situational awareness

Situational awareness in driving: the driver's perception, comprehension, and projection of the traffic scene — knowing where surrounding vehicles, hazards, and the vehicle's own automation state are and what they will do next. Accuracy of the mental model of the scene, distinct from raw attention allocation.

3189 paper(s) · ranked by relevance to this topic

1. Situation Awareness in Driving ↗ · 2020 · Endsley, Mica · indexed
2. Assessing Drivers' Situation Awareness in Semi-Autonomous Vehicles: ASP based Characterisations of Driving Dynamics for Modelling Scene Interpretation and Projection · 2023 · Suchan, Jakob et al. · archived
3. Situational awareness in the automotive domain - Effects on driving performance and driver's behavior ↗ · 2023 · Pečečnik, Kristina Stojmenova · indexed
4. Modelling level 1 situation awareness in driving: A cognitive architecture approach · 2024 · Rehman, Umair et al. · archived
5. Model for Situation Awareness and Driving: Application to Analysis and Research for Intelligent Transportation Systems ↗ · 2001 · Matthews, Michael L. et al. · indexed
6. Understanding Driver's Situation Awareness in Highly Automated Driving ↗ · 2022 · Kim, Young Woo et al. · indexed
7. Towards Context-Aware Modeling of Situation Awareness in Conditionally Automated Driving · 2024 · Avetisyan, Lilit et al. · archived
8. Towards Context-Aware Modeling of Situation Awareness in Conditionally Automated Driving ↗ · 2025 · Avetisyan, Lilit et al. · indexed
9. The Impact of Environmental Complexity on Drivers’ Situation Awareness ↗ · 2022 · Park, Sami et al. · indexed
10. Situational Awareness in the Context of Automated Driving - Adapting the Situational Awareness Global Assessment Technique · 2023 · Schwindt, Sarah et al. · archived
11. The mismatch between perceived situation awareness and hazard recognition in automated driving ↗ · 2025 · Nasser, George et al. · indexed
12. Assessing Drivers' Situation Awareness in Semi-Autonomous Vehicles: ASP based Characterisations of Driving Dynamics for Modelling Scene Interpretation and Projection ↗ · 2023 · Suchan, Jakob et al. · indexed
13. When is more actually better? expert opinions on assessment of situation awareness in relation to safe driving · 2024 · Zwart, Rins de et al. · archived
14. Improving Driver Situation Awareness Prediction using Human Visual Sensory and Memory Mechanism ↗ · 2021 · Zhu, Haibei et al. · indexed
15. Situation Awareness in Driving ↗ · 2025 · Endsley, Mica R. et al. · indexed
16. Using an Integrated Cognitive Architecture to Model the Effect of Environmental Complexity on Drivers’ Situation Awareness ↗ · 2019 · Rehman, Umair et al. · indexed
17. The driver’s instantaneous situation awareness when the alarm rings during the take-over of vehicle control in automated driving ↗ · 2022 · Niu, Jianwei et al. · indexed
18. Multimodal prediction of situation awareness during automated driving: a gaze and EEG-based approach ↗ · 2025 · Lim, Chiho et al. · indexed
19. Cognitive States Matter: Design Guidelines for Driving Situation Awareness in Smart Vehicles ↗ · 2020 · Park, Daehee et al. · indexed
20. Situation Awareness in Remote Operators of Autonomous Vehicles: Developing a Taxonomy of Situation Awareness in Video-Relays of Driving Scenes · 2021 · Mutzenich, Clare et al. · archived
21. Driver’s Mental Model of Vehicle Automation ↗ · 2020 · Seppelt, Bobbie et al. · indexed
22. Investigating the impact of context and environment on driver’s situation awareness ↗ · 2022 · Xing, Yilun et al. · indexed
23. Raising Awareness for Confusion - Stimulating the Discussion About Robustness of Mode Awareness Assessment in Automated Driving · 2025 · Plum, Lena et al. · archived
24. Situation Awareness: The Key to Safe Autonomous Systems: Plenary Talk ↗ · 2019 · Haidegger, Tamás · indexed
25. Computational Model of Situation Awareness for Decision Making in Driving ↗ · 2018 · Mustapha, Rabi et al. · indexed
26. Situation Awareness and Driving Performance in a Simulated Navigation Task ↗ · 2006 · Ma, Ruiqi et al. · indexed
27. The multitasking motorist and the attention economy · 2021 · Strayer, DL et al. · archived
28. Work domain modeling of human-automation interaction for in-vehicle automation · 2024 · Zhang, You et al. · archived
29. The effect of driver cognitive abilities and distractions on situation awareness and performance under hazard conditions · 2016 · Kaber, David B. et al. · archived
30. Situation Awareness Classification Using Multi-modal Sensing in Automated Driving ↗ · 2021 · Liang, Nade et al. · indexed
31. SITUATION AWARENESS: WHAT IT IS AND WHY IT MATTERS FOR ITS ↗ · 1999 · Harbluk, Joanne L. et al. · indexed
32. Improving Driver Situation Awareness Prediction using Human Visual Sensory and Memory Mechanism · 2021 · Zhu, Haibei et al. · archived
33. Automated driving, secondary task performance and situation awareness ↗ · 2010 · Merat, Natasha et al. · indexed
34. Modeling Driver Situational Awareness in Takeover Scenarios Using Multimodal Data and Machine Learning ↗ · 2025 · Jia, Lesong et al. · indexed
35. A Cognitive Model to Anticipate Variations of Situation Awareness and Attention for the Takeover in Highly Automated Driving ↗ · 2022 · Scharfe-Scherf, Marlene Susanne Lisa et al. · indexed
36. The apparent intelligence of a system as a factor in situation awareness ↗ · 2014 · Thill, Serge et al. · indexed
37. An enhanced vehicle control model for assessing highly automated driving safety · 2020 · Monkhouse, Helen E. et al. · archived
38. How to assess situation awareness while driving with automation? Impact of visual attention during AD mode on measures of situation awareness ↗ · 2025 · Metz, Barbara et al. · indexed
39. Modeling Drivers' Situational Awareness from Eye Gaze for Driving Assistance · 2024 · Biswas, Abhijat et al. · archived
40. Situation awareness and driving performance in a simulated navigation task ↗ · 2007 · Ma, Ruiqi et al. · indexed
41. Human Performance in Vehicle Driving · 2026 · Abendroth, Bettina et al. · archived
42. Drivers with limited perception: model and application to traffic simulation · 2014 · Ketenci, Utku et al. · archived
43. Measuring Driver Situation Awareness Using Region-of-Interest Prediction and Eye Tracking ↗ · 2020 · Hofbauer, Markus et al. · indexed
44. Theoretical Underpinnings of Situation Awareness, A Critical Review · 2000 · Endsley, Mica R. · archived
45. Situation Awareness Misconceptions and Misunderstandings · 2015 · Endsley, Mica R. · archived
46. Drivers’ situational awareness of surrounding vehicles during takeovers: Evidence from a driving simulator study ↗ · 2024 · Jia, Lesong et al. · indexed
47. The "Out-of-the-Loop" concept in automated driving: proposed definition, measures and implications · 2018 · Merat, Natasha et al. · archived
48. 2nd Workshop on Situation Awareness in Automotive Evaluation & Design ↗ · 2018 · Zhang, Yu et al. · indexed
49. Driver’s Mental Models of Advanced Vehicle Technologies: A Proposed Framework for Identifying and Predicting Operator Errors · 2021 · Pradhan, Anuj K. et al. · archived
50. Some Characteristics of Mental Models of Advanced Driver Assistance Systems: A Semi-structured Interviews Approach ↗ · 2020 · Nees, Michael A. et al. · indexed
51. Structural Equation Modeling of Drivers’ Situation Awareness Considering Road and Driver Factors ↗ · 2020 · Yang, Yanqun et al. · indexed
52. Situation awareness in remote operators of autonomous vehicles: Developing a taxonomy of situation awareness in video-relays of driving scenes ↗ · 2021 · Mutzenich, Clare et al. · indexed
53. Towards a Driver Monitoring System for Estimating Driver Situational Awareness ↗ · 2019 · Hijaz, Ala’aldin et al. · indexed
54. How much time do drivers need to obtain situation awareness? A laboratory-based study of automated driving ↗ · 2016 · Lu, Zhenji et al. · indexed
55. Modeling Driver Response to Imperfect Vehicle Control Automation ↗ · 2015 · Seppelt, Bobbie D. et al. · indexed
56. A novel goal oriented concept for situation representation for ADAS and automated driving ↗ · 2014 · Schmidt, Max Theo et al. · indexed
57. An On-Road Investigation of Vehicle Feedback and Its Role in Driver Cognition: Implications for Cognitive Ergonomics ↗ · 2001 · Walker, Guy H. et al. · indexed
58. A proposed psychological model of driving automation ↗ · 2000 · Stanton, Neville A. et al. · indexed
59. The Effects of Visual and Cognitive Distraction on Driver Situation Awareness · 2011 · Rogers, Meghan L. et al. · archived
60. A Comparative Study on Situation Awareness While Reading in a Highly Automated Vehicle ↗ · 2026 · Mirnig, Alexander G. et al. · indexed
61. Model-based estimation of the state of vehicle automation as derived from the driver's spontaneous visual strategies · 2019 · Schnebelen, Damien et al. · archived
62. Toward Measurement of Situation Awareness in Autonomous Vehicles ↗ · 2017 · Sirkin, David et al. · indexed
63. A Panoramic Review of Situational Awareness Monitoring Systems ↗ · 2023 · Elshafei, Aly et al. · indexed
64. Automation Confusion: Mental Models for Safe Vehicle Adoption ↗ · 2023 · Biondi, FN · indexed
65. USING ARTIFICIAL POTENTIAL FIELDS TO MODEL DRIVER SITUATIONAL AWARENESS ↗ · 2022 · Jensen, Emily et al. · indexed
66. Factors That Affect Drivers’ Perception of Closing and an Immediate Hazard · 2023 · Weaver, Bradley W. et al. · archived
67. Effect of ADAS use on drivers' information processing and Situation Awareness ↗ · 2013 · Beggiato, Matthias · indexed
68. Investigating Explanations in Conditional and Highly Automated Driving: The Effects of Situation Awareness and Modality · 2022 · Zhou, Feng · archived
69. Ubiquitous co-driver system and its effects on the situation awareness of the driver ↗ · 2008 · Karvonen, Hannu et al. · indexed
70. Applicability of risky decision-making theory to understand drivers' behaviour during transitions of control in vehicle automation · 2019 · GONÇALVES, Rafael Cirino et al. · archived
71. Toward a Theory of Situation Awareness in Dynamic Systems ↗ · 1995 · Endsley, Mica R. · indexed
72. Situation Awareness, Scenarios, and Secondary Tasks: Measuring Driver Performance and Safety Margins in Highly Automated Vehicles ↗ · 2016 · Gibson, Madeleine et al. · indexed
73. Using Driver State Detection in Automated Vehicles · 2018 · Gaspar, John et al. · archived
74. Catch My Drift: Elevating Situation Awareness for Highly Automated Driving with an Explanatory Windshield Display User Interface · 2018 · Lindemann, Patrick et al. · archived
75. Multimodal Sensing and Computational Intelligence for Situation Awareness Classification in Autonomous Driving ↗ · 2023 · Liang, Nade et al. · indexed
76. Situational Awareness, Drivers Trust in Automated Driving Systems and Secondary Task Performance · 2019 · Petersen, Luke et al. · archived
77. The Impact of Environmental Features on Drivers’ Situation Awareness Using Real-World Driving Scenarios ↗ · 2023 · Xing, Yilun et al. · indexed
78. Use of vehicle behavior for supporting driver’s situation awareness on the automated driving ↗ · 2016 · ISHIDA, Wakana et al. · indexed
79. Exploring the Relationship Between Drivers’ Stationary Gaze Entropy and Situation Awareness in a Level-3 Automation Driving Simulation ↗ · 2024 · Ding, Wen et al. · indexed
80. From Awareness to Intent: Mitigating Silent Driving System Failures through Prospective Situation Awareness Enhancing Interfaces · 2026 · Wang, Jiyao et al. · archived
81. A Contextual Multimodal System for Increasing Situation Awareness and Takeover Quality in Conditionally Automated Driving · 2023 · Capallera, Marine et al. · archived
82. Mathematical Definitions of Scene and Scenario for Analysis of Automated Driving Systems in Mixed-Traffic Simulations · 2021 · Andreotti, Eleonora et al. · archived
83. Investigating explanations in conditional and highly automated driving: The effects of situation awareness and modality · 2022 · Zhang, Qiaoning et al. · archived
84. Investigating the interplay between cognitive workload and situation awareness during full driving automation ↗ · 2025 · Sahoo, P et al. · indexed
85. Situation Awareness in Automated Vehicles through Proximal Peripheral Light Signals ↗ · 2017 · van Veen, Tom et al. · indexed
86. The Impact of Driver’s Mental Models of Advanced Vehicle Technologies on Safety and Performance · 2020 · AAA Foundation for Traffic Safety · archived
87. Modeling Social Situation Awareness in Driving Interactions ↗ · 2024 · Klein, Navit et al. · indexed
88. Modeling driver-vehicle interaction in automated driving Modellierung der Fahrer-Fahrzeug-Interaktion beim automatisierten Fahren · 2022 · Nobari, Khazar Dargahi et al. · archived
89. Mental model evolvement during drivers' first experience with conditionally automated driving systems in real-world traffic ↗ · 2026 · Schwindt-Drews, Sarah et al. · indexed
90. Saliency-Based Attention Shifting: A Framework for Improving Driver Situational Awareness of Out-of-Label Hazards · 2025 · Shleibik, Yousra et al. · archived
91. The Impact of Load on Dynamic versus Static Situational Knowledge While Driving ↗ · 2009 · Clegg, Benjamin A. · indexed
92. Modeling Drivers' Risk Perception via Attention to Improve Driving Assistance · 2024 · Biswas, Abhijat et al. · archived
93. Workshop on Situation Awareness in Automotive Evaluation & Design ↗ · 2016 · Zhang, Yu et al. · indexed
94. Supervising the self-driving car: Situation awareness and fatigue during highly automated driving ↗ · 2023 · McKerral, Angus et al. · indexed
95. A Closed-Loop Model of Operator Visual Attention, Situation Awareness, and Performance Across Automation Mode Transitions ↗ · 2016 · Johnson, Aaron W. et al. · indexed
96. Development of Situational Awareness Enhancing System for Manual Takeover of AV · 2023 · Li, Yujie et al. · archived
97. A simple model of driver behaviour to sustain design and safety assessment of automated systems in automotive environments ↗ · 2010 · Cacciabue, Pietro Carlo et al. · indexed
98. A theoretical model of human-automation interaction grounded in resource allocation policy during automated driving ↗ · 2018 · Yamani, Yusuke et al. · indexed
99. Minimum Time to Situation Awareness in Scenarios Involving Transfer of Control from an Automated Driving Suite ↗ · 2016 · Samuel, Siby et al. · indexed
100. DEVELOPING A MODEL OF DRIVER PERFORMANCE, SITUATION AWARENESS, AND COGNITIVE LOAD CONSIDERING DIFFERENT LEVELS OF PARTIAL VEHICLE AUTONOMY ↗ · 2022 · Cossitt, Jessie E. et al. · indexed
101. User Interactions with Vehicle Automation Technologies: A Review of Previous Research and a Proposed Framework · 2023 · AAA Foundation for Traffic Safety · archived
102. Enhancing situational awareness in highly automated vehicles through driver monitoring ↗ · 2019 · Kashef, Omeed et al. · indexed
103. Modeling driver behavior in critical traffic scenarios for the safety assessment of automated driving ↗ · 2023 · Fries, Alexandra et al. · indexed
104. Using Eye-Tracking Data to Predict Situation Awareness in Real Time During Takeover Transitions in Conditionally Automated Driving ↗ · 2021 · Zhou, Feng et al. · indexed
105. Multimodal interface and reliability displays: Effect on attention, mode awareness, and trust in partially automated vehicles · 2023 · Monsaingeon, Noé et al. · archived
106. Improved driver modeling for human-in-the-loop vehicular control · 2015 · Driggs-Campbell, Katherine et al. · archived
107. Assessing the validity of situation awareness measures through visual behaviours in car driving: A comprehensive review ↗ · 2026 · Pelerin, Maëlle et al. · indexed
108. Exploring the impact of display types of information about autonomous driving in semi-autonomous vehicles on drivers’ situation awareness and take-over performance under different driving scenarios · 2025 · Zhou, Chengmin et al. · archived
109. Active Inference Models of AV Takeovers: Relating Model Parameters to Trust, Situation Awareness, and Fatigue ↗ · 2024 · Wei, Ran et al. · indexed
110. The Impact of Autonomous Driving Takeover Assistance Information Design on Driver Takeover Performance and Situational Awareness · 2024 · Xie, Lintong et al. · archived
111. What Drivers Know and Think They Know During Takeover: Effects of Spatial Risk, Temporal Risk, and NDRT on Situation Awareness ↗ · 2026 · Lo, Wei-Hsiang et al. · indexed
112. Investigating the Impact of Guidance System at Intersections on Driver Situation Awareness ↗ · 2023 · Liao, Ying et al. · indexed
113. Development of a Method to Estimate Shortage of Situation Awareness in Takeover based on Reference Model of Cognitive Behavior ↗ · 2020 · OKA, Naoki et al. · indexed
114. Relation between driver behavior and situation awareness while driving with driving support system ↗ · 2003 · KIKUCHI, Kazunori et al. · indexed
115. Identifying Traffic Scenarios to Evaluate Driver Readiness in Automated Driving: An Exploratory Study ↗ · 2018 · Fukui, Toshinao et al. · indexed
116. Advanced vehicle technology: Mapping mental model accuracy and system exposure to driver behavior ↗ · 2021 · Benson, Aaron et al. · indexed
117. Semiotics and mental models: modeling automobile driver behavior ↗ · 2002 · Goodrich, M.A. et al. · indexed
118. Are you in the loop? Using gaze dispersion to understand driver visual attention during vehicle automation · 2017 · Louw, Tyron et al. · archived
119. Mapping drivers’ mental models of adaptive cruise control to performance ↗ · 2021 · Gaspar, John et al. · indexed
120. 2017 Forum on the Impact of Vehicle Technologies and Automation on Users: A Summary Report · 2018 · AAA Foundation for Traffic Safety · archived
121. A generic multi-scale framework for microscopic traffic simulation part II – Anticipation Reliance as compensation mechanism for potential task overload · 2020 · Calvert, Simeon C. et al. · archived
122. SITUATION AWARENESS IN AVIATION SYSTEMS. IN: HANDBOOK OF AVIATION HUMAN FACTORS ↗ · 1999 · Endsley, Mica R. · indexed
123. A computational model for driver's cognitive state, visual perception and intermittent attention in a distracted car following task ↗ · 2018 · Pekkanen, Jami et al. · indexed
124. A supportive situation awareness model for human-autonomy teaming in collaborative driving ↗ · 2020 · Kridalukmana, Rinta et al. · indexed
125. Editorial: Cognitive Mechanisms for Safe Road Traffic Systems · 2022 · Vecchiato, Giovanni et al. · archived
126. DEV: A Driver-Environment-Vehicle Closed-Loop Framework for Risk-Aware Adaptive Automation of Driving · 2025 · Halin, Anaïs et al. · archived
127. The Effect of Automated Driving Levels and Road Type on Driver’s Performances in Secondary Tasks and Situation Awareness ↗ · 2024 · The Korean Data Analysis Society et al. · indexed
128. Automation Expectation Mismatch: Incorrect Prediction Despite Eyes on Threat and Hands on Wheel ↗ · 2018 · Victor, Trent et al. · indexed
129. Reading During Fully Automated Driving: A Study of the Effect of Peripheral Visual and Haptic Information on Situation Awareness and Mental Workload · 2022 · Yusof, Nidzamuddin Md. et al. · archived
130. Great expectations: a predictive processing account of automobile driving · 2017 · Engström, Johan et al. · archived
131. Minimum Time to Situational Awareness During Transfer of Control Under Varying Levels of Task Load · 2020 · Knodler, Michael A. et al. · archived
132. Effect of Obstacle Type and Cognitive Task on Situation Awareness and Takeover Performance in Conditionally Automated Driving · 2023 · Meteier, Quentin et al. · archived
133. A Computational Model of Attention/Situation Awareness ↗ · 2002 · McCarley, Jason S. et al. · indexed
134. Investigating the interplay between cognitive workload and situation awareness during full driving automation ↗ · 2024 · Sahoo, Praneet et al. · indexed
135. What Is Going on? Situation Awareness on the Road ↗ · 2018 · Salmon, Paul M. et al. · indexed
136. Peripheral Monitoring of Traffic in Conditionally Automated Driving ↗ · 2018 · Radlmayr, Jonas et al. · indexed
137. Interactive PowerPoint Training to Improve Safety Driver Awareness while Operating a Transit Vehicle Equipped with Driving Automation Features · 2023 · King, Savana et al. · archived
138. Behavioural changes in drivers experiencing highly-automated vehicle control in varying traffic conditions · 2013 · Jamson, A. Hamish et al. · archived
139. Mode Awareness and Automated Driving—What Is It and How Can It Be Measured? ↗ · 2020 · Kurpiers, Christina et al. · indexed
140. Estimating the out-of-the-loop phenomenon from visual strategies during highly automated driving · 2020 · Schnebelen, Damien et al. · archived
141. Human Factors Evaluation of Level 2 and Level 3 Automated Driving Concepts: Past Research, State of Automation Technology, and Emerging System Concepts · 2014 · Trimble, Tammy E. et al. · archived
142. Driving behavior model considering driver's over-trust in driving automation system · 2019 · Liu, Hailong et al. · archived
143. Towards Situation-Aware Decision-Making for Automated Driving ↗ · 2021 · Gerwien, Maximilian et al. · indexed
144. Effects of human-machine interaction mechanisms on situation awareness in partly automated driving ↗ · 2013 · Wulf, Felix et al. · indexed
145. Expert Drivers’ Prospective Thinking-Aloud to Enhance Automated Driving Technologies – Investigating Uncertainty and Anticipation in Traffic ↗ · 2020 · Grahn, Hilkka et al. · indexed
146. The Effect of Instructions and Context-Related Information about Limitations of Conditionally Automated Vehicles on Situation Awareness ↗ · 2020 · Meteier, Quentin et al. · indexed
147. A Driver Situational Awareness Estimation System Based on Standard Glance Model for Unscheduled Takeover Situations ↗ · 2019 · Hayashi, Hiroaki et al. · indexed
148. A generic multi-level framework for microscopic traffic simulation—Theory and an example case in modelling driver distraction · 2018 · Lint, Hans van et al. · archived
149. Driver Situation Awareness for Regaining Control from Conditionally Automated Vehicles: A Systematic Review of Empirical Studies ↗ · 2024 · Tan, Xiaomei et al. · indexed
150. On investigating drivers’ attention allocation during partially-automated driving · 2024 · Eddine, RJ et al. · archived
151. Enlightening mode awareness · 2023 · Mirnig, Alexander G. et al. · archived
152. Driver Reactions to Automated Vehicles · 2018 · Eriksson, Alexander et al. · archived
153. An Analytical Model for Estimating Average Driver Attention Based on the Visual Field ↗ · 2022 · Khairdoost, Nima et al. · indexed
154. Look ahead: understanding cognitive anticipatory processes based on situational characteristics in dynamic traffic situations ↗ · 2020 · Mühl, Kristin et al. · indexed
155. Situation awareness on the road: review, theoretical and methodological issues, and future directions ↗ · 2012 · Salmon, Paul M. et al. · indexed
156. Human-Centered Challenges and Contribution for the Implementation of Automated Driving · 2011 · van den Beukel, Arie P. et al. · archived
157. Familiarity and Complexity during a Takeover in Highly Automated Driving · 2021 · Scharfe-Scherf, Marlene Susanne Lisa et al. · archived
158. With a Little Help From My Car: Sharing Automated Vehicle’s Situation Awareness Reduces Driver-Initiated Automation Disengagement Without Delaying Takeover Response Time ↗ · 2026 · Lee, Joonbum et al. · indexed
159. In-vehicle displays to support driver anticipation of traffic conflicts in automated vehicles · 2021 · He, Dengbo et al. · archived
160. Information Needs and Visual Attention during Urban, Highly Automated Driving—An Investigation of Potential Influencing Factors · 2020 · Feierle, Alexander et al. · archived
161. Measuring Driver Adaptation to In-Vehicle Information Systems: Disassociation of Subjective and Objective Situation Awareness Measures ↗ · 1999 · Lee, John D. · indexed
162. An Eye-Fixation Related Electroencephalography Technique for Predicting Situation Awareness: Implications for Driver State Monitoring Systems ↗ · 2023 · Liang, Nade et al. · indexed
163. A Vehicle Guidance Model with a Close-to-Reality Driver Model and Different Levels of Vehicle Automation · 2021 · Ma, Xiaoyi et al. · archived
164. Situational Awareness and Time to Takeover: Exploring an Alternative Method to Measure Engagement with High-Level Automation ↗ · 2017 · Clark, Hallie et al. · indexed
165. EFFECTS OF AUGMENTED SITUATIONAL AWARENESS ON DRIVER TRUST IN SEMI-AUTONOMOUS VEHICLE OPERATION · 2017 · Tilbury, Dawn M. · archived
166. Automation and the situation awareness of drivers in agricultural semi-autonomous vehicles ↗ · 2014 · Bashiri, Behzad et al. · indexed
167. Driver Inattention During Vehicle Automation: How Does Driver Engagement Affect Resumption Of Control? ↗ · 2015 · Louw, Tyron et al. · indexed
168. Identifying the Out Of The Loop phenomenon during driving automation using spontaneous gaze behavior ↗ · 2022 · Chouchane, Hanna et al. · indexed
169. Driver’s Mental Models of Advanced Vehicle Technologies: A Proposed Framework for Identifying and Predicting Operator Errors · 2021 · AAA Foundation for Traffic Safety et al. · archived
170. Using driver monitoring to estimate readiness in automation: A conceptual model based on simulator experimental data · 2024 · Gonçalves, Rafael C. et al. · archived
171. Situation Awareness, Mental Models and Understanding ↗ · 2021 · Teichmann, Mare et al. · indexed
172. Situation Awareness and Motion Sickness in Automated Vehicle Driving Experience ↗ · 2017 · Bin Karjanto, Juffrizal et al. · indexed
173. Humans and intelligent vehicles : the hope, the help, and the harm. · 2016 · Fisher, Donald L. et al. · archived
174. Can Drivers Construct Accurate Mental Models of Autopilot? ↗ · 2025 · Salehi, Hugh et al. · indexed
175. Situation awareness assessment in critical driving situations at intersections by task and human error analysis ↗ · 2010 · Plavšić, Marina et al. · indexed
176. Accident Scenario Generation using Driver Behavior Model ↗ · 2024 · Jawad, Abdul et al. · indexed
177. Automated driving · 2020 · Janssen, Christian P. et al. · archived
178. Description of the Integrated Driver Model · 1995 · Levinson, William H. et al. · archived
179. Countermeasures To Detect and Combat Inattention While Driving Partially Automated Systems · 2023 · Paras, Carolina Rodriguez et al. · archived
180. Is conditionally automated driving a bad idea? Observations from an on-road study in automated vehicles with multiple levels of driving automation · 2025 · Kim, Soyeon et al. · archived
181. Using eye-tracking to investigate the effects of pre-takeover visual engagement on situation awareness during automated driving ↗ · 2021 · Liang, Nade et al. · indexed
182. Preface to the Special Section on Human Factors and Automation in Vehicles · 2012 · Merat, Natasha et al. · archived
183. Situation Awareness Measurement in Remotely Controlled Cars ↗ · 2021 · Linkov, Václav et al. · indexed
184. Use of High-Fidelity Simulation to Evaluate Driver Performance with Vehicle Automation Systems · 2009 · Brown, Timothy et al. · archived
185. Effects of Traffic Conditions on Driver Takeover Performance and Situational Awareness ↗ · 2023 · Jia, Lesong et al. · indexed
186. Automated Driving: Interactive Automation Control System to Enhance Situational Awareness in Conditional Automation · 2018 · Olaverri-Monreal, Cristina et al. · archived
187. Human factors implications of vehicle automation: Current understanding and future directions · 2014 · Merat, Natasha et al. · archived
188. Does advanced driver training improve situational awareness? ↗ · 2009 · Walker, Guy H. et al. · indexed
189. Towards understanding the development of driver's mental model of a Lane Departure Warning system while driving ↗ · 2014 · AZIZ, Tabinda et al. · indexed
190. A PC-Based Driving Simulator for Assessing Situation Awareness ↗ · 1997 · Gugerty, Leo et al. · indexed
191. Spotting sheep in Yorkshire: using eye-tracking for studying situation awareness in a driving simulator ↗ · 2010 · Barnard, Yvonne et al. · indexed
192. Consumer Use & Adoption of Advanced Vehicle Systems · 2019 · Seppelt, Bobbie et al. · archived
193. How to assess driver's interaction with partially automated driving systems – A framework for early concept assessment · 2017 · van den Beukel, Arie P. et al. · archived
194. Change in Mental Models of ADAS in Relation to Quantity and Quality of Exposure · 2023 · AAA Foundation for Traffic Safety · archived
195. Change in Mental Models of ADAS in Relation to Quantity and Quality of Exposure · 2023 · Pradhan, Anuj K. et al. · archived
196. Driver Situational Awareness Prediction During Takeover Transitions: A Multimodal Machine Learning Approach ↗ · 2024 · Jia, Lesong et al. · indexed
197. Driving (and) Attention – Does Directional Illumination Support Driver’s System Supervision When Driving Automatically? ↗ · 2021 · Van den Beukel, Arie P. et al. · indexed
198. Using Situation Awareness as a Measure of Driver Hazard Perception Ability ↗ · 2017 · Katrahmani, Atefeh et al. · indexed
199. What's happened to car design? An exploratory study into the effect of 15 years of progress on driver situation awareness ↗ · 2007 · Walker, Guy H. et al. · indexed
200. Scene-aware driver state understanding in car-following behaviors ↗ · 2017 · Xu, Donghao et al. · indexed
201. Tools for Transport: Driven to Learn With Connected Vehicles · 2021 · Morris, Nichole et al. · archived
202. Supporting Driver Situation Awareness for Autonomous Urban Driving with an Augmented-Reality Windshield Display ↗ · 2018 · Lindemann, Patrick et al. · indexed
203. Driver behaviour with adaptive cruise control · 2005 · Stanton, Neville A. et al. · archived
204. Driver Modeling for Detection and Assessment of Driver Distraction: Examples from the UTDrive Test Bed ↗ · 2017 · Hansen, John H.L. et al. · indexed
205. Study on Senile Driver Situational Awareness Model ↗ · 2018 · Ma, Yanyang et al. · indexed
206. The Effect of Driving Automation on Drivers' Anticipatory Glances · 2021 · He, Dengbo et al. · archived
207. Literature Review of Behavioral Adaptations to Advanced Driver Assistance Systems · 2016 · AAA Foundation for Traffic Safety · archived
208. Interaction Design of Closed Dark Cabin Driving Interface based on Situation Awareness · 2023 · Gong, Xiaodong et al. · archived
209. Cognitive and hybrid model of human driver ↗ · 2002 · Song, B. et al. · indexed
210. A Model of Anticipation in Driving ↗ · 2014 · Stahl, Patrick et al. · indexed
211. The “field of safe travel” revisited: interpreting driving behaviour performance through a holistic approach ↗ · 2017 · Papakostopoulos, Vassilis et al. · indexed
212. Influence of a Driver Support System on Situation Awareness and Information Processing in Response to Lead Vehicle Braking ↗ · 2004 · Manser, Michael P. et al. · indexed
213. Ordinal Magnitude Scaling for Automated Lane Keeping Displays ↗ · 2016 · Noah, Brittany E. et al. · indexed
214. On-Road Assessment of Driver Mode Awareness of Assisted and Automated Driving ↗ · 2022 · Britten, Nicholas et al. · indexed
215. Highly Automated Driving, Secondary Task Performance, and Driver State · 2012 · Merat, Natasha et al. · archived
216. Who’s in charge? ↗ · 2020 · Novakazi, Fjollë et al. · indexed
217. Models of human decision-making as tools for estimating and optimising impacts of vehicle automation · 2017 · Markkula, Gustav et al. · archived
218. Post Take-Over Performance Varies in Drivers of Automated and Connected Vehicle Technology in Near-Miss Scenarios · 2024 · Yamani, Yusuke et al. · archived
219. Driving on the tail of catastrophe; Towards an understanding of the risk managing interaction between driver, vehicle, automation, traffic, and infrastructure ↗ · 2006 · Boer, Erwin · indexed
220. Were they in the loop during automated driving? Links between visual attention and crash potential · 2017 · Louw, Tyron et al. · archived
221. Look Up! An Eye-Tracking Study on Situation Awareness During Automated Vehicle Takeover ↗ · 2021 · Liang, Nade et al. · indexed
222. From young to old: The effects of information presentation type, multimodal display, and age on situation awareness and processing time in automated vehicles · 2024 · Du, Na et al. · archived
223. Situational Awareness Assessment of Drivers Boosted by Eye-Tracking Metrics: A Literature Review ↗ · 2024 · Arias-Portela, Claudia Yohana et al. · indexed
224. Toward a Theory of Situation Awareness in Dynamic Systems ↗ · 2017 · Endsley, Mica R. · indexed
225. Physiological Indices to Predict Driver Situation Awareness in VR ↗ · 2023 · Kim, Gwangbin et al. · indexed
226. How Does Maritime Situation Awareness Depend on Navigation Automation and Mental Workload? A Sea Simulator Experiment ↗ · 2023 · Múller-Plath, Gisela et al. · indexed
227. Recognizing Driver Awareness of Pedestrian ↗ · 2014 · Phan, Minh Tien et al. · indexed
228. Identifying Outcome Measures to Evaluate Drivers’ Knowledge of Vehicle Automation · 2024 · AAA Foundation for Traffic Safety · archived
229. The Impact of Mental States, Scenarios, and Modalities on Informative Takeover Requests in Automated Driving ↗ · 2025 · Lo, Wei-Hsiang et al. · indexed
230. Human Factors Evaluation of Level 2 and Level 3 Automated Driving Concepts: Concepts of Operation · 2014 · Marinik, Andrew et al. · archived
231. Embodied Cognitive Architecture to Support Driver Performance ↗ · 2018 · Artifice, Andreia et al. · indexed
232. Driver Models for Both Human and Autonomous Vehicles · 2018 · Kurt, Arda et al. · archived
233. Cognitive Attention Models for Driver Engagement in Intelligent and Semi-autonomous Vehicles · 2018 · Lee, John D. et al. · archived
234. Quantitative models for automation rate and situation awareness response: A case study of levels of driving automation ↗ · 2021 · Liu, Yunmei et al. · indexed
235. Managing Driving Modes in Automated Driving Systems · 2022 · Ríos Insua, David et al. · archived
236. A Review of Situation Awareness Assessment Approaches in Aviation Environments · 2019 · Nguyen, Thanh Thi et al. · archived
237. Illuminating Safety: Can Light Cues Enhance Situation Awareness During Take-Overs in Conditional Automated Driving? ↗ · 2024 · Kuhlmann, Kerstin et al. · indexed
238. Hazard perception in manual and hands-off Level 2 driving under daytime and after dark lighting conditions: A driving simulator study · 2026 · Lee, Yee Thung et al. · archived
239. Investigation of Driver Adaptations in a Mixed Traffic Environment · 2024 · Kondyli, Alexandra et al. · archived
240. Enhancing Automated Vehicle Safety Through Testing with Realistic Driver Models · 2023 · Garcia, Alfredo et al. · archived
241. Understanding Automation Surprise in Non-Critical Highly Automated Driving: An Initial On-Road Probing Study · 2024 · Dong, Haoyu et al. · archived
242. Engaging with Highly Automated Driving: To be or Not to be in the Loop? · 2015 · Louw, Tyron et al. · archived
243. Mental models and driver takeover in automated vehicles: a systematic review ↗ · 2025 · Nasser, George et al. · indexed
244. Combining Driving Automation Intent and Hazard Information with an Attention Reminder System: Is More Information Always Better? ↗ · 2025 · Kanaan, Dina et al. · indexed
245. Identifying objective behavioural measures of expert driver situation awareness ↗ · 2021 · McKerral, Angus et al. · indexed
246. Driver Inattention Detection in the Context of Next-Generation Autonomous Vehicles Design: A Survey ↗ · 2020 · El Khatib, Alaa et al. · indexed
247. Aware of Scene Vehicles—Probabilistic Modeling of Car-Following Behaviors in Real-World Traffic ↗ · 2019 · Xu, Donghao et al. · indexed
248. Autonomous Driving Systems: A Preliminary Naturalistic Study of the Tesla Model S ↗ · 2017 · Endsley, Mica R. · indexed
249. 2021 Virtual Forum on the Impact of Vehicle Technologies and Automation on Users: A Summary Report · 2022 · AAA Foundation for Traffic Safety · archived
250. Situation Awareness in Individuals, Teams and Systems: An Overview of Situation Awareness Models and Their Utility for Road Safety Research and Practice ↗ · 2018 · Salmon, Paul M. et al. · indexed
251. Anticipatory Driving in Automated Vehicles: The Effects of Driving Experience and Distraction · 2023 · He, Dengbo et al. · archived
252. Bad Driving Is Associated With Lower Awareness of Driving · 2019 · Sanbonmatsu, David M. et al. · archived
253. Examining Driver Situation Awareness in the Takeover Process of Conditionally Automated Driving With the Effect of Age ↗ · 2024 · Ding, Wen et al. · indexed
254. A Predictive Model of Driver Response in an Autonomous Environment ↗ · 2015 · Samuel, Siby et al. · indexed
255. Attention for Vision-Based Assistive and Automated Driving: A Review of Algorithms and Datasets · 2022 · Kotseruba, Iuliia et al. · archived
256. Building Blocks of Responsibility - A Conceptual Model Illustrating the Factors Influencing Perceived Responsibility Over the Driving Task when Interacting with Driving Automation Systems ↗ · 2022 · Lidander, Linnéa et al. · indexed
257. Supporting operator reliance on automation through continuous feedback · 2009 · Seppelt, Bobbie · archived
258. Examining Driver Situation Awareness in the Takeover Process of Conditionally Automated Driving With the Effect of Age ↗ · 2024 · Ding, Wen et al. · indexed
259. A New Vision About AI and Situation Awareness Model of Auto-driving with Implicit Memory ↗ · 2018 · SONG, Hang et al. · indexed
260. Improving Driver Engagement During L2 Automation: A Pilot Study · 2019 · Pradhan, Anuj K et al. · archived
261. Seeing the automation malfunction before it happens: designing information cues that support driver situation awareness ↗ · 2026 · Garakani, Golnoosh et al. · indexed
262. Effects of vehicle behavior for situation awareness when using a driving automation system ↗ · 2017 · Ishida, Wakana et al. · indexed
263. Maintaining Situational Awareness: The Role of Visual Attention ↗ · 1999 · Chaparro, Alex et al. · indexed
264. The Implementation of Driver Model Based on the Attention Transfer Process ↗ · 2017 · Zhao, ShuanFeng et al. · indexed
265. Human machine interface design for continuous support of mode awareness during automated driving: An online simulation ↗ · 2022 · Tinga, Angelica M. et al. · indexed
266. Learning and Development of Mental Models during Interactions with Driving Automation: A Simulator Study ↗ · 2019 · Forster, Yannick et al. · indexed
267. Trust rises, attention falls: divergent effects of exposure and education in driving automation · 2026 · Chouchane, Hanna et al. · archived
268. Using Driver State Detection in Automated Vehicles [supporting dataset] · 2019 · Gaspar, John et al. · archived
269. Semantic state space for high-level maneuver planning in structured traffic scenes ↗ · 2014 · Kohlhaas, Ralf et al. · indexed
270. Modeling drivers' visual attention allocation while interacting with in-vehicle technologies. ↗ · 2006 · Horrey, William J. et al. · indexed
271. A Hybrid Dynamic Model for Predicting Human Cognition and Reliance During Automated Driving ↗ · 2025 · Jeevanandam, Sibibalan et al. · indexed
272. Relationship Between Driver Eyes-Off-Road Interval and Hazard Detection Performance Under Automated Driving ↗ · 2016 · Glaser, Yi G. et al. · indexed
273. Semi-automated versus highly automated driving in critical situations caused by automation failures · 2014 · Strand, Niklas et al. · archived
274. Anticipatory driving competence ↗ · 2013 · Stahl, Patrick et al. · indexed
275. Mechanisms for the acquisition of situation awareness in situated agents ↗ · 2011 · Chiappe, Dan et al. · indexed
276. Is partially automated driving a bad idea? Observations from an on-road study · 2018 · Banks, Victoria A. et al. · archived
277. An HMI Concept to Improve Driver's Visual Behavior and Situation Awareness in Automated Vehicle ↗ · 2018 · Yang, Yucheng et al. · indexed
278. Does training improve users' mental models about adaptive cruise control? · 2024 · Hungund, Apoorva et al. · archived
279. Minimum Required Attention: A Human-Centered Approach to Driver Inattention ↗ · 2017 · Kircher, Katja et al. · indexed
280. Modelling the Dynamics of Situation Awareness Recovery: The Impact of Graded Warning Strategies in Automated Driving Takeovers ↗ · 2026 · Ding, Yaonan et al. · indexed
281. Precursor Systems Analyses of Automated Highway Systems. Automated Check Out · 1995 · NHTSA · archived
282. Toward a Theory of Visual Information Acquisition in Driving ↗ · 2022 · Wolfe, Benjamin et al. · indexed
283. 2019 Forum on the Impact of Vehicle Technologies and Automation on Users – Design and Safety Implications: A Summary Report · 2020 · AAA Foundation for Traffic Safety · archived
284. SITUATION AWARENESS ↗ · 2021 · Endsley, Mica R. · indexed
285. Attentional Demand as a Function of Contextual Factors in Different Traffic Scenarios ↗ · 2019 · Liu, Zhuofan et al. · indexed
286. Framework of Adaptive Driving: Linking Situation Awareness, Driving Goals, and Driving Intentions Using Eye-Tracking and Vehicle Kinetic Data ↗ · 2025 · Lai, Hsueh-Yi · indexed
287. Autonomous Driving · 2016 · Maurer, Markus et al. · archived
288. Driving automation forward : human factors for limited-ability autonomous driving systems. · 2010 · NHTSA · archived
289. Evaluation of methods for the assessment of attention while driving ↗ · 2018 · Kircher, Katja et al. · indexed
290. Attention Selection and Multitasking in Everyday Driving: A Conceptual Model ↗ · 2017 · Engström, Johan et al. · indexed
291. What's skill got to do with it? Vehicle automation and driver mental workload ↗ · 2007 · Young, M. S. et al. · indexed
292. Evaluation of peripheral vision displays to support driver’s situation awareness in automated driving takeover ↗ · 2025 · Li, Jue et al. · indexed
293. Human-Automation Interaction and the Challenge of Maintaining Situation Awareness in Future Autonomous Vehicles ↗ · 2019 · Endsley, Mica R. · indexed
294. Investigation of Automated Vehicle Effects on Driver's Behavior and Traffic Performance · 2016 · Aria, Erfan et al. · archived
295. The Role of Simulation in a Staged Learning Model for Novice Driver Situational Awareness Training ↗ · 2001 · Staplin, Loren et al. · indexed
296. Assessment selection in human-automation interaction studies: The Failure-GAM2E and review of assessment methods for highly automated driving · 2018 · Grane, Camilla · archived
297. A human factors perspective on automated driving · 2017 · Kyriakidis, Miltos et al. · archived
298. Multidimensional Assessment of Takeover Performance in Conditionally Automated Driving · 2025 · Liang, Kexin et al. · archived
299. An Empirical Model of Driver Workload Dynamics at Unsignalized Intersections ↗ · 2026 · Wang, Yiyun et al. · indexed
300. Towards a skill- and ability-based development process for self-aware automated road vehicles · 2017 · Nolte, Marcus et al. · archived
301. The Impact of a Priori Information on Drivers’ Mental Models, Attitudes, and Behavior in Interaction with Partial and Conditional Driving Automation ↗ · 2024 · Feinauer, Sophie et al. · indexed
302. Processing of complex traffic scenes for effective steering and collision avoidance: a perspective, from research on locomotion · 2024 · Wann, John P. · archived
303. Control Task Substitution in Semiautomated Driving · 2012 · Carsten, Oliver et al. · archived
304. DriveSAM: Cognitive Perspective on Driving Maneuvers Based on Drivers’ Attention Using Eye Gaze Data · 2023 · Kwakye, Kelvin et al. · archived
305. Influence of automated driving on driver’s own localization: a driving simulator study ↗ · 2018 · Umeno, Ryuichi et al. · indexed
306. Situation awareness and maritime traffic: having awareness or being in control? ↗ · 2012 · van Westrenen, Fulko et al. · indexed
307. Predicting driver adaptability: a computational rationality model for attention allocation in lateral vehicle control ↗ · 2026 · Hautaoja, Toni · indexed
308. Driver State Monitoring: Manipulating Reliability Expectations in Simulated Automated Driving Scenarios · 2022 · Perello-March, Jaume R. et al. · archived
309. Situation Awareness in Driving While Using Adaptive Cruise Control and a Cell Phone ↗ · 2005 · Ma, Ruiqi et al. · indexed
310. Driver distraction and inattention in the realm of automated driving ↗ · 2018 · Cunningham, Mitchell L. et al. · indexed
311. A Study on the Driver-Vehicle Interaction System in Autonomous Vehicles Considering Driver’s Attention Status ↗ · 2022 · Song, Yein et al. · indexed
312. The effects of conversation on working memory and situation awareness in simulated driving · 2018 · Heenan, Adam · archived
313. Exploring factors in Human Cognition that affect Human Performance during Takeover in Autonomous Driving · 2024 · Liu, Zijing et al. · archived
314. An online-survey on user expectations and mental model of automated driving: The effects of automation description and technology readiness · 2024 · Metz, Barbara et al. · archived
315. Driving automation state-of-mind: Using training to instigate rapid mental model development ↗ · 2020 · Krampell, Martin et al. · indexed
316. Situation awareness in young novice ambulance drivers: So much more than driving ↗ · 2018 · Scott-Parker, B. et al. · indexed
317. Situation awareness with different levels of automation ↗ · 2014 · Miller, Dave et al. · indexed
318. Psychological constructs in driving automation: a consensus model and critical comment on construct proliferation ↗ · 2015 · Heikoop, Daniël D. et al. · indexed
319. Multimodal Physiological Models of Situation Awareness ↗ · 2024 · Smith, Kieran et al. · indexed
320. Situational Awareness: Techniques, Challenges, and Prospects ↗ · 2022 · Munir, Arslan et al. · indexed
321. Hypovigilance in limited self-driving automation: Peripheral visual stimulus for a balanced level of automation and cognitive workload ↗ · 2017 · Capalar, Jusuf et al. · indexed
322. Modeling of takeover variables with respect to driver situation awareness and workload for intelligent driver assistance ↗ · 2019 · Tanshi, Foghor et al. · indexed
323. Design of On-body Tactile Displays to Enhance Situation Awareness in Automated Vehicles ↗ · 2022 · Chiossi, Francesco et al. · indexed
324. Situation Awareness Levels to Evaluate the Usability of Augmented Feedback to Support Driving in an Unfamiliar Traffic Regulation ↗ · 2021 · Alyamani, Hasan J. et al. · indexed
325. 80 MPH and out-of-the-loop: Effects of real-world semi-automated driving on driver workload and arousal · 2018 · Biondi, FN et al. · archived
326. Driver Distraction Injury Prevention Countermeasures‚ÄîPart 2 · 2008 · Regan, Michael et al. · archived
327. Design Factors of Shared Situation Awareness Interface in Human–Machine Co-Driving ↗ · 2022 · You, Fang et al. · indexed
328. Situation Awareness and System Trust Affecting Handover Processes in Self-Driving Cars up to Level 3 Autonomy ↗ · 2019 · Drexler, Dániel András et al. · indexed
329. Effects of Auditory Stimuli and Verbal Communications on Drivers' Situation Awareness in Partially Automated Driving ↗ · 2018 · Hirano, Toshiaki et al. · indexed
330. A COMPREHENSIVE MICROSCOPIC AUTONOMOUS DRIVER MODEL FOR USE IN HIGH- FIDELITY DRIVING SIMULATION ENVIRONMENTS ↗ · 2001 · Papelis, Yiannis et al. · indexed
331. Cooperation Between Vehicle and Driver: Predicting the Driver’s Takeover Capability in Cooperative Automated Driving Based on Orientation Patterns · 2024 · Herzberger, Nicolas et al. · archived
332. Driver Expectations for System Control Errors, Driver Engagement, and Crash Avoidance in Level 2 Driving Automation Systems · 2021 · Russell, Sheldon M. et al. · archived
333. Impact of Temporary Browsing Restrictions on Drivers’ Situation Awareness When Interacting with In-Vehicle Infotainment Systems · 2022 · Meyer, Jason et al. · archived
334. A hierarchical model of operational anticipation windows in driving an automobile ↗ · 2006 · Tanida, Koji et al. · indexed
335. Research on Enhanced Situation Awareness Model with DMI Visualization Cues for High-Speed Train Driving ↗ · 2023 · Wang, Aobo et al. · indexed
336. From distraction to support: evolving perspectives on driver attention support and the case for a holistic, context-aware framework ↗ · 2026 · Reimer, Bryan et al. · indexed
337. Modeling Driver Behavior in a Cognitive Architecture ↗ · 2006 · Salvucci, Dario D. · indexed
338. Análisis del comportamiento visual del conductor aplicado a la toma de decisiones en vehículos autónomos ↗ · 2023 · Sánchez–Mateo, Sofia · indexed
339. Driver Support Functions under Resource-Limited Situations ↗ · 2008 · INAGAKI, Toshiyuki et al. · indexed
340. Construction and Analysis of Driver Takeover Behavior Modes Based on Situation Awareness Theory ↗ · 2024 · Chen, Haolin et al. · indexed
341. CityMobil · 2009 · Toffetti, Antonella et al. · archived
342. Using Multilevel Hidden Markov Models to Understand Driver Hazard Avoidance during the Takeover Process in Conditionally Automated Vehicles · 2023 · Wang, Manhua et al. · archived
343. The influence of cognitive distractions and driving experience on hazard perception performance ↗ · 2025 · Sun, Meng et al. · indexed
344. Can You Hazard a Guess?: Evaluating the Effect of Augmented Reality Cues on Driver Hazard Prediction ↗ · 2024 · Goodge, Thomas Alexander et al. · indexed
345. Multi-vehicle anticipation-based driver behavior models: a synthesis of existing research and future research directions ↗ · 2024 · Nirmale, Sangram et al. · indexed
346. An Approach for the Selection and Description of Elements Used to Define Driving Scenarios – Part II · 2023 · Rao, Sughosh J. et al. · archived
347. Influence of automated driving on driver’s own localization: a driving simulator study ↗ · 2019 · Umeno, Ryuichi et al. · indexed
348. Research of the Level of Driver Involvement in the Management of a Highly Automated Vehicle ↗ · 2022 · Zabudskiy, A. Yu. et al. · indexed
349. Towards a Human-Centred Cognitive Model of Visuospatial Complexity in Everyday Driving · 2020 · Suchan, Jakob · archived
350. Identification and Quantification of Hazardous Scenarios for Automated Driving · 2020 · Kramer, Birte et al. · archived
351. Effect of Driver Scope Awareness in the Lane Changing Maneuvers Using Cellular Automaton Model ↗ · 2013 · Arai, Kohei et al. · indexed
352. Frequency and Quality of Exposure to Adaptive Cruise Control and Impact on Trust, Workload, and Mental Models · 2023 · Pradhan, Anuj K. et al. · archived
353. Making driver modeling attractive ↗ · 2005 · Pellecchia, A. et al. · indexed
354. Ontology based Scene Creation for the Development of Automated Vehicles · 2018 · Bagschik, Gerrit et al. · archived
355. An Examination of How Longer-Term Exposure and User Experiences Affect Drivers’ Mental Models of ADAS Technology · 2022 · AAA Foundation for Traffic Safety · archived
356. Anger Effects on Driver Situation Awareness and Driving Performance ↗ · 2014 · Jeon, Myounghoon et al. · indexed
357. Conversation during Partially Automated Driving: How Attention Arousal is Effective on Maintaining Situation Awareness ↗ · 2019 · Lee, Jieun et al. · indexed
358. Vision-Language Hazard Reasoning for Driver Distraction and Workload Estimation ↗ · 2025 · Ng, Shu-Kay et al. · indexed
359. Towards enhanced situation awareness in HMI for traffic operations: a robust eye-tracking-based method ↗ · 2026 · Yu, Xiaoqing et al. · indexed
360. Driver Involvement in Lane-Change Decision Making for Maintaining Situation Awareness during Automated Driving ↗ · 2016 · Yamashita, Takaya et al. · indexed
361. Volume 1: Urban Driver Mental Frameworks and Implications · 2023 · Eluru, Naveen et al. · archived
362. User-Friendly Design of Human–machine Interaction of Driver Assistance Systems ↗ · 2026 · Bengler, Klaus et al. · indexed
363. Transformation of a mental model by presenting image recognition results to a driver ↗ · 2020 · INOUE, Koichiro et al. · indexed
364. Where to gaze during take-over: Eye gaze strategy analysis of different situation awareness and hazard perception levels ↗ · 2023 · Ding, Wen et al. · indexed
365. Driving Behavior during Function Limits of Driver Support Systems (Effects of Comprehension Level for Low-Speed Following System on Driving Behavior) ↗ · 2005 · MARUMO, Yoshitaka et al. · indexed
366. A study on the Effects of Providing Situation Awareness Information for the Control Authority Transition of Automated Vehicle ↗ · 2019 · Kim, HyunSuk et al. · indexed
367. Situation Awareness: Does it Change With Age? ↗ · 2001 · Bolstad, Cheryl Actor · indexed
368. Towards a Context-Dependent Multi-Buffer Driver Distraction Detection Algorithm · 2022 · Ahlstrom, Christer et al. · archived
369. Paying attention behind the wheel: a framework for studying the role of attention in driving ↗ · 2004 · Trick *, Lana M. et al. · indexed
370. Exploratory Development of Algorithms for Determining Driver Attention Status · 2024 · Herbers, Eileen et al. · archived
371. From Driver to Supervisor: Comparing Cognitive Load and EEG-Based Attentional Resource Allocation Across Automation Levels · 2023 · Figalova, Nikol et al. · archived
372. Training to Improve Drivers’ Behavior When Partial Driving Automation Fails · 2020 · Roberts, Shannon C et al. · archived
373. Driver behavior and mental workload for takeover safety in automated driving: ACT-R prediction modeling approach ↗ · 2024 · Oh, Hyungseok et al. · indexed
374. Consumer Knowledge of and Confusion with Driving Automation: Trends, Challenges and Implications ↗ · 2023 · Lee, Chaiwoo et al. · indexed
375. Coming back into the loop: Drivers’ perceptual-motor performance in critical events after automated driving · 2017 · Louw, Tyron et al. · archived
376. Human factors perspectives on highly automated driving · 2020 · Navarro, Jordan et al. · archived
377. Collective Driver Attention: Towards a Comprehensive Visual Understanding of Traffic Scenes ↗ · 2023 · Moradi, Morteza et al. · indexed
378. On the impact of on-road partially-automated driving on drivers’ cognitive workload and attention allocation ↗ · 2024 · Biondi, FN et al. · indexed
379. From Driver to Supervisor: Comparing Cognitive Load and EEG-based Attentional Resource Allocation across Automation Levels · 2023 · Figalova, Nikol et al. · archived
380. Development and evaluation of a human machine interface to support mode awareness in different automated driving modes · 2022 · Tinga, Angelica M. et al. · archived
381. Models of Human Decision-Making as Tools for Estimating and Optimizing Impacts of Vehicle Automation ↗ · 2018 · Markkula, Gustav et al. · indexed
382. Human-Vehicle Interaction to Support Driver's Situation Awareness in Automated Vehicles: A Systematic Review ↗ · 2023 · Capallera, Marine et al. · indexed
383. Modeling Drivers’ Lateral Motion Control · 2015 · Ni, Daiheng · archived
384. Toward More Realistic Driving Behavior Models for Autonomous Vehicles in Driving Simulators ↗ · 2003 · Al-Shihabi, Talal et al. · indexed
385. Watch Out for Explanations: Information Type and Error Type Affect Trust and Situational Awareness in Automated Vehicles ↗ · 2025 · Du, Na et al. · indexed
386. DRIVERS’ EYE GLANCE TRANSITIONS AND THE IMPLICATIONS ON THE MICROSCOPIC TRAFFIC AND ACCIDENT SIMULATION ↗ · 2017 · KIM, YEEUN et al. · indexed
387. Sharing Vehicle Situation Awareness Reduces Driver-Initiated Overrides in Urban Environments ↗ · 2023 · Lee, Joonbum et al. · indexed
388. Situation Awareness and Transitions in Highly Automated Driving: A Framework and Mini Review ↗ · 2017 · Son, Joonwoo et al. · indexed
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390. Drivers use active gaze to monitor waypoints during automated driving · 2021 · Mole, Callum et al. · archived
391. The influence of time-criticality on Situation Awareness when retrieving human control after automated driving ↗ · 2013 · van den Beukel, Arie Paul et al. · indexed
392. Predicting driver’s takeover time based on individual characteristics, external environment, and situation awareness ↗ · 2024 · Chen, Haolin et al. · indexed
393. Situated and sequential planning and prediction of human driving behavior as decision making support system · 2024 · Bejaoui, Abderahman et al. · archived
394. Exploring schema-driven differences in situation awareness between road users: an on-road study of driver, cyclist and motorcyclist situation awareness ↗ · 2014 · Salmon, Paul M. et al. · indexed
395. Towards Understanding Human-Technology Migration: Internal Interaction in Automated Road Vehicles · 2025 · Weiser, Paul et al. · archived
396. Driver Fitness in the Resumption of Control ↗ · 2020 · Kanaan, Dina et al. · indexed
397. A Bayesian Reference Model for Visual Time-Sharing Behaviour in Manual and Automated Naturalistic Driving ↗ · 2020 · Morando, Alberto et al. · indexed
398. Improving take-over quality in automated driving by interrupting non-driving tasks ↗ · 2019 · Köhn, Thomas et al. · indexed
399. Situation Awareness: Review of Mica Endsley's 1995 Articles on Situation Awareness Theory and Measurement ↗ · 2008 · Wickens, Christopher D. · indexed
400. Modeling Drivers’ Takeover Behavior Depending on the Criticality of Driving Situations and the Complexity of Secondary Tasks ↗ · 2019 · Tanshi, Foghor et al. · indexed
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402. Mental Models of Driver Monitoring Systems: Perceptions of Monitoring Capabilities in an Online, U.S.-based Sample ↗ · 2022 · Nees, Michael A. et al. · indexed
403. A multimodal driver monitoring benchmark dataset for driver modeling in assisted driving automation · 2024 · Nobari, Khazar Dargahi et al. · archived
404. Handbook of Human Factors for Automated, Connected, and Intelligent Vehicles ↗ · 2020 · Fisher, Donald L. et al. · indexed
405. Artificial Co-Drivers as a Universal Enabling Technology for Future Intelligent Vehicles and Transportation Systems · 2014 · Da Lio, Mauro et al. · archived
406. Attitudes of Person at Driver’s Seat of Level 3–4 Automated Vehicle Affect Human Driver Entering Roadway · 2025 · Saeki, Hidehiro et al. · archived
407. Secondary task and risky driving behavior: a test of the mediating effect of situation awareness ↗ · 2015 · Hartono, Budi et al. · indexed
408. Driver Engagement · 2023 · Deiana, Francesco et al. · archived
409. A dataset on the physiological state and behavior of drivers in conditionally automated driving ↗ · 2023 · Meteier, Quentin et al. · indexed
410. Survey and Synthesis of State of the Art in Driver Monitoring · 2021 · Halin, Anaïs et al. · archived
411. The Role of Physiological Monitoring in the Implementation of Vehicle Automation ↗ · 2015 · Whitmore, Antony et al. · indexed
412. A Review of Driver Mental Workload in Driver-Vehicle-Environment System · 2011 · Ba, Yutao et al. · archived
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416. Impact of Information on Consumer Understanding of a Partially Automated Driving System · 2020 · AAA Foundation for Traffic Safety · archived
417. Traffic Data Evaluation for Automated Driving Handover Scenarios ↗ · 2023 · Rykova, Eugenia et al. · indexed
418. Dangerous Slime: A Game for Improving Situation Awareness in Automated Driving ↗ · 2023 · Wu, Yue et al. · indexed
419. A Hidden Markov Framework to Capture Human–Machine Interaction in Automated Vehicles ↗ · 2019 · Janssen, Christian P. et al. · indexed
420. Driver State Monitoring Technology for Conditionally Automated Vehicles: Review and Future Prospects ↗ · 2023 · Qu, You et al. · indexed
421. Getting Back Into the Loop: The Perceptual-Motor Determinants of Successful Transitions out of Automated Driving · 2019 · Mole, Callum D. et al. · archived
422. Evaluation of Drivers’ Mental Model, Trust, and Reliance Toward Level 2 Automated Vehicles ↗ · 2024 · Zhang, Tingru et al. · indexed
423. User Education in Automated Driving: Owner’s Manual and Interactive Tutorial Support Mental Model Formation and Human-Automation Interaction · 2019 · Forster, Yannick et al. · archived
424. Identifying Modes of Intent from Driver Behaviors in Dynamic Environments · 2015 · Driggs-Campbell, Katherine et al. · archived
425. Metacognitive Strategy Training Improves Driving Situation Awareness ↗ · 2009 · Soliman, Abdrabo Moghazy et al. · indexed
426. Experienced drivers are quicker to achieve situation awareness than inexperienced drivers in situations of transfer of control within a Level 3 autonomous environment ↗ · 2016 · Wright, Timothy J. et al. · indexed
427. Assessing error recognition in automated driving ↗ · 2011 · Spiessl, W. et al. · indexed
428. Longer-term exposure vs training: Their effect on drivers' mental models of ADAS technology ↗ · 2022 · Carney, Cher et al. · indexed
429. Characterisation of mental models in a virtual reality-based multitasking scenario using measures of situation awareness ↗ · 2009 · Zhang, Tao et al. · indexed
430. Designing for Trust and Situational Awareness in Automated Vehicles: Effects of Information Type and Error Type ↗ · 2023 · Ding, Yaohan et al. · indexed
431. Driver Adaptation to Vehicle Automation: The Effect of Driver Assistance Systems on Driving Performance and System Monitoring · 2022 · Weaver, Starla et al. · archived
432. The effect of dual training on the hazard response and attention allocation of novice drivers ↗ · 2024 · Huang, Chunxi et al. · indexed
433. Individual driver safety awareness assessment using simulating experiment data ↗ · 2015 · Song, Gao et al. · indexed
434. Supporting Drivers of Partially Automated Cars through an Adaptive Digital In-Car Tutor · 2020 · Boelhouwer, Anika et al. · archived
435. What makes a good driver on public roads and race tracks? An interview study ↗ · 2021 · Doubek, Fabian et al. · indexed
436. Measuring driver awareness based on correlation between gaze behavior and risks of surrounding vehicles ↗ · 2012 · Mori, Masataka et al. · indexed
437. Recommendations Supporting Situation Awareness in Partially Automated Driver Assistance Systems ↗ · 2015 · Wulf, Felix et al. · indexed
438. Mental Workload, Longitudinal Driving Behavior, and Adequacy of Car-Following Models for Incidents in Other Driving Lane ↗ · 2010 · Hoogendoorn, Raymond et al. · indexed
439. Steering Mental Models During Drifting: Can Drivers Understand Automated Counter-Steering? ↗ · 2023 · Yasuda, Hiroshi et al. · indexed
440. Driver Vigilance Decrement is More Severe During Automated Driving than Manual Driving ↗ · 2022 · Greenlee, Eric T. et al. · indexed
441. Design for Perception - A Systematic Approach for the Design of Driving Automation Systems based on the Users’ Perception ↗ · 2022 · Novakazi, Fjollë et al. · indexed
442. Adaptations of drivers’ gaze behaviour during car-following as a function of vehicle automation, duration of use and prior driving experience · 2026 · Schnebelen, Damien et al. · archived
443. Designing transparency for automated driving: Effects of ambient light cues and explanations on driver performance · 2025 · Huang, Jingyu et al. · archived
444. Towards a Framework for Testing Drivers' Interaction with Partially Automated Driving ↗ · 2015 · Beukel, Arie P. van den et al. · indexed
445. Analysis of Driver Workload on Risk Perception in Non-Safety-Critical Situations with Partial Automation ↗ · 2025 · Nobari, Khazar Dargahi et al. · indexed
446. Sources of situation awareness errors in aviation. ↗ · 1996 · Jones, D.G. et al. · indexed
447. Safety Driver Attention on Autonomous Vehicle Operation Based on Head Pose and Vehicle Perception ↗ · 2024 · Konrad, Santiago Gerling et al. · indexed
448. High-speed highway scene prediction based on driver models learned from demonstrations ↗ · 2016 · Gonzalez, David Sierra et al. · indexed
449. Looking at Humans in the Age of Self-Driving and Highly Automated Vehicles ↗ · 2016 · Ohn-Bar, Eshed et al. · indexed
450. Innovative model for situation awareness in dynamic defense systems ↗ · 2018 · Endsley, Mica R. · indexed
451. Towards a complete human driver model: the effect of vision on driving performance ↗ · 2006 · Barton, J.E. et al. · indexed
452. How does training influence use and understanding of advanced vehicle technologies: a simulator evaluation of driver behavior and mental models · 2023 · Pradhan, Anuj et al. · archived
453. Modeling Driver Responses to Automation Failures With Active Inference ↗ · 2022 · Wei, Ran et al. · indexed
454. Adaptive behavioral planning for more social automated vehicles ↗ · 2021 · Noonan, T Zachary et al. · indexed
455. Out‐of‐the‐loop crash prediction: the automation expectation mismatch (AEM) algorithm ↗ · 2019 · Tivesten, Emma et al. · indexed
456. Distracted when Using Driving Automation: A Quantile Regression Analysis of Driver Glances Considering Task Type · 2022 · He, Dengbo et al. · archived
457. Supervising the self-driving car ↗ · 2019 · McKerral, Angus et al. · indexed
458. Pay attention, 007! how will future vehicle technology affect drivers of all skill levels? ↗ · 2020 · Young, Mark S. et al. · indexed
459. Supporting situation awareness in aviation systems ↗ · 2002 · Endsley, Mica R. · indexed
460. The distraction potential of driving a partially automated vehicle through a construction zone · 2025 · Biondi, F et al. · archived
461. A state of science on highly automated driving ↗ · 2018 · Navarro, Jordan · indexed
462. Situation awareness in eco-driving ↗ · 2015 · Thill, Serge et al. · indexed
463. The Dynamics of Attention Across Automated and Manual Driving Modes: A Driving Simulation Study ↗ · 2026 · Cai, Yuan et al. · indexed
464. CH-LSTTM: A Taxonomy of Traffic Hazards · 2024 · Yan, Song et al. · archived
465. Driver-Pedestrian Perceptual Models Demonstrate Coupling: Implications for Vehicle Automation ↗ · 2022 · Domeyer, Joshua E. et al. · indexed
466. Who is performing the driving tasks after interventions? Investigating drivers' understanding of mode transition logic in automated vehicles ↗ · 2024 · Kim, Soyeon et al. · indexed
467. Investigating the impact of static roadside advertising on drivers' situation awareness ↗ · 2017 · Young, Kristie L. et al. · indexed
468. Drivers anticipate lead-vehicle conflicts during automated longitudinal control: Sensory cues capture driver attention and promote appropriate and timely responses ↗ · 2016 · Morando, Alberto et al. · indexed
469. Human Factors Design of Automated Highway Systems: Scenario Definition · 1995 · NHTSA · archived
470. Interactive Traffic Management for Highly Automated Vehicles · 2023 · Alkim, Tom et al. · archived
471. From Manual Driving to Automated Driving · 2019 · Ayoub, Jackie et al. · archived
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473. Towards Autonomous Vehicles · 2013 · Schwarz, Chris et al. · archived
474. Eye-Gaze Analysis of HUD Interventions for Conditional Automation to Increase Situation Awareness ↗ · 2021 · Gerber, Michael A. et al. · indexed
475. Situation Awareness Is Adaptive, Externally Directed Consciousness ↗ · 1995 · Smith, Kip et al. · indexed
476. Identifying Scenarios in Field Data to Enable Validation of Highly Automated Driving Systems · 2022 · Reichenbächer, Christian et al. · archived
477. Effects of Human Understanding of Automation Abilities on Driver Performance and Acceptance of Lane Change Collision Avoidance Systems ↗ · 2019 · Muslim, Husam et al. · indexed
478. A model-based approach to probabilistic situation assessment for driver assistance systems ↗ · 2011 · Schamm, Thomas et al. · indexed
479. Research on Transparency Design Based on Shared Situation Awareness in Semi-Automatic Driving ↗ · 2022 · You, Fang et al. · indexed
480. Situation Awareness In Aviation Systems ↗ · 1999 · Endsley, Mica R. · indexed
481. Situation Awareness Fast-Tracking, Including Identifying Escape Routes (SAFER): Evaluation of the Impact of SAFER on Learner Driver Situation Awareness Skills ↗ · 2018 · Scott-Parker, Bridie et al. · indexed
482. Calibration of skill and judgment in driving: Development of a conceptual framework and the implications for road safety ↗ · 2015 · Horrey, William J. et al. · indexed
483. Driving in an Increasingly Automated World – Approaches to Improve the Driver-automation Interaction ↗ · 2015 · Stockert, Sonja et al. · indexed
484. Experience and Visual Attention in Driving ↗ · 2008 · Chapman, Peter et al. · indexed
485. Driver inattention and highway safety · 1985 · Sussman, E. D. et al. · archived
486. Driver Model Using Fuzzy Logic for Virtual Validation · 2024 · Lombera, Daniel Cisneros et al. · archived
487. Designing Visual Signals to Support Situation Awareness Recovery in Conditional Automated Driving ↗ · 2024 · Lee, Okkeun et al. · indexed
488. Modelling driver behaviour as a continuum between defensive and neutral states ↗ · 2026 · Al-Haideri, Rulla et al. · indexed
489. A risk field-based metric correlates with driver’s perceived risk in manual and automated driving: A test-track study · 2021 · Kolekar, Sarvesh et al. · archived
490. A Reference Model for Driver Attention in Automation: Glance Behavior Changes During Lateral and Longitudinal Assistance ↗ · 2019 · Morando, Alberto et al. · indexed
491. Lane Change Intention Awareness for Assisted and Automated Driving on Highways ↗ · 2019 · Rehder, Tobias et al. · indexed
492. Drivers of partially automated vehicles are blamed for crashes that they cannot reasonably avoid · 2022 · Abbink, David A. · archived
493. Drivers of partially automated vehicles are blamed for crashes that they cannot reasonably avoid · 2022 · Beckers, Niek et al. · archived
494. Highly Automated Driving on Highways Based on Legal Safety · 2013 · Vanholme, Benoit et al. · archived
495. A Microworld Approach to Identifying Issues of Human-Automation Systems Design for Supporting Operator's Situation Awareness ↗ · 2004 · Itoh, Makoto et al. · indexed
496. Mental Workload Modeling of Time-Critical Tasks in Autonomous Driving Based on a Multi-source Information Fusion Approach ↗ · 2022 · Ding, Yaonan et al. · indexed
497. Models of automation proportion in human-in-the-loop systems and operator situation awareness responses ↗ · 2025 · Liu, Y. et al. · indexed
498. Automotive UI for Controllability and Safe Transitions of Control ↗ · 2018 · Borojeni, Shadan Sadeghian et al. · indexed
499. Flow or Distraction? Exploring Multimodal Patterns of Driver States in Automated Driving ↗ · 2025 · Chen, Pei-Ru et al. · indexed
500. HumanFIRST Driving Simulation Educational Development · 2019 · Morris, Nichole L. et al. · archived
501. Modeling and Prediction of Human Driver Behavior: A Survey. · 2020 · Brown, Kyle et al. · archived
502. A Taxonomy of Strategies For Supporting Time-Sharing With Non-Driving Tasks in Automated Driving · 2019 · He, Dengbo et al. · archived
503. Is control necessary for drivers? Exploring the influence of human–machine collaboration modes on driving behavior and subjective perception under different hazard visibility scenarios ↗ · 2025 · Chen, Yongkang et al. · indexed
504. Framing automation of driving tasks: Effects on risk perception and consumers’ understanding of different levels of vehicle automation across four European countries ↗ · 2025 · Harms, Ilse M. et al. · indexed
505. Keynote address: On the use of communication-based cooperative systems to improve situation awareness ↗ · 2010 · Rakotonirainy, Andry · indexed
506. Exploring Factors Related to Drivers' Mental Model of and Trust in Advanced Driver Assistance System · 2024 · Huang, Chunxi et al. · archived
507. How Do Drivers Respond to Silent Automation Failures? Driving Simulator Study and Comparison of Computational Driver Braking Models · 2019 · Bianchi Piccinini, Giulio et al. · archived
508. Inferring Hidden Attentional States in Driving: A Bayesian Approach to Modeling Distraction and Secondary Task Engagement. ↗ · 2026 · Dheeraj Kashyap L et al. · indexed
509. Measuring and Predicting Drivers’ Takeover Readiness and Supporting Takeover Transitions in Automated Driving · 2023 · AAA Foundation for Traffic Safety · archived
510. Driver State Modeling through Latent Variable State Space Framework in the Wild · 2022 · Tavakoli, Arash et al. · archived
511. A Review of Near-Collision Driver Behavior Models · 2012 · Markkula, Gustav et al. · archived
512. Driver-initiated takeover as self-regulation: A video-based study of how drivers assess automated driving situations to determine intervention needs ↗ · 2026 · Shen, Su et al. · indexed
513. Driver's arousal and workload under partial vehicle automation · 2020 · Strayer, DL et al. · archived
514. Driver's arousal and workload under partial vehicle automation · 2020 · Cooper, JM et al. · archived
515. Modeling Mental Workload and Task Performance for Indirect Vision Driving ↗ · 2001 · Smyth, Christopher C. · indexed
516. Playing Games Guiding Attention Improves Situation Awareness and Takeover Quality during Automated Driving ↗ · 2023 · Jiang, Tingwei et al. · indexed
517. Reduced Attention Allocation during Short Periods of Partially Automated Driving: An Event-Related Potentials Study · 2017 · Solís-Marcos, Ignacio et al. · archived
518. Defining and Substantiating the Terms Scene, Situation, and Scenario for Automated Driving ↗ · 2015 · Ulbrich, Simon et al. · indexed
519. Situation awareness and automation: issues and design approaches ↗ · 1999 · Qureshi, Z. et al. · indexed
520. Characterizing the Effect of Mind Wandering on Braking Dynamics in Partially Autonomous Vehicles ↗ · 2024 · Sridhar, Harini et al. · indexed
521. Change in Mental Models of ADAS in Relation to Quantity and Quality of Exposure [Fact Sheet] · 2023 · NHTSA · archived
522. Shared intention and shared awareness for conditional automated driving: An online, randomized video experiment ↗ · 2024 · Swain, Ritwik et al. · indexed
523. Effects of Cognitive Distraction and Driving Environment Complexity on Adaptive Cruise Control Use and Its Impact on Driving Performance: A Simulator Study · 2025 · Halin, Anaïs et al. · archived
524. The Effects of Vehicle Automation on Driver Engagement: The Case of Adaptive Cruise Control and Mind Wandering [techbrief] · 2021 · Weaver, Starla et al. · archived
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526. Is Three a Crowd? How Compatible Is the Situation Awareness of Drivers, Motorcyclists and Cyclists? ↗ · 2018 · Salmon, Paul M. et al. · indexed
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528. Hazards associated with planned transitions in automated driving: A simulator study ↗ · 2022 · Hasegawa, Kunihiro et al. · indexed
529. Driver Training Research and Guidelines for Automated Vehicle Technology · 2019 · Manser, Michael P. et al. · archived
530. The Effect of Experience and Gender of Drivers' on Situation Awareness and Mental Workload ↗ · 2007 · Hao, Xueqin et al. · indexed
531. Measuring Driver Perception: Combining Eye-Tracking and Automated Road Scene Perception ↗ · 2020 · Stapel, Jork et al. · indexed
532. Modelling situation awareness relations in a multiagent system · 2015 · Blom, Henk A. P. et al. · archived
533. Single operator, multiple robots: An eye movement based theoretic model of operator situation awareness ↗ · 2010 · Ratwani, Raj M. et al. · indexed
534. A Systemic Model for Driver-in-Control ↗ · 2003 · Hollnagel, Erik et al. · indexed
535. Driver Distraction Assessment Using Driver Modeling ↗ · 2013 · Hermannstadter, Peter et al. · indexed
536. Advanced Driver Assistance Systems: Transparency and Driver Performance Effects ↗ · 2023 · Deng, Yulin et al. · indexed
537. Towards Interactive Driver Assistance System to Realize a Safe and an Efficient Driving ↗ · 2015 · Wang, Jiao et al. · indexed
538. Driver's gaze prediction in dynamic automotive scenes ↗ · 2017 · Schwehr, Julian et al. · indexed
539. Mode Errors and Intentional Violations in Visual Monitoring of Level 2 Driving Automation ↗ · 2020 · Boos, Annika et al. · indexed
540. The Effect of Partial Automation on Driver Attention: A Naturalistic Driving Study ↗ · 2019 · Gaspar, John et al. · indexed
541. Ambient Light Conveying Reliability Improves Drivers’ Takeover Performance without Increasing Mental Workload · 2022 · Figalová, Nikol et al. · archived
542. Using Markov Chains to Understand the Sequence of Drivers' Gaze Transitions During Lane-Changes in Automated Driving ↗ · 2019 · Gonçalves, Rafael et al. · indexed
543. Situation awareness: Valid or fallacious? · 2015 · Carsten, Oliver et al. · archived
544. Simulation of driver, vehicle and environmental aspects of crash initiation, a new method to improve integrated safety effectiveness ↗ · 2003 · Wood, R.L. et al. · indexed
545. A Taxonomy and Review of Algorithms for Modeling and Predicting Human Driver Behavior · 2025 · Bhattacharyya, Raunak et al. · archived
546. Drivers’ Response to Scenarios when Driving Connected and Automated Vehicles Compared to Vehicles with and without Driver Assist Technology · 2022 · Gouribhatla, Raghuveer et al. · archived
547. Are drivers aware of their behavior changes when using In-Vehicle systems ↗ · 2012 · Yang, Yan et al. · indexed
548. Evaluation of Autonomous Vehicles and Smart Technologies for Their Impact on Traffic Safety and Traffic Congestion · 2020 · Miles, James et al. · archived
549. Driver Distraction From a Control Theory Perspective ↗ · 2004 · Sheridan, Thomas B. · indexed
550. Compendium Of Human Factors Projects Supporting The Intelligent Vehicle Initiative · 1999 · NHTSA · archived
551. What Is Situation Awareness? ↗ · 2025 · Endsley, Mica R. et al. · indexed
552. The effect of cognitive tasks on predicting eventis in traffic ↗ · 2008 · Baumann, Michael R. et al. · indexed
553. Situation Awareness Sub-Dimensions and Task Domains Modulate the Correlation of Situation Awareness and Performance: A Three-Level Meta-Analysis ↗ · 2025 · Zhu, Pengye et al. · indexed
554. Haptic seat for automated driving ↗ · 2015 · Telpaz, Ariel et al. · indexed
555. Tesla Autopilot Through Constructions: Investigating the Effect of On-Road Partially-Automated Driving through Construction Zones · 2024 · Biondi, Francesco et al. · archived
556. It’s Good to Talk: Assessing Distributed Situation Awareness on the Road ↗ · 2018 · Salmon, Paul M. et al. · indexed
557. Comprehensibility and Perceptibility of Vehicle Pitch Motions as Feedback for the Driver During Partially Automated Driving ↗ · 2019 · Cramer, Stephanie et al. · indexed
558. Automobile Automation ↗ · 2017 · Banks, Victoria A. et al. · indexed
559. Toward an Integrated Model of Driver Behavior in Cognitive Architecture ↗ · 2001 · Salvucci, Dario D. et al. · indexed
560. Development of a Monitoring System for Driver Readiness in Prolonged Automated Driving · 2024 · Deb, Shuchisnigdha et al. · archived
561. Physiological Measures of Risk Perception in Highly Automated Driving · 2022 · Perello-March, Jaume R. et al. · archived
562. A Mental Model Perspective of a Driver Workload System ↗ · 2010 · Curry, Reates et al. · indexed
563. An Architecture for Situation-Aware Driver Assistance Systems ↗ · 2007 · Rockl, Matthias et al. · indexed
564. Metacognition and self‐regulation on the road: A qualitative approach to driver attention and distraction ↗ · 2022 · Love, Steven et al. · indexed
565. Automation and situation awareness. ↗ · 2018 · Endsley, Mica R. · indexed
566. Determining Key Parameters with Data-Assisted Analysis of Conditionally Automated Driving · 2023 · Gruden, Timotej et al. · archived
567. Challenges in Partially Automated Driving : A Human Factors Perspective ↗ · 2018 · Solís Marcos, Ignacio · indexed
568. Toward Computational Simulations of Behavior During Automated Driving Takeovers: A Review of the Empirical and Modeling Literatures · 2019 · McDonald, Anthony D. et al. · archived
569. Instrumented Vehicles and Driving Simulators · 2002 · Rizzo, M. et al. · archived
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571. Audiovisual messages may improve the processing of traffic information and driver attention during partially automated driving: An EEG study · 2024 · Pi-Ruano, Marina et al. · archived
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573. HammerDrive: A Task-Aware Driving Visual Attention Model ↗ · 2022 · Amadori, Pierluigi Vito et al. · indexed
574. Evaluation of Drivers’ Attention Level by a Driving Simulator ↗ · 2012 · Bartolozzi, Riccardo et al. · indexed
575. An Approach for the Selection and Description of Elements Used to Define Driving Scenarios · 2021 · Rao, Sughosh J. et al. · archived
576. AN INTELLIGENT CO-DRIVER SURVEILLANCE SYSTEM · 2017 · Rothkrantz, Léon et al. · archived
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578. Analysing and modelling train driver performance ↗ · 2005 · McLeod, Ronald W. et al. · indexed
579. Situation Awareness for Navigation Safety Control ↗ · 2018 · Smirnova, Oksana · indexed
580. Techniques for cognition of driving context for safe driving application ↗ · 2016 · Briochi, Giacomo et al. · indexed
581. Safety of the Intended Functionality of Lane-Centering and Lane-Changing Maneuvers of a Generic Level 3 Highway Chauffeur System · 2020 · Becker, Christopher et al. · archived
582. Towards hybrid driver state monitoring: Review, future perspectives and the role of consumer electronics · 2016 · Melnicuk, Vadim et al. · archived
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585. Koordination von Übernahmemanövern beim hochautomatisierten Fahren unter Berücksichtigung der Fahrerverfügbarkeit Coordination of Takeover Maneuvers in Highly Automated Driving Considering Driver Availability · 2021 · Albers, Franz et al. · archived
586. Inattention and Uncertainty in the Predictive Brain ↗ · 2021 · Kujala, Tuomo et al. · indexed
587. Modeling Driver Behavior during Automated Vehicle Platooning Failures · 2021 · McDonald, Anthony D et al. · archived
588. Gaze fixations and dynamics for behavior modeling and prediction of on-road driving maneuvers ↗ · 2017 · Martin, Sujitha et al. · indexed
589. Towards Driver Behavior Understanding: Weakly-Supervised Risk Perception in Driving Scenes · 2026 · Agarwal, Nakul et al. · archived
590. Effects of age and different road workload on driver's situation awareness ↗ · 2017 · Ou, Yang-Kun et al. · indexed
591. Key considerations in the development of driving automation systems ↗ · 2015 · Christensen, Andy et al. · indexed
592. Patterns of Sequential Off-Road Glances Indicate Levels of Distraction in Automated Driving ↗ · 2019 · Yang, Shiyan et al. · indexed
593. SPIDER ↗ · 2015 · Strayer, David L. et al. · indexed
594. The Effect of AR-HUD Takeover Assistance Types on Driver Situation Awareness in Highly Automated Driving: A 360-Degree Panorama Experiment ↗ · 2023 · Wu, Zhendong et al. · indexed
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596. Attention estimation by simultaneous observation of viewer and view ↗ · 2010 · Doshi, Anup et al. · indexed
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598. Naturalistic Study of Level 2 Driving Automation Functions · 2018 · Russell, Sheldon M. et al. · archived
599. Vehicle Automation Field Test: Impact on Driver Behavior and Trust · 2020 · Morales-Alvarez, Walter et al. · archived
600. Incorporating different phases of situation awareness information into the design of advanced takeover requests for urgent takeover scenarios ↗ · 2026 · Lai, Hsueh-Yi et al. · indexed
601. Antecedents and outcome of situation awareness: a meta-analysis of presence and effect size ↗ · 2026 · Yuan, Xiaofang et al. · indexed
602. Assessing Drivers' Mental Model Of Advanced Driver Assistance Systems Using Signal Detection Theory · 2023 · Huang, Chunxi et al. · archived
603. How Do Drivers Perceive Risks During Automated Driving Scenarios? An fNIRS Neuroimaging Study · 2023 · Perello-March, Jaume et al. · archived
604. The Driver Model with the Consideration of Driving Skill ↗ · 2019 · Ren, Yuan-Yuan et al. · indexed
605. Correlation between subjective driver state measures and psychophysiological and vehicular data in simulated driving ↗ · 2016 · Schmidt, Elisabeth et al. · indexed
606. Effects of Semantic Segmentation Visualization on Trust, Situation Awareness, and Cognitive Load in Highly Automated Vehicles ↗ · 2021 · Colley, Mark et al. · indexed
607. Influence of Foggy Weather on Drivers’ Situation Awareness in the Takeover Process of Level 3 Automated Vehicles: A Functional Magnetic Resonance Imaging Study ↗ · 2025 · Lin, Zijian et al. · indexed
608. Supporting Situational Awareness in VANET Attack Scenarios · 2022 · Almani, Dimah et al. · archived
609. A Human Factors Approach to Validating Driver Models for Interaction-aware Automated Vehicles · 2022 · Siebinga, Olger et al. · archived
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611. A User-Centered Approach to Adapt the Human-Machine Cooperation Strategy in Autonomous Driving · 2021 · Coeugnet, Stéphanie et al. · archived
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613. Influence of Information about Minimal Risk Maneuvers on Driver Behavior during Conditional Driving Automation ↗ · 2022 · Ichinose, Yusaku et al. · indexed
614. Integrated driver modelling considering state transition feature for individual adaptation of driver assistance systems ↗ · 2010 · Raksincharoensak, Pongsathorn et al. · indexed
615. Modeling Driver-Initiated Intervention in Automated Driving: A Dual-Stage Progressive Intention-to-Action Prediction Framework ↗ · 2026 · Tang, Tianxiang et al. · indexed
616. Contrasting models of driver behaviour in emergencies using retrospective verbalisations and network analysis ↗ · 2015 · Banks, Victoria A. et al. · indexed
617. Understanding Driver Cognition and Decision-Making Behaviors in High-Risk Scenarios: A Drift Diffusion Perspective · 2025 · Huang, Heye et al. · archived
618. Thinking Ahead of the Tractor: Driver Safety and Situation Awareness ↗ · 2019 · Irwin, Amy et al. · indexed
619. Modeling Driver Behavior and Aggressiveness Using Biobehavioral Methods - Phase I · 2018 · Kondyli, Alexandra et al. · archived
620. Identifying Mind-wandering behind the Wheel · 2009 · He, Jibo et al. · archived
621. Modeling of individualized cognitive driving supervision for intelligent vehicles ↗ · 2012 · Fu, Xingguang et al. · indexed
622. Situational Hazard Recognition and Risk Assessment Within Safety-Driven Behavior Management in the Context of Automated Driving ↗ · 2020 · Hagele, Georg et al. · indexed
623. Attentional warnings caused by driver monitoring systems: How often do they appear and how well are they understood? ↗ · 2024 · Forster, Yannick et al. · indexed
624. Assessing Energy-Related Situation Awareness Using Self-Controlled Occlusion During Electric Vehicle Driving Scenes · 2024 · Gödker, Markus et al. · archived
625. Computational Models for In-Vehicle User Interface Design: A Systematic Literature Review · 2024 · Lorenz, Martin et al. · archived
626. The Effects of Transparency and Reliability of In-Vehicle Intelligent Agents on Driver Perception, Takeover Performance, Workload and Situation Awareness in Conditionally Automated Vehicles ↗ · 2022 · Zang, Jing et al. · indexed
627. 5. Probabilistic driver modeling ↗ · 2017 · Driggs-Campbell, Katherine et al. · indexed
628. Modeling Driver Behavior and Aggressiveness Using Biobehavioral Methods – Phase II · 2020 · Kondyli, Alexandra et al. · archived
629. Inferring Hidden Attentional States in Driving: A Bayesian Approach to Modeling Distraction and Secondary Task Engagement ↗ · 2025 · Kashyap, Lekhapriya Dheeraj et al. · indexed
630. Automated Driving: A Literature Review of the Take over Request in Conditional Automation · 2020 · Morales-Alvarez, Walter et al. · archived
631. Modeling Traffic Accidents Caused by Random Misperception ↗ · 2018 · Berkhahn, Volker et al. · indexed
632. The Impact of Explanation on Possibility of Hazard Detection Failure on Driver Intervention under Partial Driving Automation ↗ · 2018 · Liu, Tianwei et al. · indexed
633. Recent Trends in Driver Safety Monitoring Systems: State of the Art and Challenges ↗ · 2017 · Koesdwiady, Arief et al. · indexed
634. A merging interaction model explains human drivers' behaviour from input signals to decisions · 2023 · Abbink, David A. · archived
635. Design of Conditional Driving Automation Variables to Improve Takeover Performance ↗ · 2019 · Tanshi, Foghor et al. · indexed
636. Automotive automation: effects, problems and implications for driver mental workload ↗ · 2017 · Young, Mark S. et al. · indexed
637. Artificial Intelligence Rationale for Autonomous Vehicle Agents Behaviour in Driving Simulation Environment · 2008 · Charissis, Vassilis et al. · archived
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642. Modeling Driver Behavior and Aggressiveness Using Biobehavioral Methods –Phase III · 2022 · Kondyli, Alexandra et al. · archived
643. Conveying Uncertainties Using Peripheral Awareness Displays in the Context of Automated Driving ↗ · 2019 · Kunze, Alexander et al. · indexed
644. Effect of Takeover Guidance and Surrounding Traffic Information Affect Takeover Performance in Conditional Driving Automation · 2024 · An, Suyang et al. · archived
645. How Does Explanation-Based Knowledge Influence Driver Take-Over in Conditional Driving Automation? ↗ · 2021 · Zhou, Huiping et al. · indexed
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649. Hierarchical Task Analysis for Driving under Divided Attention ↗ · 2019 · Yang, Xiaonan et al. · indexed
650. Unveiling Driver Workload Dynamics and Road Safety Risks in Assistant and Automated Driving Systems ↗ · 2026 · Bosurgi, Gaetano et al. · indexed
651. Influence of Surrounding Traffic and System Behaviors on Driver-Initiated Automation Disengagements in Urban Overtaking Scenarios ↗ · 2025 · Muslim, Husam et al. · indexed
652. Enhancing safety in conditionally automated driving: Can more takeover request visual information make a difference in hazard scenarios with varied hazard visibility? ↗ · 2024 · Huang, Wei-Chi et al. · indexed
653. The implication of non-driving activities on situation awareness and take-over performance in level 3 automation ↗ · 2020 · Yang, Lichao et al. · indexed
654. Toward Computational Simulations of Behavior During Automated Driving Takeovers: A Review of the Empirical and Modeling Literatures · 2019 · McDonald, Anthony D et al. · archived
655. A legal safety concept for highly automated driving on highways · 2011 · Vanholme, Benoit et al. · archived
656. The Rolling Robot and the Human Brain: Handover of the Driving Task in Automated Vehicles · 2024 · Roessger, Peter et al. · archived
657. Displaying System Situation Awareness Increases Driver Trust in Automated Driving ↗ · 2017 · Sonoda, Kohei et al. · indexed
658. Attention Management in Highly Autonomous Driving ↗ · 2019 · Baldwin, Carryl L. et al. · indexed
659. Validation of a driving simulator for research into human factors issues of automated vehicles · 2019 · Tomasevic, Nebojsa et al. · archived
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661. Threat-cued or action-cued? Effects of attention guidance strategy on decision-support in automated driving under complex takeover situations ↗ · 2026 · Dou, Jinzhen et al. · indexed
662. Driver’s Arousal and Workload under Partial Vehicle Automation · 2020 · AAA Foundation for Traffic Safety · archived
663. 2018 Forum on the Impact of Vehicle Technologies and Automation on Vulnerable Road Users and Driver Behavior and Performance: A Summary Report · 2019 · AAA Foundation for Traffic Safety · archived
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665. A Framework for Representing Driving Knowledge ↗ · 1999 · Bellet, Thierry et al. · indexed
666. Guiding Driver Responses During Manual Takeovers from Automated Vehicles · 2023 · Greatbatch, Richard et al. · archived
667. Driving Hazard Perception Components: A Systematic Review and Meta-Analysis. · 2023 · Habibzadeh, Yasaman et al. · archived
668. Towards the Unified Principles for Level 5 Autonomous Vehicles · 2021 · Wang, Jianqiang et al. · archived
669. MIT Advanced Vehicle Technology Study: Large-Scale Naturalistic Driving Study of Driver Behavior and Interaction With Automation · 2019 · Fridman, Lex et al. · archived
670. Driver Readiness Model for Regulating the Transfer from Automation to Human Control ↗ · 2017 · Mioch, Tina et al. · indexed
671. Mental workload and driving · 2014 · Paxion, Julie et al. · archived
672. Situation Awareness for Driver-Centric Driving Style Adaptation · 2024 · Haselberger, Johann et al. · archived
673. Driver Hazard Detection and Avoidance Performance as a Function of Eyes-Off-Road Interval Under Partially Automated Driving ↗ · 2017 · Glaser, Yi et al. · indexed
674. Safety Concept for Autonomous Vehicles · 2016 · Reschka, Andreas · archived
675. Linking Behaviour and Perception to Evaluate Meaningful Human Control over Partially Automated Driving · 2026 · George, Ashwin et al. · archived
676. Assessment of the SEEV Model to Predict Attention Allocation at Intersections During Simulated Driving ↗ · 2013 · Cassavaugh, Nicholas D et al. · indexed
677. VALIDATION OF AN ATTENTION-BASED MODEL OF DRIVER PERFORMANCE IN REAR- END COLLISION SITUATIONS ↗ · 2001 · Brown, Timothy L. et al. · indexed
678. Drivers’ Attention to Dash-based Human-Machine Interfaces: The Effect of Partial Automation and Cognitive Load ↗ · 2025 · Qin, Hao et al. · indexed
679. Towards a driver supervision and assistance system: intention detecting and option providing ↗ · 2014 · Wang, Jiao et al. · indexed
680. Study on Intelligent Vehicle Control Considering Driver Perception of Driving Environment ↗ · 1999 · Takahashi, Hiroshi et al. · indexed
681. Drivers and automation: a systematic review on road suitability for assisted and partially/conditionally automated vehicles ↗ · 2026 · Karimi, Arastoo et al. · indexed
682. Driver's Interactions with Advanced Vehicles in Various Traffic Mixes and Flows (Connected and Autonomous Vehicles (CAVs), Electric Vehicles (EVs), V2X, Trucks, Bicycles and Pedestrians) - Phase I: Driver Behavior Study and Parameters Estimation · 2020 · Jeihani, Mansoureh et al. · archived
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684. Contributing Factors for Mode Awareness of a Vehicle with a Low-Speed Range and a High-Speed Range Acc Systems ↗ · 2005 · Itoh, Makoto et al. · indexed
685. Considering knowledge gaps for automated driving in conventional traffic ↗ · 2016 · G, AROEN M et al. · indexed
686. Human-centric analysis of driver inattention ↗ · 2013 · Taib, Ronnie et al. · indexed
687. How do obstacle characteristics and driver alertness affect the takeover process in conditionally automated driving? ↗ · 2025 · Li, Penghui et al. · indexed
688. Human Factors of Driving Automation: Evasive Maneuver Event Response Evaluation · 2023 · Britten, Nicholas N et al. · archived
689. Driver Visual Attention Before and After Take-Over Requests During Automated Driving on Public Roads ↗ · 2022 · Pipkorn, Linda et al. · indexed
690. Analyzing driver gaze behavior and consistency of decision making during automated driving ↗ · 2015 · Miyajima, Chiyomi et al. · indexed
691. Proving ground evaluation of enhanced ADAS: context understanding ADAS · 2023 · Rizgary, Daban et al. · archived
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693. Impacts of In-vehicle Alert Systems on Situational Awareness and Driving Performance in SAE Level 3 Vehicle Automation ↗ · 2022 · Souders, Dustin et al. · indexed
694. Human-like driving behaviour emerges from a risk-based driver model · 2020 · Kolekar, Sarvesh et al. · archived
695. Driver Vigilance in Automated Vehicles: Hazard Detection Failures Are a Matter of Time ↗ · 2018 · Greenlee, Eric T. et al. · indexed
696. Autopilot, Mind Wandering, and the Out of the Loop Performance Problem · 2017 · Gouraud, Jonas et al. · archived
697. An Approach to Transfer of Control Between Automated Vehicle and Driver · 2026 · Dubovsky, V. et al. · archived
698. Effect of Alert Presentation Mode and Hazard Direction on Driver Takeover from an Autonomous Vehicle ↗ · 2019 · Cortens, Benjamin et al. · indexed
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700. Good driving skills: implications for assessment and training ↗ · 1997 · Ranney, Thomas A. · indexed
701. Traffic Dynamics at Intersections Subject to Random Misperception ↗ · 2022 · Berkhahn, Volker et al. · indexed
702. Designing for Situation Awareness: An Approach to User-Centered Design · 2003 · Endsley, Mica R. et al. · archived
703. Towards a social psychology-based microscopic model of driver behavior and decision-making : modifying Lewin's field theory · 2014 · Berthaume, Andrew Leo et al. · archived
704. When Takeovers Require Cognitive Control: Effects of Partial Automation and Cognitive Load on Driver-Initiated Responses to Traffic Hazards on Urban Roads ↗ · 2026 · Qin, Hao et al. · indexed
705. Which accuracy levels of positioning technologies do drivers really need in connected vehicle settings for safety? · 2021 · Du, Na et al. · archived
706. Categorisation of driving scenario complexity based on primary driving tasks and road characteristics ↗ · 2018 · Galarza, Miguel Angel et al. · indexed
707. Distributed Situation Awareness in Road Transport ↗ · 2018 · Salmon, Paul M. et al. · indexed
708. The ironies of vehicle feedback in car design ↗ · 2006 · Walker, Guy H. et al. · indexed
709. Adaptive driver assistance system based on Traffic Information Saliency Map ↗ · 2016 · Kim, Jihun et al. · indexed
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711. Hazard perception in driving style based on virtual reality technology ↗ · 2022 · He, Wu et al. · indexed
712. Novel Auditory Displays in Highly Automated Vehicles: Sonification Improves Driver Situation Awareness, Perceived Workload, and Overall Experience · 2021 · Nadri, Chihab et al. · archived
713. Modelling Human Driver Performance for Safety Assessment of Road Vehicle Automation ↗ · 2018 · Roesener, Christian et al. · indexed
714. Quantitative Evaluation of Attention to the Driving Environment During Automated Driving at Levels 3 using ERP: Evaluation of Psychophysiological State of Driver ↗ · 2018 · Murase, Tomohiro et al. · indexed
715. Autonomous Driving - 5 Years after the Urban Challenge: The Anticipatory Vehicle as a Cyber-Physical System · 2014 · Berger, Christian et al. · archived
716. Modeling driver control behavior in both routine and near-accident driving · 2014 · Markkula, Gustav · archived
717. Intelligent Monitoring and Adaptive Competence Assignment for Driver and Vehicle ↗ · 2007 · Mueller, Fabian et al. · indexed
718. Continuous-time feedback device to enhance situation awareness during take-over requests in automated driving conditions ↗ · 2022 · Gomes, Guilherme Daniel et al. · indexed
719. Human Factors Issues Associated with Limited Ability Autonomous Driving Systems: Drivers’ Allocation of Visual Attention to the Forward Roadway ↗ · 2013 · Llaneras, Robert E. et al. · indexed
720. Effect of System Capability Verification on Conflict, Trust, and Behavior in Automated Vehicles · 2022 · Woide, Marcel et al. · archived
721. Safety-centred analysis of transition stages to traffic with fully autonomous vehicles ↗ · 2020 · Andreotti, Eleonora et al. · indexed
722. Evaluation of the human interaction with automated vehicles on highways · 2025 · Chand, Cadell et al. · archived
723. Analysis of a driver and automated driving system interaction using a communicating sequential process ↗ · 2015 · Kinoshita, Satoko et al. · indexed
724. Somatic Situation Awareness: A model for SA acquisition under imminent threat and severe time stress ↗ · 2011 · Rahman, Moin · indexed
725. Partially Automated Vehicle Simulation for Studying Driver Distraction in Real Scenarios ↗ · 2024 · Bendahmane, Mohammed et al. · indexed
726. Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles ↗ · 2018 · On-Road Automated Driving (ORAD) Committee · indexed
727. Modeling the situation awareness by the analysis of cognitive process ↗ · 2014 · Liu, Shuang et al. · indexed
728. Impact of VR headset-based training on drivers’ hazard avoidance and mental models when driving with ADAS ↗ · 2026 · Pai, Ganesh et al. · indexed
729. A model of dyadic merging interactions explains human drivers’ behavior from control inputs to decisions · 2024 · Abbink, David A. · archived
730. Highly automated vehicle safety driver monitoring support through Bayesian MCMC Logistic Regression ↗ · 2021 · Corcoran, Nicole M et al. · indexed
731. An Investigation of Drivers' Dynamic Situational Trust in Conditionally Automated Driving · 2021 · Ayoub, Jackie et al. · archived
732. Looking-In and Looking-Out of a Vehicle: Computer-Vision-Based Enhanced Vehicle Safety ↗ · 2007 · Trivedi, Mohan Manubhai et al. · indexed
733. Evaluating Driver Features for Cognitive Distraction Detection and Validation in Manual and Level 2 Automated Driving ↗ · 2020 · Yang, Shiyan et al. · indexed
734. A review of human sensory dynamics for application to models of driver steering and speed control ↗ · 2016 · Nash, Christopher J. et al. · indexed
735. Effects of automation trust in drivers’ visual distraction during automation · 2021 · Zhang, Yijing et al. · archived
736. What can we learn from Automated Vehicle collisions? A deductive thematic analysis of five Automated Vehicle collisions ↗ · 2021 · Merriman, Siobhan E. et al. · indexed
737. Is the automated vehicle “aware” of the pedestrian? Examining driving behavior adaptation as a cue to inform the passenger of a potential hazard ↗ · 2022 · Stange, Vanessa et al. · indexed
738. Validating human driver models for interaction-aware automated vehicle controllers: A human factors approach. · 2021 · Abbink, David A. · archived
739. What happens when drivers face hazards on the road? ↗ · 2016 · Ventsislavova, Petya et al. · indexed
740. Optical Information for Car Following: The Driving by Visual Angle (DVA) Model ↗ · 2007 · Andersen, George J. et al. · indexed
741. The measurement of drivers' mental workload ↗ · 1996 · de Waard, Dick · indexed
742. Assessing Training Methods for Advanced Driver Assistance Systems and Autonomous Vehicle Functions: Impact on User Mental Models and Performance · 2024 · Murtaza, Mohsin et al. · archived
743. How Do Automation Modes Influence the Frequency of Advanced Driver Distraction Warnings? A Simulator Study ↗ · 2023 · Koniakowsky, Ina Marie et al. · indexed
744. Effect of instructing system limitations on the intervening behavior of drivers in partial driving automation · 2019 · Zhou, H. P. et al. · archived
745. Teen Driving Risk in the Presence of Passengers ↗ · 2016 · Horrey, William J. et al. · indexed
746. ARe you watching the road? Comparing Gaze Behaviour and Hazard Prediction between Heads-Up and Heads-Down NDRT Presentation in Augmented Reality ↗ · 2026 · Goodge, Thomas et al. · indexed
747. Forecasting Markers of Habitual Driving Behaviors Associated With Crash Risk ↗ · 2020 · Panagopoulos, George et al. · indexed
748. Psychological elements in car-following models: Mental workload in case of incidents in the other driving lane ↗ · 2010 · Hoogendoorn, Raymond et al. · indexed
749. Task Interruption and Control Recovery Strategies After Take-Over Requests Emphasize Need for Measures of Situation Awareness ↗ · 2020 · Vogelpohl, Tobias et al. · indexed
750. Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles ↗ · 2016 · On-Road Automated Driving (ORAD) Committee · indexed
751. Mind-Wandering Tends to Occur under Low Perceptual Demands during Driving · 2016 · Lin, Chin-Teng et al. · archived
752. Driver behavior in traffic. · 2012 · Abbas, Montasir et al. · archived
753. Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles ↗ · 2021 · On-Road Automated Driving (ORAD) Committee · indexed
754. Knowing What You Know ↗ · 2011 · Sethumadhavan, Arathi · indexed
755. Prevention of road accidents in non-expert drivers: Theory of Mind and driving style · 2024 · Nori, Raffaella et al. · archived
756. Driver Behavior in an Emergency Situation in the Automated Highway System ↗ · 1999 · de Waard, Dick et al. · indexed
757. Drivers’ Reaction Time and Mental Workload: A Driving Simulation Study · 2023 · Pouliou, Anna et al. · archived
758. Equilibrium of Control in Automated Vehicles: Driver Engagement Level and Automation Capability Levels ↗ · 2022 · Degani, Asaf et al. · indexed
759. Driver State Monitoring for Decreased Fitness to Drive ↗ · 2020 · Lenné, Michael G. et al. · indexed
760. Human–Vehicle Cooperation in Automated Driving: A Multidisciplinary Review and Appraisal ↗ · 2019 · Biondi, Francesco et al. · indexed
761. SURVIVAL OF DEVIANCE. A MODEL FOR DRIVER BEHAVIOUR. FINAL REPORT ↗ · 2003 · Vaa, T · indexed
762. HEDGEHOG: A Steering Wheel Prototype to Continuously Enhance Driver's Situation Awareness During Conditional Vehicle Automation ↗ · 2022 · Gomes, Guilherme Daniel et al. · indexed
763. From Route-Level Driving Familiarity to Scenario- and Individual-Level Diversity: A Preliminary Human Gaze Study in Simulated Driving ↗ · 2025 · Liu, Haoji et al. · indexed
764. Examining the Role of Driver Perception in Takeover Time: Application of Task-Capability Interface Theory ↗ · 2024 · Liang, Kexin et al. · indexed
765. Drivers’ engagement in NDRTs during automated driving linked to travelling speed and surrounding traffic · 2023 · Liu, Xian et al. · archived
766. The Effects of Using a Virtual Agent to Signal Danger on Hazard Prediction Ability in Conditionally Automated Driving ↗ · 2026 · Goodge, Thomas et al. · indexed
767. Automatic Inference of Driving Task Demand from Visual Cues of Emotion and Attention ↗ · 2022 · Soro, Alessandro et al. · indexed
768. The effect of situation awareness on driving performance in young sleep-deprived drivers ↗ · 2021 · Wijayanto, Titis et al. · indexed
769. Driver Takeover Performance and Monitoring Behavior with Driving Automation at System-Limit versus System-Malfunction Failures · 2020 · DeGuzman, Chelsea A. et al. · archived
770. Comparison of Visual Sampling Patterns Under Simulated L2 and L0 Systems ↗ · 2018 · Hatfield, Nathan et al. · indexed
771. Task-Difficulty Homeostasis in Car Following Models: Experimental Validation Using Self-Paced Visual Occlusion · 2017 · Pekkanen, Jami et al. · archived
772. Where drivers are looking at during takeover: Implications for safe takeovers during conditionally automated driving ↗ · 2023 · Huang, Chao et al. · indexed
773. Cost of warning of unseen threats: Unintended consequences of connected vehicle alerts ↗ · 2015 · Chrysler, ST et al. · indexed
774. Visual context capture and analysis for driver attention monitoring ↗ · 2005 · McCall, J.C. et al. · indexed
775. Vehicle automation and driving performance ↗ · 1998 · STANTON, N. A. et al. · indexed
776. Visual exploration strategies of experienced and non-experienced drivers during the takeover of an automated vehicle ↗ · 2026 · Maëlle, Pelerin et al. · indexed
777. Human Impact of Visual Detail in Vehicle Lane-Keeping System Communication ↗ · 2025 · Lee, Yu Chul et al. · indexed
778. Edge computing for situational awareness ↗ · 2017 · Satyanarayanan, Mahadev · indexed
779. The effect of a secondary task on drivers’ gap acceptance and situational awareness at junctions ↗ · 2021 · Robbins, Chloe J. et al. · indexed
780. Method for Incorporating Awareness Mechanisms in Driving Simulation Environments ↗ · 2014 · Alcazar, Hector et al. · indexed
781. Attentional differences in driving judgments for country and city scenes: Semantic congruency in inattentional blindness ↗ · 2013 · Pammer, Kristen et al. · indexed
782. Toward Situation Awareness-Supportive In-Vehicle Agent Design for Collaborative Driving: Effects of Transparency and Visual Representation ↗ · 2026 · Lim, Yeonsu et al. · indexed
783. A Literature Review of Performance Metrics of Automated Driving Systems for On-Road Vehicles · 2021 · Sharath, Mysore Narasimhamurthy et al. · archived
784. Human online reliability estimation applied to real driving maneuvers · 2020 · He, Chao et al. · archived
785. How can humans understand their automated cars? HMI principles, problems and solutions ↗ · 2018 · Carsten, Oliver et al. · indexed
786. Evaluation of Visual Risk Perception of Automated Driving Tasks by Analyzing Gaze Pattern Dispersion ↗ · 2024 · Liu, Chao et al. · indexed
787. Beyond adaptive cruise control and lane centering control: drivers' mental model of and trust in emergency lane keeping · 2023 · Huang, Chunxi et al. · archived
788. Driving with and without automation on the motorway – an observational study ↗ · 2020 · Várhelyi, András et al. · indexed
789. Situation assessment and behavior decision for vehicle/driver cooperative driving in highway environments ↗ · 2015 · Noh, Samyeul et al. · indexed
790. Automated Vehicle Driver Monitoring Dataset from Real-World Scenarios · 2024 · Sabry, Mohamed et al. · archived
791. Operator's situation awareness under different levels of automation; evaluations through probabilistic human cognitive simulations ↗ · 2002 · Furukawa, H. et al. · indexed
792. Predicting Situation Awareness From Physiological Signals ↗ · 2026 · Smith, Kieran J. et al. · indexed
793. Long-Term Evolution of Driver Visual Attention during Automated Driving in Real-Traffic: Investigating the Influence of Mental Model and Dynamic Learned Trust ↗ · 2025 · Seupke, Stephanie et al. · indexed
794. Context-Aware Quantitative Risk Assessment Machine Learning Model for Drivers Distraction · 2024 · Fasanmade, Adebamigbe et al. · archived
795. Modelling communication-enabled traffic interactions · 2023 · Siebinga, Olger et al. · archived
796. “I will raise my hand and say ‘I over-trust Autopilot’. I use it too liberally” – Drivers’ reflections on their use of partial driving automation, trust, and perceived safety ↗ · 2024 · Nordhoff, Sina et al. · indexed
797. Objective assessment of trait attentional control predicts driver response to emergency failures of vehicular automation ↗ · 2022 · Seet, Manuel et al. · indexed
798. The Effects of Continuous Driving-Related Feedback on Drivers’ Response to Automation Failures ↗ · 2017 · Cohen-Lazry, Guy et al. · indexed
799. Effects of Conversation on Situation Awareness and Working Memory in Simulated Driving ↗ · 2014 · Heenan, Adam et al. · indexed
800. Impacts of risk perceptions on driver responses in assisted driving scenarios: a moderated mediation model ↗ · 2026 · Liu, Yang et al. · indexed
801. The Driving Safety Field Based on Driver–Vehicle–Road Interactions ↗ · 2015 · Wang, Jianqiang et al. · indexed
802. A Theory of Situation Assessment: Implications for Measuring Situation Awareness ↗ · 1988 · Fracker, Martin L. · indexed
803. Driving-related factors affecting mind-wandering behind the wheel: a systematic review ↗ · 2025 · Traficante, Sergio et al. · indexed
804. Cognitive simulation of driver and cooperative driving assistance ↗ · 2003 · Mayenobe, P. et al. · indexed
805. Fatigue and mental underload further pronounced in L3 conditionally automated driving: Results from an EEG experiment on a test track · 2024 · Figalova, Nikol et al. · archived
806. Driving with Automation: The Impacts on Road Safety and Driving Comfort Moderated by Multiple Factors in Hazardous Scenarios ↗ · 2024 · Su, Yizi et al. · indexed
807. Information Requirements for Traffic Awareness in a Free-Flight Environment: An Application of the FAIT Analysis · 2003 · Uhlarik, John et al. · archived
808. Towards real-time recognition of driver intentions ↗ · 2002 · Liu, A. et al. · indexed
809. Vertical situation awareness and pilot performance ↗ · 2002 · McCrobie, D. et al. · indexed
810. Driver Training for Automated Vehicle Technology – Knowledge, Behaviors, and Perceived Familiarity ↗ · 2019 · Noble, Alexandria M. et al. · indexed
811. Direct Measurement of Situation Awareness: Validity and Use of SAGAT · 2017 · Endsley, Mica R. · archived
812. Novel Vehicle Motion Model considering Driver Behavior for Trajectory Prediction and Driving Risk Detection ↗ · 2014 · Peng, Liqun et al. · indexed
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814. Augmented Reality Guidance for Control Transitions in Automated Driving ↗ · 2018 · Eriksson, Alexander et al. · indexed
815. Active inference as a model of collision avoidance behavior in human drivers. · 2026 · Schumann, JF et al. · archived
816. Supporting Users' Understanding of Driving Automation Systems: The Effect of Meaningful System Names and Responsibility-Focused Textual Reminders ↗ · 2025 · Czupi, Emma et al. · indexed
817. Assessing the Safety Impacts of Cooperative Awareness for Automated Driving ↗ · 2025 · Sonntag, Marcel et al. · indexed
818. Effects of Vehicle Simulation Visual Fidelity on Assessing Driver Performance and Behavior ↗ · 2019 · Merenda, Coleman et al. · indexed
819. The psychology of driving automation: a discussion with Professor Don Norman ↗ · 2007 · Stanton, Neville A. et al. · indexed
820. From prediction to prevention: safety modeling of driver takeover time with mental workload, risk perception, and driving style in ramp scenarios ↗ · 2026 · Shao, Yichang et al. · indexed
821. Incorporating Gaze Behavior Using Joint Embedding With Scene Context for Driver Takeover Detection ↗ · 2022 · Qiu, Yuning et al. · indexed
822. Toward Integrated Automation Status and Alerting Display Management Systems for Vehicles ↗ · 2022 · Moertl, Peter et al. · indexed
823. Driver Vigilance State Estimation Based on Multisource Data ↗ · 2023 · Guo, Zizheng et al. · indexed
824. Latent Hazard Notification for Highly Automated Driving: Expected Safety Benefits and Driver Behavioral Adaptation ↗ · 2023 · Li, Qingkun et al. · indexed
825. Multitasking While Driving: Central Bottleneck or Problem State Interference? ↗ · 2022 · Held, Moritz et al. · indexed
826. Eye-based driver state monitor of distraction, drowsiness, and cognitive load for transitions of control in automated driving ↗ · 2016 · Cabrall, Christopher et al. · indexed
827. Situation Awareness and Workload in Aviation ↗ · 2002 · Wickens, Christopher D. · indexed
828. Attention-guiding Takeover Requests for Situation Awareness in Semi-autonomous Driving ↗ · 2023 · Chen, Qingxin et al. · indexed
829. An Empirical Analysis to Assess the Operational Design Domain of Lane Keeping System Equipped Vehicles Combining Objective and Subjective Risk Measures ↗ · 2021 · Farah, Haneen et al. · indexed
830. Fully-Automated Driving: The Road to Future Vehicles ↗ · 2011 · Jamson, Hamish et al. · indexed
831. Analysis of the driving behavior when the system safety level during automated driving is presented to drivers ↗ · 2019 · SUZUKI, Keisuke et al. · indexed
832. Research on drivers' hazard perception and visual characteristics before vehicle-to-powered two-wheeler collisions ↗ · 2025 · Wu, Xianhui et al. · indexed
833. Context-Aware Driver Attention Estimation Using Multi-Hierarchy Saliency Fusion With Gaze Tracking ↗ · 2024 · Hu, Zhongxu et al. · indexed
834. Effects of Cognitive Distraction on Checking Traffic Conditions for Changing Lanes ↗ · 2009 · Zhou, Huiping et al. · indexed
835. CogDriver: The Longest-Running Autonomous Driving Cognitive Model Exhibits Human Factors ↗ · 2025 · Wasta, Christian et al. · indexed
836. Supporting Driver Attention Toward Potential Hazards During Takeover: A Preliminary Result ↗ · 2024 · Tilbury, Dawn M. et al. · indexed
837. SS3: A design of the cognitive process model for a car driver considering quantitatively expressed distraction ↗ · 2014 · Harada, Taku et al. · indexed
838. Analysis of Human Driver Behavior in Highway Cut-in Scenarios ↗ · 2017 · Kim, SeHwan et al. · indexed
839. Reconciling situation awareness in humans versus machines via mode awareness and schemata ↗ · 2013 · Hew, Patrick · indexed
840. EEG and fNIRS are associated with situation awareness (hazard) prediction during a driving task ↗ · 2024 · Festa, Elena K. et al. · indexed
841. Road infrastructure support for highly automated driving · 2025 · Kulmala, Risto · archived
842. Studying Driver’s Perception Arousal and Takeover Performance in Autonomous Driving ↗ · 2022 · Wang, Qiuhong et al. · indexed
843. Is trust a belief, observation, or state: Results from an active inference analysis of driver-automation transitions of control ↗ · 2023 · Wei, Ran et al. · indexed
844. The effect of information from dash-based human-machine interfaces on drivers' gaze patterns and lane-change manoeuvres after conditionally automated driving ↗ · 2022 · Gonçalves, Rafael C. et al. · indexed
845. Effects of explanation-based knowledge regarding system functions and driver’s roles on driver takeover during conditionally automated driving: A test track study ↗ · 2021 · Zhou, Huiping et al. · indexed
846. Driver Model for Take-Over-Request in Autonomous Vehicles ↗ · 2023 · Barisic, Ankica et al. · indexed
847. Spotlighting distraction in artificial intelligence driver assistance systems · 2023 · Cardoso, Bruno et al. · archived
848. Gaze Entropy and Driver Safety: Understanding Cognitive Failure and Situational Response Before Take-over ↗ · 2025 · Chang, Mi et al. · indexed
849. Modeling Methodology of Driver-Vehicle-Environment System Dynamics in Mixed Driving Situation ↗ · 2020 · Xie, Shanshan et al. · indexed
850. A path tracking driver model with representation of driving skill ↗ · 2011 · Erseus, Andreas et al. · indexed
851. How different mental workload levels affect the take-over control after automated driving ↗ · 2016 · Bueno, M. et al. · indexed
852. Reaction time of the secondary task while driving in various situations ↗ · 2003 · Ihata, N. et al. · indexed
853. Drivers have Impaired Working Memory under High Cognitive Load and Visual Distraction: Safety Implications for Transitions of Control from Vehicle Automation ↗ · 2026 · Goncalves, Rafael Cirino et al. · indexed
854. Context-Adaptive Availability Notifications for an SAE Level 3 Automation · 2021 · Danner, Simon et al. · archived
855. Towards an H-Mode for highly automated vehicles ↗ · 2009 · Kienle, Martin et al. · indexed
856. Decoding Driver Takeover Behaviour in Conditional Automation with Immersive Virtual Reality · 2024 · Ansar, Muhammad Sajjad et al. · archived
857. Partially automated driving has higher workload than manual driving: An on‐road comparison of three contemporary vehicles with SAE Level 2 features · 2022 · Kim, Jisun et al. · archived
858. Acclimatizing to automation: Driver workload and stress during partially automated car following in real traffic · 2019 · Heikoop, Daniël D. et al. · archived
859. Cooperation between driver and automated driving system: Implementation and evaluation · 2017 · Guo, Chunshi et al. · archived
860. Predicting Driver Errors during Automated Vehicle Takeovers · 2023 · Alambeigi, Hananeh et al. · archived
861. Does automated driving affect time-to-collision judgments? ↗ · 2018 · Lodinger, Natalie R. et al. · indexed
862. Mental Models in Motion: A Framework for Real-Time Evaluation of Drivers' Understanding of ADAS Features ↗ · 2025 · Alkurdi, Duha et al. · indexed
863. Adaptive Driving Assistant Model (ADAM) for Advising Drivers of Autonomous Vehicles ↗ · 2022 · Hsieh, Sheng-Jen et al. · indexed
864. The Relationship Between Takeover Request Lead Time and Drivers’ Situation Awareness for Freeway Exiting in Conditionally Automated Driving ↗ · 2021 · Tan, Xiaomei et al. · indexed
865. A Probabilistic Model for Visual Driver Gaze Approximation from Head Pose Estimation ↗ · 2020 · Shirpour, Mohsen et al. · indexed
866. Toward highly automated driving by vehicle-to-infrastructure communications ↗ · 2015 · Noh, Samyeul et al. · indexed
867. Fatigue and mental underload further pronounced in L3 conditionally automated driving: Results from an EEG experiment on a test track · 2023 · Figalová, Nikol et al. · archived
868. How to navigate the intermediate levels of vehicle automation? ↗ · 2025 · van Nes, Nicole et al. · indexed
869. Driving Simulator Based Interactive Experiments : Understanding Driver Behavior, Cognition and Technology Uptake under Information and Communication Technologies · 2018 · Agrawal, Shubham et al. · archived
870. System Analysis of Information Reception and Processing for Driving Task ↗ · 2011 · Zariņš, Atis · indexed
871. Driver Takeover Performance under Different Driving Contexts and Non-Driving Tasks in Level 3 Automated Driving · 2026 · Liu, Meiqi et al. · archived
872. Considering Human Factors in Risk Maps for Robust and Foresighted Driver Warning ↗ · 2023 · Puphal, Tim et al. · indexed
873. Development of In-Vehicle Information Dissemination Mechanisms to Reduce Cognitive Burden in the Information-Rich Driving Environment · 2022 · Agrawal, Shubham et al. · archived
874. Influences of Different Traffic Information on Driver Behaviors While Interacting with Oncoming Traffic in Level 2 Automated Driving ↗ · 2022 · Yang, Bo et al. · indexed
875. Stepping over the threshold linking understanding and usage of Automated Driver Assistance Systems (ADAS) ↗ · 2020 · Novakazi, Fjollë et al. · indexed
876. Driver Inattention Monitoring System for Intelligent Vehicles: A Review ↗ · 2011 · Dong, Yanchao et al. · indexed
877. Preventing mind-wandering during driving: Predictions on potential interventions using a cognitive model ↗ · 2024 · Held, Moritz et al. · indexed
878. Driving with Foresight - Evaluating the Effect of Cognitive Distraction and Experience on Anticipating Events in Traffic ↗ · 2019 · Mühl, Kristin et al. · indexed
879. A framework for modeling human-like driving behaviors for autonomous vehicles in driving simulators ↗ · 2001 · Al-Shihabi, Talal et al. · indexed
880. Multimodal driver state modeling through unsupervised learning ↗ · 2022 · Tavakoli, Arash et al. · indexed
881. The effect of varying levels of vehicle automation on drivers' lane changing behaviour. · 2018 · Madigan, Ruth et al. · archived
882. Toward modeling and classification of naturalistic driving ↗ · 2005 · Torkkola, K. et al. · indexed
883. A Path towards Sustainable Vehicle Automation: Willingness to Engage in Level 3 Automated Driving · 2022 · Tomasevic, Nebojsa et al. · archived
884. Confidence Horizon for a Dynamic Balance between Drivers and Vehicle Automation: First Sketch and Application · 2022 · Herzberger, Nicolas et al. · archived
885. Experimental Setup of Motion Sickness and Situation Awareness in Automated Vehicle Riding Experience ↗ · 2017 · Md. Yusof, Nidzamuddin et al. · indexed
886. Hierarchical Control and Driving ↗ · 2013 · Medeiros-Ward, Nathan · indexed
887. Analysis of hazard perception characteristics based on driving behavior considering overt and covert hazard scenarios ↗ · 2022 · Wei, Tianzheng et al. · indexed
888. Functional Resonance Analysis in an Overtaking Situation in Road Traffic: Comparing the Performance Variability Mechanisms between Human and Automation ↗ · 2021 · Grabbe, Niklas et al. · indexed
889. Exploring Mind Wandering While Driving ↗ · 2016 · Barragán, Daniela et al. · indexed
890. Human-Like Attention Allocation for AV Car-Following Control in Lane-Changing Interactions ↗ · 2026 · Luo, Ying et al. · indexed
891. What's on your mind? A Mental and Perceptual Load Estimation Framework towards Adaptive In-vehicle Interaction while Driving · 2022 · Gomaa, Amr et al. · archived
892. Driver Expectations of a Partial Driving Automation System in Relation to Branding and Training ↗ · 2022 · Singer, Jeremiah et al. · indexed
893. Towards a Sensitive Measure of Situation Awareness in Adaptively Automated Systems ↗ · 2006 · McClernon, Christopher K. et al. · indexed
894. Vigilance Decrement During On-Road Partially Automated Driving Across Four Systems · 2023 · Strayer, David L. · archived
895. From Concept to Representation: Modeling Driving Capability and Task Demand with a Multimodal Large Language Model ↗ · 2025 · Zhou, Haoran et al. · indexed
896. Two-stage transition procedure reduces potential hazards on planned transitions in automated driving ↗ · 2024 · Hasegawa, Kunihiro et al. · indexed
897. A driver model using optic information for longitudinal and lateral control of a long vehicle combination ↗ · 2014 · Nilsson, Peter et al. · indexed
898. Designing for Situation Awareness · 2025 · Endsley, Mica R. et al. · archived
899. Evaluating Gaze Behavior of Drivers in a Mixed Autonomous Driving Traffic Flow Based on Spatial-Temporal Analysis and Causal Reasoning ↗ · 2022 · Chai, Chen et al. · indexed
900. Examining effects of scenario type and vehicle speed on takeover readiness and performance in conditionally automated driving ↗ · 2020 · Tilbury, Dawn M. et al. · indexed
901. On-line identification of driver state for lane-keeping tasks ↗ · 2005 · Pilutti, T. et al. · indexed
902. Drivers’ Safety Perception in Autonomous Vehicle Road Sharing: A Knowledge-Segmented TPB and Ordered Logit Analysis ↗ · 2026 · Tang, Boxin et al. · indexed
903. Measurement and modelling of driver learning of steering control during successive obstacle avoidance manoeuvres ↗ · 2024 · Fieldhouse, Harry et al. · indexed
904. Drivers and Driver Assistance Systems: How Well do They Match? ↗ · 2013 · Lund, Adrian K · indexed
905. An eHMI Presenting Request-to-Intervene and Takeover Status of Level 3 Automated Vehicles to Support Surrounding Traffic Safety · 2026 · Liu, Hailong et al. · archived
906. Resolving uncertainty on the fly: modeling adaptive driving behavior as active inference ↗ · 2024 · Engström, Johan et al. · indexed
907. Computational intelligent brain computer interaction and its applications on driving cognition ↗ · 2009 · Lin, Chin-Ten et al. · indexed
908. An on-road network analysis-based approach to studying driver situation awareness at rail level crossings ↗ · 2013 · Salmon, Paul M. et al. · indexed
909. Identification of driver state for lane-keeping tasks ↗ · 1999 · Pilutti, T. et al. · indexed
910. The Impact of Mind Wandering on Signal Detection, Semi-autonomous Driving Performance, and Physiological Responses ↗ · 2019 · Huang, Gaojian et al. · indexed
911. Integrating Intuitive Driver Models in Autonomous Planning for Interactive Maneuvers ↗ · 2017 · Driggs-Campbell, Katherine et al. · indexed
912. Situation understanding and risk assessment framework for preventive driver assistance ↗ · 2026 · Armand, Alexandre · indexed
913. Bringing the Driver Back In-The-Loop: Usefulness of Letting the Driver Know the Duration of an Automated Drive and its Impact on Takeover Performance · 2022 · Marx, Cyril et al. · archived
914. Impact of L2 automated systems on hazard anticipation and mitigation behavior of young drivers with varying levels of Attention Deficit Hyperactivity Disorder symptomatology ↗ · 2021 · Ebadi, Yalda et al. · indexed
915. The Impact of Vehicle Automation on the Safety of Vulnerable Road Users (Pedestrians and Bicyclists) · 2018 · Samuel, Siby et al. · archived
916. Impact of driving context on stochastic driver-behavior model: Quantitative analysis of car following task ↗ · 2012 · Angkititrakul, Pongtep et al. · indexed
917. An Evaluation of the IVIS-DEMAnD Driver Attention Demand Model ↗ · 2002 · Jackson, Douglas L. et al. · indexed
918. Human interaction with automotive technologies: specification and measurement of driver abilities ↗ · 2001 · Middleton, H. · indexed
919. Assessment of Driving Automation Interfaces via Visual Attention Measures: A Literature Review ↗ · 2021 · Kanaan, Dina et al. · indexed
920. Strategies to Assist Drivers in Remaining Attentive While Under Partially Automated Driving: Verification of Human–Machine Interface Concepts ↗ · 2017 · Llaneras, Robert E. et al. · indexed
921. A data–information–knowledge cycle for modeling driving behavior · 2022 · Al Haddad, Christelle et al. · archived
922. Effects of Non-Driving Related Tasks During Self-Driving Mode ↗ · 2022 · Minhas, Saad et al. · indexed
923. Model-Based Prediction of Operation Consequences When Driving a Car to Compensate for a Partially Restricted Visual Field by A-Pillars ↗ · 2021 · Ueda, Sayako et al. · indexed
924. Safety assessment of driving behavior in multi-lane traffic for autonomous vehicles · 2009 · Althoff, Matthias et al. · archived
925. Driver Behavior and Situation Aware Brake Assistance for Intelligent Vehicles ↗ · 2007 · McCall, J.C. et al. · indexed
926. Driver Behavior in Mixed Traffic with Autonomous Vehicles ↗ · 2026 · Rezwana, Saki et al. · indexed
927. Hybrid Eyes: Design and Evaluation of the Prediction-Level Cooperative Driving with a Real-World Automated Driving System · 2022 · Wang, Chao et al. · archived
928. Multimodal Driver State Modeling through Unsupervised Learning · 2021 · Tavakoli, Arash et al. · archived
929. Assessment of Drivers’ Mental Workload by Multimodal Measures during Auditory-Based Dual-Task Driving Scenarios ↗ · 2024 · Huang, Jiaqi et al. · indexed
930. Typology of Behavioral and Emotional Reactions to Uncomfortable Automated Driving Operations · 2024 · Beggiato, Matthias et al. · archived
931. A systematic review on test performance of the driver takeover process in automated driving ↗ · 2025 · Chen, Haolin et al. · indexed
932. A fuzzy-based system for decision of driver mental status and its performance evaluation ↗ · 2025 · Liu, Yi · indexed
933. A Visual Driving Car-Following Model Based on Dynamic Vision Features ↗ · 2026 · Geng, Bowen et al. · indexed
934. Different feedback strategies: Evaluation of active vehicle motions in a multi-level system · 2022 · Wald, Pia et al. · archived
935. Driving Context Sensitivity: An Endogenous Concept for Capturing Intra-driver Heterogeneity ↗ · 2026 · Mohammadian, Saeed et al. · indexed
936. Autonomous Vehicles · 2024 · Kemeny, Andras · archived
937. Human-Centered AI to Support an Adaptive Management of Human-Machine Transitions with Vehicle Automation · 2020 · Bellet, Thierry et al. · archived
938. From Prediction to Design: Using Context-Aware Graph Neural Networks and Explainable AI to Anticipate Transfer-of-Control ↗ · 2026 · Zhao, Zhouqiao et al. · indexed
939. A Review of UTDrive Studies: Learning Driver Behavior From Naturalistic Driving Data ↗ · 2021 · Liu, Yongkang et al. · indexed
940. “Watch out!”: Prediction-Level Intervention for Automated Driving ↗ · 2020 · Wang, Chao et al. · indexed
941. Collective risk but individual safety · 1988 · RUMAR, KÁRE · archived
942. Stabilization Time after Mode Switch in Conditionally Automated Driving: Focusing on Drivers Cognitive Load and Visual Attention ↗ · 2025 · Li, Yujin et al. · indexed
943. Stabilization Time after Mode Switch in Conditionally Automated Driving: Focusing on Drivers’ Cognitive Load and Visual Attention ↗ · 2025 · Li, Yujin et al. · indexed
944. A new computational perceived risk model for automated vehicles based on potential collision avoidance difficulty (PCAD) ↗ · 2024 · He, Xiaolin et al. · indexed
945. Driver Behavior Modeling Toward Autonomous Vehicles: Comprehensive Review ↗ · 2023 · Negash, Natnael M. et al. · indexed
946. A System's Perspective Towards an Architecture Framework for Safe Automated Vehicles · 2018 · Bagschik, Gerrit et al. · archived
947. Notice of Removal A driver model as the supervisory controller in a vehicle system: Human factors integration to control ↗ · 2015 · Togai, Kazuhide et al. · indexed
948. Human Decision-Making in High-Risk Driving Scenarios: A Cognitive Modeling Perspective ↗ · 2024 · Li, Zheng et al. · indexed
949. From operational to tactical driving: A hybrid learning approach for autonomous vehicles ↗ · 2008 · Tran Xuan Phuoc Diem et al. · indexed
950. METHODOLOGY FOR PREDICTING ERRORS BY A CANDIDATE DRIVER IN THE ANALYSIS OF ROAD SITUATIONS ↗ · 2024 · Ageev, Evgeny Viktorovich et al. · indexed
951. Driver Behavior Model for the Safety Assessment of Automated Driving ↗ · 2022 · Fries, Alexandra et al. · indexed
952. CoCAtt: A Cognitive-Conditioned Driver Attention Dataset (Supplementary Material) · 2022 · Shen, Yuan et al. · archived
953. Toward Adaptive Trust Calibration for Level 2 Driving Automation · 2020 · Akash, Kumar et al. · archived
954. Team Coordination and Shared Situation Awareness in Combat Identification ↗ · 2017 · Bolstad, Cheryl A. et al. · indexed
955. Distributed situation awareness: From awareness in individuals and teams to the awareness of technologies, sociotechnical systems, and societies ↗ · 2022 · Salmon, Paul M. et al. · indexed
956. On cognitive management and non-causal reasoning for enabling highly automated driving ↗ · 2021 · Panagiotopoulos, Ilias E. et al. · indexed
957. A study on designing driver's operation support system using driving environment-driver-vehicle interaction model ↗ · 2002 · Takahashi, H. · indexed
958. Driver State Monitoring with Hierarchical Classification ↗ · 2018 · Weyers, Patrick et al. · indexed
959. On a Formal Model of Safe and Scalable Self-driving Cars · 2017 · Shalev-Shwartz, Shai et al. · archived
960. Training Drivers to Automated Vehicles · 2023 · Mangharam, Rahul et al. · archived
961. Simulation of Automated Vehicles' Drive Cycles · 2018 · LeVine, Scott · archived
962. Situation awareness - a commander's view ↗ · 2003 · Thoms, G.A. · indexed
963. Toward Real-Time Estimation of Driver Situation Awareness: An Eye-tracking Approach based on Moving Objects of Interest ↗ · 2020 · Kim, Hyungil et al. · indexed
964. Analysis of Visual Scanning Patterns Comparing Drivers of Simulated L2 and L0 Systems ↗ · 2019 · Hatfield, Nathan et al. · indexed
965. Examining Drivers’ Sense of Agency When Operating Level 3 Automated Vehicles: A Driving Simulator Study ↗ · 2026 · Aiken, Heather et al. · indexed
966. Context-Dependent Assessment of Driving Dynamics and User Perception in Automated Driving ↗ · 2026 · Panzer, Anna et al. · indexed
967. How to keep drivers engaged while supervising driving automation? A literature survey and categorisation of six solution areas ↗ · 2019 · Cabrall, Christopher D. D. et al. · indexed
968. Driver response to unexpected situations when using and in-vehicle information system · 1999 · Biever, Wayne et al. · archived
969. Bayesian Multimodal Driver Readiness Estimation and Adaptive HMI for Safety-Critical Automated Driving ↗ · 2026 · Razm, Sobhan et al. · indexed
970. This is your brain on autopilot: Neural indices of driver workload and engagement during partial vehicle automation · 2023 · McDonnell, AS et al. · archived
971. Dynamic Task Allocation and Understanding of Situation Awareness Under Different Levels of Autonomy in Closed-Hatch Military Vehicles ↗ · 2020 · Cossitt, Jessie E. et al. · indexed
972. Drivers' Assessment of Hazard Perception ↗ · 2019 · Barragan, Daniela et al. · indexed
973. From Car-Driver-Handovers to Cooperative Interfaces: Visions for Driver-Vehicle Interaction in Automated Driving ↗ · 2017 · Walch, Marcel et al. · indexed
974. Driver Monitoring in the Context of Autonomous Vehicle ↗ · 2015 · Rahman Hamidur et al. · indexed
975. Maintaining Situation Awareness over Time -- A Survey on the Evolution Support of Situation Awareness Systems ↗ · 2013 · Salfinger, Andrea et al. · indexed
976. Driver visual attention model based on top-down mechanism ↗ · 2024 · Li, Qinghao et al. · indexed
977. A Framework for Automated Driving System Testable Cases and Scenarios · 2018 · Thorn, Eric et al. · archived
978. Perceptions and Understanding of Advanced Driver Assistance Systems and Vehicle Automation · 2026 · AAA Foundation for Traffic Safety · archived
979. Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data · 2021 · Rangesh, Akshay et al. · archived
980. Assessing drivers' response during automated driver support system failures with non-driving tasks ↗ · 2017 · Shen, Sijun et al. · indexed
981. Evaluation of a 3M (mistakes, mentoring, and mastery) training program for transfer of control situations in a level 2 automated driving system ↗ · 2024 · Roberts, Shannon C. et al. · indexed
982. State of the Art in Drivers’ Attention Monitoring – A Systematic Literature Review ↗ · 2023 · Al-Gburi, Sama Hussein et al. · indexed
983. Safety Benefits of Automated Vehicles: Extended Findings from Accident Research for Development, Validation and Testing · 2016 · Winkle, Thomas · archived
984. Using Modeling and Simulation to Predict Operator Performance and Automation-Induced Complacency With Robotic Automation ↗ · 2015 · Wickens, Christopher D. et al. · indexed
985. From Distraction to Action: Elevating Situation Awareness with Visual Assistance in Level 3 Autonomous Driving ↗ · 2024 · Zhu, Yancong et al. · indexed
986. Usability testing of three visual HMIs for assisted driving: How design impacts driver distraction and mental models · 2023 · Perrier, Mickaël J. R. et al. · archived
987. Analysis of Driver Behavior in Mixed Autonomous and Non-autonomous Traffic Flows · 2022 · Liu, Jundi et al. · archived
988. Automatic detection of driver's awareness with cognitive task from driving behavior ↗ · 2016 · Chakraborty, Basabi et al. · indexed
989. Scenario Authoring for a Driving Simulator to Evaluate Driver Experience in Intelligent Autonomous Vehicles · 2015 · Manawadu, Udara et al. · archived
990. Automated driving experiences, attention, and intentions following extensive on-road usage of a level 2 automation vehicle · 2024 · Sanbonmatsu, DM et al. · archived
991. Explicit behaviors affected by driver's trust in a driving automation system · 2019 · Liu, Hailong et al. · archived
992. Improvement of driver active interventions during automated driving by displaying trajectory pointers—A driving simulator study ↗ · 2019 · Ono, Sayaka et al. · indexed
993. Identifying the Causes of Drivers’ Hazardous States Using Driver Characteristics, Vehicle Kinematics, and Physiological Measurements · 2018 · Darzi, Ali et al. · archived
994. Situation awareness implications of adaptive automation for information processing in an air traffic control-related task ↗ · 2017 · Kaber, David B et al. · indexed
995. The Impact of Higher Levels of Automation on Performance and Situation Awareness ↗ · 2016 · Jipp, Meike et al. · indexed
996. Takeover Transition in Autonomous Vehicles: A YouTube Study · 2019 · Zhou, Feng et al. · archived
997. A Two-Layer Risky Driver Recognition Model With Context Awareness ↗ · 2021 · Wang, Ke et al. · indexed
998. Effects of Automation Types on Air Traffic Controller Situation Awareness and Performance ↗ · 2009 · Sethumadhavan, Arathi · indexed
999. Development of Prototype Driver Models for Highway Design: Research Update · 1999 · NHTSA · archived
1000. PRECURSOR SYSTEM ANALYSES OF AUTOMATED HIGHWAY SYSTEM. FINAL REPORT. VOLUME III: AUTOMATED CHECK-OUT · 1995 · Turan, Levent et al. · archived
1001. Using tactile displays to maintain situational awareness during driving ↗ · 2013 · Howard, M. et al. · indexed
1002. Effective feature extraction from driving data for detection of danger awareness ↗ · 2019 · Nakano, Kotaro et al. · indexed
1003. Adaptive multi-modal interface model concerning mental workload in take-over request during semi-autonomous driving ↗ · 2021 · Chen, Weiya et al. · indexed
1004. A Simulator Dataset to Support the Study of Impaired Driving · 2025 · Gideon, John et al. · archived
1005. Task-Based AR-HUD in Autonomous Driving: Enhancing Driver Agency, Engagement, Attention, and Takeover Performance · 2026 · Sun, Bingxin et al. · archived
1006. Situation Awareness for Driver-Centric Driving Style Adaptation ↗ · 2025 · Haselberger, Johann et al. · indexed
1007. The Sense of Agency in Driving Automation ↗ · 2019 · Wen, Wen et al. · indexed
1008. Using Microworlds to Design Intelligent Interfaces that Minimize Driver Distraction · 2001 · Kantowitz, Barry H · archived
1009. Human Factor Issues Associated with Lane Change Collision Avoidance Systems: Effects of Authority, Control, and Ability on Drivers’ Performance and Situation Awareness ↗ · 2017 · Muslim, Husam et al. · indexed
1010. Modeling the decision process of the lane-change maneuver using a situation-operator model ↗ · 2005 · Ahle, E. et al. · indexed
1011. Model based scenario specification for development and test of automated driving functions ↗ · 2016 · Bach, Johannes et al. · indexed
1012. Automatic detection of mind wandering in a simulated driving task with behavioral measures · 2018 · Zhang, Yuyu et al. · archived
1013. AutoPreview: A Framework for Autopilot Behavior Understanding · 2021 · Shen, Yuan et al. · archived
1014. Dynamic driving task fallback for an automated driving system whose ability to monitor the driving environment has been compromised · 2017 · Emzivat, Yrvann et al. · archived
1015. Empirical Research for Mixed Traffic Research · 2025 · He, Dengbo et al. · archived
1016. Identification of a driver model incorporating sensory dynamics, with nonlinear vehicle dynamics and transient disturbances ↗ · 2021 · Nash, C. J. et al. · indexed
1017. An Integrated Open-Source Framework for Automated Analysis of Driver Activity, Glance, and Vehicle Automation Mode ↗ · 2026 · Sahoo, Praneet et al. · indexed
1018. Subtle motion cues by automated vehicles can nudge human drivers’ decisions: Empirical evidence and computational cognitive model · 2023 · Abbink, David A. · archived
1019. Scientific Measurement of Situation Awareness in Operational Testing ↗ · 2023 · Green, Elizabeth et al. · indexed
1020. A holistic approach for modeling and verification of human driver behavior ↗ · 2015 · Bouhoute, Afaf et al. · indexed
1021. Situation Awareness Oriented Design: Review and Future Directions ↗ · 2024 · Endsley, Mica R. et al. · indexed
1022. Can Pupillometry be used to Detect Driver Hazard Awareness? ↗ · 2024 · Tamura, Kimimasa et al. · indexed
1023. Integrating Human Behavior Toward the Development of Safer Cooperative Automated Transportation: Implementation of SHRP2 Naturalistic Driving Study · 2023 · Ahmed, Mohamed et al. · archived
1024. Modeling driver behavior in interactions with other road users ↗ · 2020 · Thalya, Prateek et al. · indexed
1025. Preventing mind-wandering during driving: Predictions on potential interventions using a cognitive model ↗ · 2023 · Held, Moritz et al. · indexed
1026. The Expert Locomotive Engineer’s Mental Model · 2021 · NHTSA · archived
1027. Highly automated driving on highways: System implementation on PC and automotive ECUs · 2011 · Vanholme, Benoit et al. · archived
1028. HIERARCHICAL MODEL OF BEHAVIOURAL ADAPTATION AND TRAFFIC ACCIDENTS ↗ · 1997 · Summala, Heikki · indexed
1029. Approaches for loss of vigilance in vehicle automation: a meta-analytical study ↗ · 2017 · Gonçalves, Rafael Cirino et al. · indexed
1030. A method for driving control authority transition for cooperative autonomous vehicle ↗ · 2015 · Koo, Yongbon et al. · indexed
1031. Quantifying the Individual Differences of Driver' Risk Perception with Just Four Interpretable Parameters · 2022 · Chen, Chen et al. · archived
1032. Requirements for cooperative vehicle guidance ↗ · 2013 · Dambock, D. et al. · indexed
1033. Interruption and Reorientation Effects of a Situation Awareness Probe on Driving Hazard Anticipation ↗ · 2004 · McGowan, Alastair et al. · indexed
1034. Preface to the Special Issue on Assessment and Effectiveness of Driver Monitoring Systems ↗ · 2023 · Biondi, Francesco et al. · indexed
1035. Scenarios for Development, Test and Validation of Automated Vehicles · 2018 · Menzel, Till et al. · archived
1036. Driver expectancy in highway design and traffic operations · 1986 · Alexander, Gerson J. et al. · archived
1037. Guest Editors’ Introduction: Multimodal Technologies and Interaction in the Era of Automated Driving · 2019 · Riener, Andreas et al. · archived
1038. Exploring risky events and driver responses in automated driving: Insights from real-world videos ↗ · 2025 · Xiang, Wei et al. · indexed
1039. Driver Behavior and Situation Aware Brake Assistance for Intelligent Vehicles ↗ · 2009 · McCall, J. C. et al. · indexed
1040. Machine Learning Techniques for Cognition of Driving Context ↗ · 2019 · Hina, Manolo Dulva et al. · indexed
1041. Monitoring, managing, and motivating driver safety and well-being ↗ · 2011 · Coughlin, Joseph F. et al. · indexed
1042. Maneuver-Based Trajectory Planning for Highly Autonomous Vehicles on Real Road With Traffic and Driver Interaction · 2010 · Glaser, Sébastien et al. · archived
1043. Driver mental workload measurement trends and cognitive impacts: a literature review ↗ · 2026 · Faidah, Uyun Nadzirotul et al. · indexed
1044. Intelligent Assessment and Training of Hazard Perception for Human Drivers and Autonomous Vehicles Using Deep Reinforcement Learning and Hierarchical Clustering ↗ · 2024 · Bizhe, Navid et al. · indexed
1045. Modeling Driver-Automation Interaction using A Naturalistic Multimodal Driving Dataset ↗ · 2022 · Yang, Shiyan et al. · indexed
1046. Developing an Improved ACT-R Model for Pilot Situation Awareness Measurement ↗ · 2021 · Chen, Hao et al. · indexed
1047. Cost-efficient driver state and road conditions monitoring system for conditional automation ↗ · 2017 · Allamehzadeh, Arman et al. · indexed
1048. Mental Workload and Task Performance for Indirect Vision Driving with Fixed Flat Panel Displays · 2001 · Smyth, Christopher C · archived
1049. Objective evaluation of situation awareness for dynamic decision makers in teleoperations · 1991 · Endsley, Mica R. · archived
1050. This is your brain on autopilot 2.0: The influence of practice on driver workload and engagement during on-road, partially automated driving · 2024 · McDonnell, AS et al. · archived
1051. A framework for modelling driving knowledge ↗ · 2017 · Bellet, Thierry et al. · indexed
1052. 2022 Forum on the Impact of Vehicle Technologies and Automation on Users: A Summary Report · 2022 · AAA Foundation for Traffic Safety · archived
1053. Identifying Deviations from Normal Driving Behavior · 2022 · Hananeh Alambeigi, H et al. · archived
1054. Behavior-Aware Knowledge-Embedded Model for Driver Attention Prediction ↗ · 2025 · Zhou, Yuchen et al. · indexed
1055. On-road trust and perceived risk in Level 2 automation ↗ · 2022 · Stapel, Jork et al. · indexed
1056. Workload, Distraction, and Automation ↗ · 2020 · Lee, John D. et al. · indexed
1057. Connected and Automated Vehicle Based Intersection Maneuver Assist Systems (CAVIMAS) and Their Impact on Driver Behavior, Acceptance, and Safety · 2020 · Pradhan, Anuj K. et al. · archived
1058. Evaluating the Influence of Ambient State of a Car on the Cognitive Distracted State of the Driver ↗ · 2018 · Koma, Hiroaki et al. · indexed
1059. Automatic and manual driving paradigms: Cost-efficient mobile application for the assessment of driver inattentiveness and detection of road conditions ↗ · 2016 · Allamehzadeh, Arman et al. · indexed
1060. Analyzing driving stability and cognitive demands in takeover of conditional automation with immersive virtual reality ↗ · 2026 · Ansar, Muhammad Sajjad et al. · indexed
1061. Getting to the Objective: Analyzing Navigation, Automation, and Situation Awareness from a Soldier’s Perspective ↗ · 2023 · Walters, Jacob S. · indexed
1062. Is Driving Automation Used as Intended? Real-World Use of Partially Automated Driving Systems and their Safety Consequences ↗ · 2021 · Kim, Hyungil et al. · indexed
1063. HARMONY: A Human-Centered Multimodal Driving Study in the Wild · 2021 · Tavakoli, Arash et al. · archived
1064. Data-driven simulation and parametrization of traffic scenarios for the development of advanced driver assistance systems ↗ · 2015 · Zofka, Marc René et al. · indexed
1065. Cooperation between drivers and automation: implications for safety ↗ · 2008 · Hoc, Jean-Michel et al. · indexed
1066. The Influence of Driver Stress, Partial-Vehicle Automation, and Subjective State on Driver Performance ↗ · 2005 · Funke, Gregory J. et al. · indexed
1067. Identifying novice drivers in need of hazard perception ability improvement for takeover performance ↗ · 2024 · Weng, Shixuan et al. · indexed
1068. Encountering Automation Surprise in Everyday Automated Driving: An Exploratory Phenomenological Inspired Study Using A Wizard‐of‐Oz Vehicle on Real Motorways ↗ · 2025 · Dong, Haoyu et al. · indexed
1069. Convey situation awareness in conditionally automated driving with a haptic seat ↗ · 2019 · Capallera, Marine et al. · indexed
1070. A driving simulator study on the perception of distances in situations of car-following and overtaking · 2006 · Bergeron, Jacques et al. · archived
1071. Interactive Driving Turing Test with Think-Aloud Protocol: How Realistic Are Behavioural Driver Models? ↗ · 2026 · Tang, Tianyu et al. · indexed
1072. Driver’s Mental Workload Measurement Concerning Cognitive Channels ↗ · 2020 · Chen, Weiya et al. · indexed
1073. Modeling Driver Behavior as Sequential Risk-Taking Task ↗ · 2008 · Hamdar, Samer H. et al. · indexed
1074. Experiencing Automated Vehicles in Real-Life Affects Central Aspects of Drivers’ User Experience · 2026 · Brandenburg, Stefan et al. · archived
1075. Using situation awareness measures to characterize mental models in an inductive reasoning task ↗ · 2021 · Zhang, Tao et al. · indexed
1076. Behavioural impacts of Advanced Driver Assistance Systems–an overview · 2019 · Brookhuis, Karel et al. · archived
1077. Impact of Advanced Driver Assistance Systems (ADAS) on Road Safety and Implications for Education, Licensing, Registration, and Enforcement · 2022 · Pradhan, Anuj K. et al. · archived
1078. Review of Simulation Frameworks and Standards Related to Driving Scenarios · 2019 · Schnelle, Scott C. et al. · archived
1079. A DISCRETE-EVENT SIMULATION MODEL FOR DRIVER PERFORMANCE ASSESSMENT: APPLICATION TO AUTONOMOUS VEHICLE COCKPIT DESIGN OPTIMIZATION ↗ · 2020 · Iuskevich, I. et al. · indexed
1080. Modeling the decision-making in human driver overtaking · 2020 · Stefansson, Elis et al. · archived
1081. Driver instruction for automated vehicles: Assessing the role of specific elements on learner motivation and mental model development · 2022 · Feinauer, Sophie et al. · archived
1082. Vision Transformer for Detecting Critical Situations and Extracting Functional Scenario for Automated Vehicle Safety Assessment ↗ · 2022 · Kang, Minhee et al. · indexed
1083. Predicting Driver Intent from Models of Naturalistic Driving ↗ · 2015 · Bender, Asher et al. · indexed
1084. Subtle motion cues by automated vehicles can nudge human drivers’ decisions: Empirical evidence and computational cognitive model · 2023 · Zgonnikov, Arkady et al. · archived
1085. Influences on Drivers’ Understandings of Systems by Presenting Image Recognition Results ↗ · 2021 · Yang, Bo et al. · indexed
1086. Understanding Driving: Applying Cognitive Psychology to a Complex Everyday Task ↗ · 2001 · Shipp, Melvin D. · indexed
1087. Autonomous driving: investigating the feasibility of car-driver handover assistance · 2015 · Walch, Marcel et al. · archived
1088. A Quantitative Method of Assessing the Hazard Perception of Drivers in Human-Machine Codriving Vehicles ↗ · 2024 · Feng, Zhongxiang et al. · indexed
1089. APLICABILIDADE DE MODELOS DE TOMADA DE DECISÃO DE RISCO PARA ENTENDER O COMPORTAMENTO DE MOTRISTAS DURANTE RETOMADAS DE CONTROLE EM AUTOMAÇÃO VEICULAR ↗ · 2019 · Gonçalves, Rafael Cirino et al. · indexed
1090. Transitions from Autopilot to Manual Control in Highly Automated Driving: Cognitive Simulations ↗ · 2018 · Kim, Woojin et al. · indexed
1091. Examining cognitive interference and adaptive safety behaviours in tactical vehicle control ↗ · 2007 · Horrey, William J. et al. · indexed
1092. The role of driver models in testing highly-automated driving: a survey ↗ · 2023 · Lemmer, Markus et al. · indexed
1093. The effects of takeover request lead time on drivers’ situation awareness for manually exiting from freeways: A web-based study on level 3 automated vehicles ↗ · 2022 · Tan, Xiaomei et al. · indexed
1094. Takeover Requests in Highly Automated Truck Driving: How Do the Amount and Type of Additional Information Influence the Driver–Automation Interaction? · 2018 · Richardson, Natalie T. et al. · archived
1095. An Initial Review of the Instructional and Operational Variability Among Automated Systems in Passenger Vehicles ↗ · 2017 · Wright, Timothy J. et al. · indexed
1096. Driving With the Wandering Mind ↗ · 2013 · Yanko, Matthew R. et al. · indexed
1097. A New Driving Simulator Including An Interactive Intelligent Traffic Environment ↗ · 2005 · van Wolffelaar, P.C. et al. · indexed
1098. Driver Cognitive Architecture Based on EEG Signals: A Review ↗ · 2024 · Mi, Peiwen et al. · indexed
1099. Examining the Effects of Visibility and Time Headway on the Takeover Risk during Conditionally Automated Driving ↗ · 2022 · Peng, Haorong et al. · indexed
1100. Real-World Use of Partially Automated Driving Systems and Driver Impressions ↗ · 2020 · Kim, Hyungil et al. · indexed
1101. Mental state and behavior inference using Mirror Neuron System architecture for traffic/driver monitoring ↗ · 2011 · Varadarajan, Karthik Mahesh et al. · indexed
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1103. Incorporation of Driver Distraction in Car-following model based on Driver's Eye Glance Behavior ↗ · 2018 · Kim, Yeeun et al. · indexed
1104. A Mathematical Model of Driver Alertness ↗ · 1972 · Haight, F. A. · indexed
1105. Fault Condition and Familiarity Shape Evasive Performance in SAE Level 2 Driving Automation ↗ · 2026 · Schmitz, Maegan L. et al. · indexed
1106. Naturalistic Driving Scenario Recognition with Multimodal Data ↗ · 2022 · Wang, Ke et al. · indexed
1107. Probabilistic Time-To-Collision: Correlation of Driver Gaze and Surrounding Objects ↗ · 2020 · Epple, Nico et al. · indexed
1108. Understanding the Impact of Technology: Do Advanced Driver Assistance and Semi-Automated Vehicle Systems Lead to Improper Driving Behavior? · 2019 · AAA Foundation for Traffic Safety · archived
1109. Development of an errorable car-following driver model ↗ · 2010 · Yang, H.-H. et al. · indexed
1110. Safety Driving Decision-Making of the AVCSS ↗ · 2008 · Yong, Luo et al. · indexed
1111. The effect of peripheral visual feedforward system in enhancing situation awareness and mitigating motion sickness in fully automated driving ↗ · 2018 · Karjanto, Juffrizal et al. · indexed
1112. The BMW SURF Project: A Contribution to the Research on Cognitive Vehicles ↗ · 2007 · Hoch, Stefan et al. · indexed
1113. A Taxonomy for Autonomous Vehicles Considering Ambient Road Infrastructure · 2023 · Chen, Sikai et al. · archived
1114. Behavioral adaptation of drivers when driving among automated vehicles · 2022 · Aramrattana, Maytheewat et al. · archived
1115. Communicating intent on the road through human-inspired control schemes · 2016 · Driggs-Campbell, Katherine et al. · archived
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1118. A Semantic Hybrid Temporal Approach for Detecting Driver Mental Fatigue ↗ · 2024 · Ansari, Shahzeb et al. · indexed
1119. Modeling Driver Takeover Intention in Automated Vehicles With Attention-Based CNN Algorithm ↗ · 2022 · Gupta, Shantanu et al. · indexed
1120. Mind Wandering Behind the Wheel ↗ · 2011 · He, Jibo et al. · indexed
1121. Discovering Driver-vehicle Coordination Problems in Future Automated Control Systems: Evidence from Verbal Commentaries ↗ · 2015 · Banks, Victoria A. et al. · indexed
1122. How Traffic Situations and Non-Driving Related Tasks Affect the Take-Over Quality in Highly Automated Driving ↗ · 2014 · Radlmayr, Jonas et al. · indexed
1123. Implicit Driving Cues for Coordinating Actions When Sharing Spaces ↗ · 2026 · Hensch, Ann-Christin et al. · indexed
1124. Control Theoretic Models of Human Drivers in Car Following ↗ · 1977 · Bekey, George A. et al. · indexed
1125. Time to Focus on the Road: Adaptive Monitoring Requests Design for Attentional Shift in Conditional Automated Driving ↗ · 2025 · Lim, Yeonsu et al. · indexed
1126. Using Video Analytics to Automatically Annotate Driver Behavior and Context in Naturalistic Driving Data · 2024 · Sarkar, Abhijit et al. · archived
1127. Capable and considerate: Exploring the assigned attributes of an automated vehicle · 2021 · Johansson, Mikael et al. · archived
1128. Assessing the Mental States of Fallback-Ready Drivers in Automated Driving by Electrooculography ↗ · 2019 · Wu, Yanbin et al. · indexed
1129. Models of Human Behavior for Human–Robot Interaction and Automated Driving: How Accurate Do the Models of Human Behavior Need to Be? ↗ · 2024 · Markkula, Gustav et al. · indexed
1130. Change in Microscopic Traffic Simulation Practice with Respect to the Emerging Automated Driving Technology · 2021 · Fang, Xuan et al. · archived
1131. 2H1-6　The Effect of Driver Engagement in Autonomous Driving based on Flow Experience · 2019 · Park, Jinsang et al. · archived
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1133. Driver-centred vehicle automation: using network analysis for agent-based modelling of the driver in highly automated driving systems ↗ · 2016 · Banks, Victoria A. et al. · indexed
1134. Development of a Novel Measure of Situation Awareness: The Case for Eye Movement Analysis ↗ · 2010 · Moore, Kristin et al. · indexed
1135. Explaining human interactions on the road by large-scale integration of computational psychological theory · 2023 · Markkula, Gustav et al. · archived
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1137. Secondary task and situation awareness, a mobile application for conditionally automated vehicles ↗ · 2019 · Capallera, Marine et al. · indexed
1138. Driver State in Take-over from Automated to Manual Driving ↗ · 2016 · ITO, Toshio et al. · indexed
1139. The Impact of Automation Use on the Mental Model: Findings from the Air Traffic Control Domain ↗ · 2003 · Nunes, Ashley · indexed
1140. Journey's End: Will Vehicle Automation Make Skilled Drivers Redundant? ↗ · 2000 · Young, Mark S. et al. · indexed
1141. Ready to Transition? Strategies to Bring Drivers Back into the Loop Upon Requests to Intervene in Conditionally Automated Driving ↗ · 2024 · Heinrich, Luisa Katharina et al. · indexed
1142. Highly Automated Driving Impact on Drivers’ Gaze Behaviors during a Car-Following Task ↗ · 2019 · Navarro, J. et al. · indexed
1143. Tactical driver behavior prediction and intent inference: A review ↗ · 2011 · Doshi, Anup et al. · indexed
1144. Dissociation of subjective and objective measures of trust in vehicle automation: a driving simulator study · 2025 · Petkac, Samuel et al. · archived
1145. Detection of the Driver’s Mental Workload Level in Smart and Autonomous Systems Using Physiological Signals ↗ · 2022 · Wang, Dan et al. · indexed
1146. MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning · 2021 · Baee, Sonia et al. · archived
1147. Automated Driving Systems’ Communication of Intent with Shared Road Users · 2021 · Jenness, James et al. · archived
1148. Predicting takeover response to silent automated vehicle failures ↗ · 2020 · Mole, Callum et al. · indexed
1149. An Exploratory Study of Driver Response to Reduced System Confidence Notifications in Automated Driving ↗ · 2017 · Tijerina, Louis et al. · indexed
1150. Route familiarity breeds inattention: A driving simulator study ↗ · 2013 · Yanko, Matthew et al. · indexed
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1152. Predicting Takeover Performance and Identifying Behavioral Patterns in Autonomous Vehicles Based on Readiness State and Scenario Complexity ↗ · 2025 · Lai, Hsueh-Yi et al. · indexed
1153. An Active Inference Model of Car Following: Advantages and Applications · 2023 · Wei, Ran et al. · archived
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1155. A hierarchical risk model for traffic participants ↗ · 1988 · Van Der Molen, H H et al. · indexed
1156. Vehicle Automation and Operator Training: A Systematic Review ↗ · 2026 · Hungund, Apoorva Pramod et al. · indexed
1157. What Should Automated Vehicles Communicate to Human Drivers? Prioritizing External Human-Machine Interface Information Based on the Four-Sides Model ↗ · 2026 · Zhou, Di et al. · indexed
1158. Inflating system expectations prior to SAE level 3 automated vehicle use: effects on monitoring behavior, resumption of control, and attitudes toward driving automation ↗ · 2025 · Souders, Dustin J. et al. · indexed
1159. A Review of Driving Simulation Technology and Applications · 2020 · Bruck, Lucas et al. · archived
1160. Quantitative Analysis of Situation Awareness (QASA): modelling and measuring situation awareness using signal detection theory ↗ · 2017 · Edgar, Graham K. et al. · indexed
1161. HMIway-env: A Framework for Simulating Behaviors and Preferences to Support Human-AI Teaming in Driving · 2022 · Gopinath, Deepak et al. · archived
1162. Preliminary Human Factors Review for the Intelligent Vehicle Initiative (Ivi) Program: Identification of Human Factors Research Needs · 1998 · Campbell, John L. et al. · archived
1163. Validation of human benchmark models for automated driving system approval: How competent and careful are they really? ↗ · 2025 · Olleja, Pierluigi et al. · indexed
1164. The Effects of Vehicle Automation on Driver Engagement: The Case of Adaptive Cruise Control and Mind Wandering ↗ · 2020 · Weaver, Starla M. et al. · indexed
1165. Distributed ODD Awareness for Connected and Automated Driving ↗ · 2023 · Khastgir, Siddartha et al. · indexed
1166. Extended Evaluation of Training Programs To Accelerate Hazard Anticipation Skills in Novice Teens Drivers · 2021 · Plumert, Jodie M. et al. · archived
1167. Assessing Cognitive Fidelity in a Situation Awareness Process Model ↗ · 2019 · Freiman, Mary et al. · indexed
1168. Recognition of lane change intention based on driver’s mental workload ↗ · 2026 · Zhong, Shiyu et al. · indexed
1169. Safety assessment for autonomous vehicles: A reference driver model for highway merging scenarios ↗ · 2024 · Wang, Cheng et al. · indexed
1170. Handling uncertainty in context-aware driver assistance systems ↗ · 2009 · Fuchs, Simone et al. · indexed
1171. Impact of physical disengagement on driver alertness: implications for precursors of a fully automated highway system ↗ · 2002 · Hogan, R.M. · indexed
1172. Advanced Traveler Information Systems and Commercial Vehicle Operations Components of the Intelligent Transportation Systems: Design Alternatives for In-vehicle Information Displays · 1997 · Campbell, JL et al. · archived
1173. Digital Maps for Driving Assistance Systems and Autonomous Driving ↗ · 2016 · Armand, Alexandre et al. · indexed
1174. Evaluating the Effects of Integrated Training on Minimizing Driver Distraction · 2015 · Fisher, Donald et al. · archived
1175. After Vehicle Automation Fails: Analysis of Driver Steering Behavior after a Sudden Deactivation of Control · 2018 · DinparastDjadid, Azadeh et al. · archived
1176. A Methodology for Measuring the Judgmental Components of Situation Awareness ↗ · 2000 · Strauss, Richard et al. · indexed
1177. Cognitive psychological approach for unraveling the take-over process during automated driving ↗ · 2019 · Scatturin, Lara et al. · indexed
1178. How Driving Experience Affect Trust in Automation from Level 3 Automated Vehicles? An Experimental Analysis ↗ · 2020 · Jin, Mengxia et al. · indexed
1179. Methodologies to assess usability and safety of ADAS and automated vehicle ↗ · 2016 · Pauzie, Annie et al. · indexed
1180. Safety-Oriented Driving Environment Perception and Reconstruction System ↗ · 2011 · Zhang, Chunyu et al. · indexed
1181. Modeling Human Driver Behavior During Highway Merging Using the Communication - Enabled Interaction Framework ↗ · 2025 · Siebinga, Olger et al. · indexed
1182. Evaluation of external HMI in autonomous vehicles based on pedestrian road crossing decision-making model ↗ · 2021 · JIANG, Qianni et al. · indexed
1183. Estimating driver awareness of pedestrians from driving behavior based on a probabilistic model ↗ · 2013 · Fukagawa, Yuuki et al. · indexed
1184. Human Factors in Driving ↗ · 2023 · Donmez, Birsen et al. · indexed
1185. ADAS appropriation and use: contribution of a study on driving activity without driving assistance system ↗ · 2023 · Villame, Thérèse et al. · indexed
1186. Cooperative Vehicle–Highway Automation (CVHA) Technology : Simulation of Benefits and Operational Issues · 2017 · Hunter, Michael P. et al. · archived
1187. Towards improving driver situation awareness at intersections ↗ · 2007 · Kodagoda, S. et al. · indexed
1188. Design of head-up display interfaces for automated vehicles ↗ · 2023 · Stojmenova Pečečnik, Kristina et al. · indexed
1189. Generalized Dynamic Cognitive Hierarchy Models for Strategic Driving Behavior · 2022 · Sarkar, Atrisha et al. · archived
1190. Situation analysis for driver assistance systems at urban intersections ↗ · 2012 · Herrmann, Simon et al. · indexed
1191. Using pupillometry and gaze-based metrics for understanding drivers’ mental workload during automated driving · 2023 · Radhakrishnan, Vishnu et al. · archived
1192. Safety evaluation of driver cognitive failures and driving errors on right-turn filtering movement at signalized road intersections based on Fuzzy Cellular Automata (FCA) model ↗ · 2017 · Chai, Chen et al. · indexed
1193. Passenger and cell phone conversations in simulated driving · 2004 · Drews, Frank A. et al. · archived
1194. Graphical models for driver behavior recognition in a SmartCar ↗ · 2002 · Oliver, N. et al. · indexed
1195. Detection and Categorization of Altercontrol. Phase 2 Report to BMW on a Methodical Approach for the Engineering of Driver Assistance Systems · 2001 · Ervin, Robert et al. · archived
1196. Neuroergonomic evaluation of risk-warning eHMI penetration rates in vehicle platoons: effects on pedestrians' mental workload, situation awareness, and gap acceptance. · 2026 · Yang, F et al. · archived
1197. Third Generation Simulation Data (TGSIM): A Closer Look at The Impacts of Automated Driving Systems on Human Behavior · 2024 · Talebpour, Alireza et al. · archived
1198. Enjoy the Ride Consciously with CAWA: Context-Aware Advisory Warnings for Automated Driving ↗ · 2022 · Pakdamanian, Erfan et al. · indexed
1199. Advanced Ensemble Deep Random Vector Functional Link for Eye-Tracking-based Situation Awareness Recognition ↗ · 2022 · Li, Ruilin et al. · indexed
1200. Pairing in-vehicle intelligent agents with different levels of automation: implications from driver attitudes, cognition, and behaviors in automated vehicles ↗ · 2024 · Wang, Manhua et al. · indexed
1201. Hazard perception performance and psychological factors of distracted drivers: what are the associations? ↗ · 2024 · Watling, Christopher N. et al. · indexed
1202. A Computational Cognitive Model of Driver Response Time for Scheduled Freeway Exiting Takeovers in Conditionally Automated Vehicles ↗ · 2022 · Tan, Xiaomei et al. · indexed
1203. Communications and Driver Monitoring Aids for Fostering SAE Level-4 Road Vehicles Automation ↗ · 2018 · Jiménez, Felipe et al. · indexed
1204. Comparing Methods of Detecting Mind Wandering While Driving · 2017 · Barragan, Daniela et al. · archived
1205. Traffic awareness driver assistance based on stereovision, eye-tracking, and head-up display ↗ · 2016 · Langner, Tobias et al. · indexed
1206. A framework for context-aware driver status assessment systems · 2013 · Craye, Céline · archived
1207. Is less really more? A user study on visual in-vehicle information systems in automated vehicles from a user experience and usability perspective ↗ · 2022 · Stojmenova, Kristina et al. · indexed
1208. Manipulating music to communicate automation reliability in conditionally automated driving: A driving simulator study ↗ · 2021 · Chen, Kuan-Ting et al. · indexed
1209. Automation Lessons from Other Domains ↗ · 2020 · Wickens, C. D. · indexed
1210. Driver Inattention Monitoring System: A Review ↗ · 2019 · Ahir, Archana et al. · indexed
1211. Gaze Entropy Metrics for Mental Workload Estimation are Heterogenous During Hands-Off Level 2 Automation · 2023 · Goodridge, Courtney Michael et al. · archived
1212. Data-Driven Estimation of Driver Attention Using Calibration-Free Eye Gaze and Scene Features ↗ · 2022 · Hu, Zhongxu et al. · indexed
1213. Automating the Driver's Control Tasks ↗ · 2001 · Stanton, Neville A. et al. · indexed
1214. Predictive Utility of an Objective Measure of Situation Awareness ↗ · 1990 · Endsley, Mica R. · indexed
1215. Modeling takeover decisions in driving automation: a multilevel drift–diffusion model (MDDM) framework integrating human, system, and environmental factors ↗ · 2026 · Sheng, Youyu et al. · indexed
1216. Expectations and Understanding of Advanced Driver Assistance Systems Among Drivers, Pedestrians, Bicyclists, and Public Transit Riders · 2021 · Horrey, William J et al. · archived
1217. A Software Agent for Vehicle Driver Modeling ↗ · 2019 · Obuhuma, James Imende et al. · indexed
1218. Relationship between workload and mind-wandering in simulated driving · 2017 · Zhang, Yuyu et al. · archived
1219. Ready to transition? Strategies to bring drivers back into the loop upon requests to intervene in conditionally automated driving ↗ · 2025 · Heinrich, Luisa Katharina et al. · indexed
1220. Exploring Individual Differences in Consumer Understanding of Partially Automated Driving Systems Before and After Exposure ↗ · 2023 · McDonough, Jessica et al. · indexed
1221. Effects of Situation Awareness and Decision Making on Safety, Workload and Trust in Autonomous Vehicle Take-over Situations ↗ · 2019 · Kim, Jihyun et al. · indexed
1222. What's on your mind? A Mental and Perceptual Load Estimation Framework towards Adaptive In-vehicle Interaction while Driving · 2022 · Gomaa, Amr et al. · archived
1223. Adaptation Longitudinal Driving Behavior, Mental Workload, and Psycho-Spacing Models in Fog ↗ · 2011 · Hoogendoorn, Raymond G. et al. · indexed
1224. Systematically modeling take-over performance: Considering the indirect effect of meteorological visibility mediated by drivers’ attention ↗ · 2025 · Li, Qingkun et al. · indexed
1225. On the importance of working memory in the driving safety field: A systematic review ↗ · 2023 · Zhang, Huiming et al. · indexed
1226. Influences of Level 2 Automated Driving on Driver Behaviors: A Comparison With Manual Driving ↗ · 2023 · Yang, Bo et al. · indexed
1227. Integration of Driving and Traffic Simulation: Issues and First Solutions ↗ · 2011 · Punzo, Vincenzo et al. · indexed
1228. Safety Related Misconceptions and Self-Reported BehavioralAdaptations Associated With Advanced In-Vehicle Systems: Lessons Learned From Early Technology Adopters ↗ · 2007 · Llaneras, Robert E · indexed
1229. Driver heterogeneity in willingness to give control to conditional automation · 2024 · Ansar, Muhammad Sajjad et al. · archived
1230. Deployment Scenarios for Vehicles with Higher-Order Automation · 2016 · Beiker, Sven · archived
1231. Driver-vehicle confluence or how to control your car in future? ↗ · 2012 · Riener, Andreas · indexed
1232. Ecological driver-vehicle interface design based on situation awareness ↗ · 2003 · Wuhong Wang et al. · indexed
1233. Investigating the impact of driving automation systems on distracted driving behaviors ↗ · 2021 · Dunn, Naomi et al. · indexed
1234. Models of Driving: Simulator Assessment of Adaptive Cruise Control Conceptual Understanding · 2018 · DeVane, Benjamin et al. · archived
1235. Modeling driver behavior during complex maneuvers ↗ · 2013 · Lin, Theresa et al. · indexed
1236. Research of Driver Emotion Model under Simplified Traffic Condition ↗ · 2011 · XIE, Lun et al. · indexed
1237. Do automation and digitalization distract drivers? A systematic review ↗ · 2025 · Vijay, Neelima C. et al. · indexed
1238. Construction of Driving Hazard Disposal Model for Human Drivers Based on Natural Driving Data and Extraction of Critical Scenarios for Cut-out Scenarios ↗ · 2024 · Wei, Lai et al. · indexed
1239. Factors Identification and Prediction for Mind Wandering Driving Using Machine Learning ↗ · 2021 · Lin, Ciyun et al. · indexed
1240. Assessing How Driving Self-Efficacy Influences Situational Trust in Driver Assist Technologies ↗ · 2022 · Ferraro, James C. et al. · indexed
1241. AUTOMOBIL – selbstbewegtes Fahrzeug · 2019 · Bertram, Torsten et al. · archived
1242. Driver usage and understanding of adaptive cruise control ↗ · 2012 · Larsson, Annika F.L. · indexed
1243. A Bayesian Regression Analysis of the Effects of Alert Presence and Scenario Criticality on Automated Vehicle Takeover Performance ↗ · 2023 · Alambeigi, Hananeh et al. · indexed
1244. Integrated Deployment Architecture for Predictive Real-Time Traffic Routing Incorporating Human Factors Considerations · 2014 · Song, Dongyoon et al. · archived
1245. Introducing Spatial Residual Risk for Information Degradation in Automated Driving ↗ · 2025 · Gehrke, Nils et al. · indexed
1246. Proposed Framework for Identifying and Predicting Operator Errors When using Advanced Vehicle Technologies ↗ · 2020 · Pradhan, Anuj K. et al. · indexed
1247. A Study of How Drivers’ Subjective Workload and Driving Performance Change under Varying Levels of Automation and Critical Situations ↗ · 2019 · Zhai, Junda et al. · indexed
1248. Analysis of Hurried Driving Behaviors Based on Collision Risk and Attention Allocation ↗ · 2010 · WADA, Takahiro et al. · indexed
1249. Effects of environmental, vehicle and human factors on comfort in partially automated driving: A scenario-based study · 2022 · Delmas, Maxime et al. · archived
1250. Queuing Network Modeling of Driver Lateral Control With or Without a Cognitive Distraction Task ↗ · 2012 · Bi, Luzheng et al. · indexed
1251. Attention-Based Model of Driver Performance in Rear-End Collisions ↗ · 2000 · Brown, Timothy L. et al. · indexed
1252. Effects of saccadic and scent stimulations on driver attentiveness in automated driving systems ↗ · 2023 · HIROSE, Toshiya et al. · indexed
1253. Face and Content Validity of an Automated Vehicle Road Course and a Corresponding Simulation Scenario · 2020 · Classen, Sherrilene et al. · archived
1254. Optimal Driver Warning Generation in Dynamic Driving Environment · 2024 · Li, Chenran et al. · archived
1255. A Systematic Literature Review on Safety of the Intended Functionality for Automated Driving Systems · 2025 · Patel, Milin et al. · archived
1256. Confidence Horizons: Dynamic Balance of Human and Automation Control Ability in Cooperative Automated Driving ↗ · 2024 · Usai, Marcel et al. · indexed
1257. Vision and Language: Novel Representations and Artificial intelligence for Driving Scene Safety Assessment and Autonomous Vehicle Planning · 2026 · Greer, Ross et al. · archived
1258. AUTOMATED DRIVING SYSTEMS: COMPARISON OF TRAINING METHODS’ EFFECTIVENESS · 2024 · RODAK, Aleksandra et al. · archived
1259. Identification of Human Driver Critical Behaviors and Related Reliability Evaluation in Real Time · 2022 · He, Chao et al. · archived
1260. Identification of Human Driver Critical Behaviors and Related Reliability Evaluation in Real Time · 2022 · He, Chao et al. · archived
1261. No difference in arousal or cognitive demands between manual and partially automated driving: A multi-method on-road study · 2021 · Lohani, M et al. · archived
1262. Conceptualization of Human Factors in Automated Driving by Work Domain Analysis ↗ · 2020 · Zhang, You et al. · indexed
1263. Framework for development of driver adaptive warning and assistance systems that will be triggered by a driver inattention monitor ↗ · 2009 · Aytekin, Burcu et al. · indexed
1264. Driving Behavior Analysis Applying Driving Behavior in the AHS ↗ · 2006 · Yong Luo et al. · indexed
1265. The Improvement of Road Driving Safety Guided by Visual Inattentional Blindness ↗ · 2022 · Xu, Jiawei et al. · indexed
1266. Back to School: Impact of Training on Driver Behavior and State in Autonomous Vehicles ↗ · 2020 · Sibi, Srinath et al. · indexed
1267. Integrating Neurophysiological Sensors and Driver Models for Safe and Performant Automated Vehicle Control in Mixed Traffic ↗ · 2019 · Damm, W. et al. · indexed
1268. Impact of information-assisted modalities and levels on driver takeover performance in conditional automated driving ↗ · 2025 · Yu, Zhenhua et al. · indexed
1269. Discount Driver Mental Workload Assessment ↗ · 2024 · Jiang, Haoyan et al. · indexed
1270. Exploring the Impacts of Mind Wandering on Driver Takeover in Automated Vehicles: A Comparative Study of Multimodal Displays ↗ · 2023 · Dong, Miaomiao et al. · indexed
1271. Modeling and analysis of driver behaviour under shared control through weighted visual and haptic guidance · 2022 · Wang, Zheng et al. · archived
1272. Driving performance, sleepiness, fatigue, and mental workload throughout the time course of semi‐automated driving—Experimental data from the driving simulator ↗ · 2020 · Kaduk, Sylwia I. et al. · indexed
1273. The effects of passive mobile phone interaction on situation awareness and driving performance ↗ · 2019 · Van Dam, Jared et al. · indexed
1274. Automation transparency: implications of uncertainty communication for human-automation interaction and interfaces ↗ · 2018 · Kunze, Alexander et al. · indexed
1275. Safer Than Perception: Increasing Resilience of Automated Vehicles Against Misperception · 2025 · Fränzle, Martin et al. · archived
1276. Safe Control Transitions: Machine Vision Based Observable Readiness Index and Data-Driven Takeover Time Prediction · 2023 · Greer, Ross et al. · archived
1277. Multi-Vehicle Simulation in Urban Automated Driving: Technical Implementation and Added Benefit · 2020 · Feierle, Alexander et al. · archived
1278. Does The First Officer Concur? Shared Control with Smart Vehicle Systems ↗ · 2014 · Miller, David et al. · indexed
1279. Task analysis of intersection driving scenarios : information processing bottlenecks · 2006 · Richard, Christian M. et al. · archived
1280. A sensorimotor driver model for steering control ↗ · 2009 · Sentouh, C. et al. · indexed
1281. Perceived safety and trust in SAE Level 2 partially automated cars: Results from an online questionnaire · 2021 · Nordhoff, Sina et al. · archived
1282. Probabilistic Long-term Vehicle Trajectory Prediction via Driver Awareness Model ↗ · 2020 · Liu, Jinxin et al. · indexed
1283. “Looking at the Right Stuff” – Guided Semantic-Gaze for Autonomous Driving ↗ · 2020 · Pal, Anwesan et al. · indexed
1284. User expectations of partial driving automation capabilities and their effect on information design preferences in the vehicle ↗ · 2020 · Ulahannan, Arun et al. · indexed
1285. Use Cases for Evaluation of Machine Based Situation Awareness ↗ · 2019 · Baclawski, K. et al. · indexed
1286. Driver inattention monitoring system based on multimodal fusion with visual cues to improve driving safety ↗ · 2016 · Li, Xuanpeng et al. · indexed
1287. Adaptive Situation Awareness Using Visual Analytics ↗ · 2011 · Habibi, Mohammad S. · indexed
1288. Predictive Threat Assessment via Reachability Analysis and Set Invariance Theory ↗ · 2011 · Falcone, Paolo et al. · indexed
1289. Situation Awareness Information Requirements Analysis for En Route Air Traffic Control ↗ · 1994 · Endsley, Mica R. et al. · indexed
1290. Impact of Handedness on Driver’s Situation Awareness When Driving under Unfamiliar Traffic Regulations ↗ · 2024 · Alharbi, Nesreen M. et al. · indexed
1291. “I’d like an Explanation for That!”Exploring Reactions to Unexpected Autonomous Driving ↗ · 2020 · Wiegand, Gesa et al. · indexed
1292. Predicting drivers’ takeover time for safe and comfortable vehicle control transitions: The role of spare capacity and driver characteristics ↗ · 2025 · Liang, Kexin et al. · indexed
1293. Analyzing the inconsistency in driving patterns between manual and autonomous modes under complex driving scenarios with a VR-enabled simulation platform ↗ · 2022 · Xu, Zheng et al. · indexed
1294. Missing no Interaction—Using STPA for Identifying Hazardous Interactions of Automated Driving Systems · 2018 · Abdulkhaleq, Asim et al. · archived
1295. Situation Assessment in Tactical Lane Change Behavior Planning for Automated Vehicles ↗ · 2015 · Ulbrich, Simon et al. · indexed
1296. Looking-in and looking-out vision for Urban Intelligent Assistance: Estimation of driver attentive state and dynamic surround for safe merging and braking ↗ · 2014 · Tawari, Ashish et al. · indexed
1297. A framework for simulation of surrounding vehicles in driving simulators · 2008 · Olstam, Johan et al. · archived
1298. Taking Over Control From Highly Automated Vehicles in Complex Traffic Situations ↗ · 2016 · Gold, Christian et al. · indexed
1299. Übersicht und Trends bei der Fahrer Überwachung ↗ · 2025 · Walter, Nalita et al. · indexed
1300. Suddenly safe: Processing of conflicting feedback in assisted driving ↗ · 2021 · Tanida, Koji et al. · indexed
1301. Redefining Question for Curve-Driving Practice Using Augmented Reality and Driving Models ↗ · 2019 · YAMAMOTO, Sho et al. · indexed
1302. Hybrid-state driver/vehicle modelling, estimation and prediction ↗ · 2010 · Kurt, Arda et al. · indexed
1303. Distribution of Attention, Situation Awareness and Workload in a Passive Air Traffic Control Task: Implications for Operational Errors and Automation ↗ · 1998 · Endsley, Mica R. et al. · indexed
1304. Review of driver behaviour modelling for highway on‐ramp merging ↗ · 2024 · Kherroubi, Zine el abidine et al. · indexed
1305. Workshop on Virtual Reality (VR) in Automated Vehicles: Developing and Evaluating Metrics to Assess VR in the Car ↗ · 2020 · Becerra, Zoe M et al. · indexed
1306. A Methodical Approach to Examine Conflicts in Context of Driver - Autonomous Vehicle - Interaction ↗ · 2019 · Woide, Marcel et al. · indexed
1307. Monitoring Driver - Vehicle Control in Automated Driving Applications ↗ · 2016 · Henze, Dr.-Ing. Roman et al. · indexed
1308. Analysis of Situational Acceptance and Objective Indicators During Automated Driving: A Driving Simulator Study ↗ · 2026 · Li, Chenchang et al. · indexed
1309. Nudging human drivers via implicit communication by automated vehicles: Empirical evidence and computational cognitive modeling · 2024 · Abbink, David A. · archived
1310. Evaluation of Laplacian Spatial Filter Implementation in Detecting Driver Vigilance Using Linear Classifier ↗ · 2024 · Romahadi, Dedik et al. · indexed
1311. Trends in U.S. Drivers’ Perceptions and Attitudes Toward Vehicle Automation, 2019–2025 · 2026 · AAA Foundation for Traffic Safety · archived
1312. Assessing Driver Engagement Through Machine Learning Classification of Physiological Measures ↗ · 2023 · Lochbihler, Aidan et al. · indexed
1313. Advanced Alarm Method Based on Driver’s State in Autonomous Vehicles ↗ · 2021 · Han, Ji-Hyeok et al. · indexed
1314. Functional system architectures towards fully automated driving · 2016 · Taş, Ömer Şahin et al. · archived
1315. Shifts in air traffic controllers’ situation awareness during high altitude mixed equipage operations ↗ · 2012 · Gregg, Sarah et al. · indexed
1316. Intelligent Monitoring of Flight Crew Situation Awareness ↗ · 2012 · Thatcher, Steve et al. · indexed
1317. Driver models in automobile dynamics application ↗ · 2007 · Plöchl, Manfred et al. · indexed
1318. Adaptive Bounded-Rationality Modeling of Early-Stage Takeover in Shared-Control Driving ↗ · 2026 · Sun, Jian et al. · indexed
1319. A risk‐based driver behaviour model ↗ · 2023 · Yuan, Yuxia et al. · indexed
1320. Learning Driver Behavior Models from Traffic Observations for Decision Making and Planning ↗ · 2015 · Gindele, Tobias et al. · indexed
1321. Beyond gaze fixation: Modeling peripheral vision in relation to speed, Tesla Autopilot, cognitive load, and age in highway driving ↗ · 2022 · Yang, Shiyan et al. · indexed
1322. Perception and Control for Connected and Automated Vehicles · 2020 · Sciarretta, Antonio et al. · archived
1323. Traffic Accident Human Error Quantification Considering “Yes-No” Type and “Unknown” Type Danger ↗ · 2005 · Kumamato, Hiromitsu et al. · indexed
1324. Driver Take-Over Behaviour Study Based on Gaze Focalization and Vehicle Data in CARLA Simulator ↗ · 2022 · Araluce, Javier et al. · indexed
1325. Context-Aware Driver Behavior Detection System in Intelligent Transportation Systems ↗ · 2013 · Al-Sultan, Saif et al. · indexed
1326. Closed-Loop Simulation of the Driver-Vehicle-Road System ↗ · 1983 · WILLUMEIT, H. -P. et al. · indexed
1327. Looking Inside Out: Anticipating Driver Intent From Videos ↗ · 2024 · Kung, Yung-Chi et al. · indexed
1328. Assessing Situation Awareness (SA) Using Single- or Dual-Location functional Near Infrared Spectroscopy (fNIRS) · 2023 · Bracken, Bethany K. et al. · archived
1329. The Divergence of Objective and Subjective Situation Awareness: A Meta-Analysis ↗ · 2019 · Endsley, Mica R. · indexed
1330. Thematic issue: driving automation and autonomy ↗ · 2019 · Stanton, Neville A · indexed
1331. A Simulation Study of Human Sensory Dynamics and Driver–Vehicle Response ↗ · 2022 · Nash, C. J. et al. · indexed
1332. Decision Anticipation for Driving Assistance Systems ↗ · 2020 · Amadori, Pierluigi Vito et al. · indexed
1333. Inferring the driver’s lane change intention using context-based dynamic Bayesian networks ↗ · 2006 · Polling, D. et al. · indexed
1334. An fNIRS dataset for driving risk cognition of passengers in highly automated driving scenarios · 2024 · Zhang, Xiaofei et al. · archived
1335. Evaluating the moderating effect of in-vehicle warning information on mental workload and collision avoidance performance ↗ · 2022 · Chai, Chen et al. · indexed
1336. User Requirements for Autonomous Vehicles – a Comparative Analysis of Expert and Non-expert-based Approach · 2020 · Rodak, Aleksandra et al. · archived
1337. What Do We Tell the Drivers? Toward Minimum Driver Training Standards for Partially Automated Cars ↗ · 2019 · Casner, Stephen M. et al. · indexed
1338. Semiautonomous Vehicular Control Using Driver Modeling ↗ · 2014 · Shia, Victor A. et al. · indexed
1339. Cognitive load while driving impairs memory of moving but not stationary elements within the environment. ↗ · 2014 · Blalock, Lisa Durrance et al. · indexed
1340. Development of a longitudinal and lateral driver model for autonomous vehicle control ↗ · 2004 · Guo, Konghui et al. · indexed
1341. Driving Characteristics when Autonomous Driving Change to Driver in Low Alertness and Awake from Sleeping ↗ · 2018 · Gokan, Masato et al. · indexed
1342. Driving Simulator Project · 2014 · Khaddar, Romesh et al. · archived
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1344. TRAINING FOR SITUATION AWARENESS · 2000 · Endsley, Mica R. et al. · archived
1345. Situation Awareness in Teams ↗ · 2020 · Endsley, Mica R. · indexed
1346. Design Possibilities for Vehicle Roll Motions as Feedback for the Driver during Automated Driving ↗ · 2017 · Cramer, Stephanie et al. · indexed
1347. Ergonomics Intervention in Automobile Driver Communication in a Developing Country ↗ · 2014 · Pillai, Sajan S. et al. · indexed
1348. Modeling the Visual and Motor Control of Steering With an Eye to Shared-Control Automation ↗ · 2011 · Mars, Franck et al. · indexed
1349. A Hazard Analysis Approach for Automated Driving Shared Control ↗ · 2024 · Monkhouse, Helen Elizabeth et al. · indexed
1350. The effect of visual advanced driver assistance systems on a following human driver in a mixed-traffic condition · 2023 · Ariansyah, Dedy et al. · archived
1351. The Concept of Cooperative Automation in Cars: Results from the Experiment "Overtaking on Highways" ↗ · 2005 · Biester, Lars · indexed
1352. Final Reflections ↗ · 2015 · Endsley, Mica R. · indexed
1353. A systematic study of driver steering behaviour ↗ · 1981 · REID, L. D. et al. · indexed
1354. A fallback mechanism or a commander? A discussion about the role and skill needs of future drivers within partially automated vehicles ↗ · 2021 · Zhang, Yu et al. · indexed
1355. Handover Process Models of Autonomous Cars Up to Level 3 Autonomy ↗ · 2018 · Drexler, Daniel Andras et al. · indexed
1356. The Impact of Transparency on Driver Trust and Reliance in Highly Automated Driving: Presenting Appropriate Transparency in Automotive HMI ↗ · 2024 · Li, Jue et al. · indexed
1357. The Effect of Vehicle Automation Styles on Drivers’ Emotional State ↗ · 2023 · Alsaid, Areen et al. · indexed
1358. Driver behavioural adaptations to simulated automated vehicles, potential implications for traffic microsimulation ↗ · 2023 · de Zwart, Rins et al. · indexed
1359. Safety Enhancement by Automated Driving: What are the Relevant Scenarios? ↗ · 2020 · Grabbe, Niklas et al. · indexed
1360. User interface design and verification for semi-autonomous driving · 2014 · Sadigh, Dorsa et al. · archived
1361. Comparing Merging Behaviors of Drivers with Vehicles Equipped with Level 3 Automation and Connected Messaging when Merging in a Mixed Vehicle Fleet Environment of Various Traffic Densities · 2025 · Calvo, Jose et al. · archived
1362. Modeling and Analysis of Microscopic Risk Avoidance Behavior of Homogeneous Driver Groups Under Risk Scenarios ↗ · 2024 · Zheng, Lili et al. · indexed
1363. Pilot Test for the Relationship between Drivers’ Hazard Perception Ability and Cognitive Traits of Empathizing-Systemizing ↗ · 2019 · Danno, Mikio · indexed
1364. Spatiotemporal Analysis of Shared Situation Awareness among Connected Vehicles ↗ · 2024 · Kim, Seungmo · indexed
1365. Modeling Required Driver Attention Level Based On Environmental Risk Factors Using Deep Convolutional Neural Networks ↗ · 2021 · Withanawasam, Jayani et al. · indexed
1366. Ready for Take-Over? A New Driver Assistance System for an Automated Classification of Driver Take-Over Readiness ↗ · 2017 · Braunagel, Christian et al. · indexed
1367. Situation Awareness Oriented Design: From User's Cognitive Requirements to Creating Effective Supporting Technologies ↗ · 2003 · Endsley, Mica R. et al. · indexed
1368. Situation awareness and operator performance: results from simulator-based studies ↗ · 2002 · Hallbert, B.P. · indexed
1369. A Stochastic Form of a Human Driver Steering Dynamics Model ↗ · 2005 · Gabibulayev, Magomed et al. · indexed
1370. 3D Risk Assessment Model of Non-driving-related Tasks in Level 3 Automated Driving ↗ · 2026 · Horáková, Miroslava et al. · indexed
1371. An Auditory Display for Remote Road Vehicle Operation That Increases Awareness and Presence · 2023 · Larsson, Pontus et al. · archived
1372. Multi-source enriched driving behavior models A driving simulator case study in Germany ↗ · 2025 · Al Haddad, Christelle et al. · indexed
1373. I thought you were driving! ↗ · 2023 · Young, Mark S. et al. · indexed
1374. Malleable Attentional Resources Theory: A New Explanation for the Effects of Mental Underload on Performance · 2002 · Young, Mark S. et al. · archived
1375. Assessing the effectiveness of driver training interventions in improving safe engagement with vehicle automation systems ↗ · 2025 · Zhang, Chengxin et al. · indexed
1376. The Effect of Vehicle Automation Styles on Drivers' Emotional State ↗ · 2023 · Alsaid, Areen et al. · indexed
1377. Keep your hands on the wheel: The effect of driver supervision strategy on change detection, mind wandering, and gaze behavior ↗ · 2023 · Amre, Shruti M. et al. · indexed
1378. A Study on the Driver"s Recognition and Behavioral Response of Control Authority Transition in Level 3 Automated Driving Vehicles ↗ · 2020 · Kim, Hyunsuk et al. · indexed
1379. The Impact of Situational Complexity and Familiarity on Takeover Quality in Uncritical Highly Automated Driving Scenarios ↗ · 2020 · Scharfe, Marlene Susanne Lisa et al. · indexed
1380. Towards Modelling Distracted Human Driving: Sensor Fusion and Driver Status Monitoring in a VR Simulator ↗ · 2024 · Liu, Jiacheng et al. · indexed
1381. Risk-based driver assistance for approaching intersections of limited visibility ↗ · 2017 · Damerow, Florian et al. · indexed
1382. Advanced Traveler Information Systems and Commercial Vehicle Operations Components of the Intelligent Transportation Systems: Head-up Displays and Driver Attention for Navagation Informantion · 1998 · Gore, BF et al. · archived
1383. Safety Through Agility: Using Mixed Reality to Tune Shared Autonomy Systems · 2024 · Loeb, Helen · archived
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1385. Introduction of a Full Redundant Architecture into a Vehicle by Integration of a Virtual Driver ↗ · 2006 · Holzmann, Frédéric et al. · indexed
1386. Driver attention level estimation using driver model identification ↗ · 2019 · Nishigaki, Morimichi et al. · indexed
1387. Detecting and Quantifying Mind Wandering during Simulated Driving · 2017 · Baldwin, Carryl L. et al. · archived
1388. Assessment in Driving Simulators: Where We Are and Where We Go · 2009 · Kappé, Bart et al. · archived
1389. Engagement in Non-Driving Related Tasks as a Non-Intrusive Measure for Mode Awareness: A Simulator Study ↗ · 2020 · Forster, Yannick et al. · indexed
1390. Exploring how physio-psychological states affect drivers’ takeover performance in conditional automated vehicles ↗ · 2025 · Wang, Ange et al. · indexed
1391. Do the Branding, Tone, and Mode of Training Materials Influence Consumer Understanding of a Partially Automated Driving System? ↗ · 2021 · Singer, Jeremiah et al. · indexed
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1393. Lane-Change Response to Infrastructure Warning About Lane Closure in a Mixed Vehicle Fleet · 2025 · Svancara, Austin et al. · archived
1394. Zone-of-Interaction Prioritization for Personalized Automated Driving by Considering Visual Attention Preferences ↗ · 2024 · Liu, Ao et al. · indexed
1395. Automation's Not Perfect But Neither Are We: Unveiling Illusionary Control And Automation Bias In Automated Driving ↗ · 2023 · Manger, Carina et al. · indexed
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1397. Cell-phone use diminishes self-awareness of impaired driving · 2015 · Strayer, David L. · archived
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1399. Augmenting Driver Awareness and Performance through Haptics, Assistive Controls, and Environment Perception ↗ · 2024 · Shata, Abdelrahman Ali Adel et al. · indexed
1400. “Can You Handle the Truth?”: Investigating the Effects of AR-Based Visualization of the Uncertainty of Deep Learning Models on Users of Autonomous Vehicles ↗ · 2023 · Doula, Achref et al. · indexed
1401. Intention awareness: improving upon situation awareness in human-centric environments ↗ · 2013 · Howard, Newton et al. · indexed
1402. Improving the Driver–Automation Interaction ↗ · 2013 · Beller, Johannes et al. · indexed
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1404. “Peace of Mind”, An Experiential Safety Framework for Automated Driving Technology Interactions ↗ · 2018 · Strano, Marina et al. · indexed
1405. Estimation of driver awareness of pedestrian based on Hidden Markov Model ↗ · 2015 · Phan, Minh Tien et al. · indexed
1406. Advanced Traveler Information Systems and Commercial Vehicle Operations Components of the Intelligent Transportation Systems: Head-Up Displays and Driver Attention for Navigation Information · 1998 · Hooey, B.L. et al. · archived
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1408. Redesigning Today’s Driving Automation Toward Adaptive Backup Control With Context-Based and Invisible Interfaces ↗ · 2020 · Cabrall, Christopher D. D. et al. · indexed
1409. Attentional Control in Young Drivers: Does Training Impact Hazard Anticipation in Dynamic Environments? ↗ · 2020 · Yahoodik, Sarah et al. · indexed
1410. Mitigating undesirable emergent behavior arising between driver and semi-automated vehicle · 2020 · Melman, Timo et al. · archived
1411. Cooperative Driving Automation — Highway Driving Simulator Architecture: High-Level Architecture Design · 2025 · Stark, John et al. · archived
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1413. Modeling the Impact of Automation on Driver Distraction: A Queuing Theory Approach ↗ · 2025 · Parker, Jah’inaya et al. · indexed
1414. Drinking and driving: A systematic review of the impacts of alcohol consumption on manual and automated driving performance ↗ · 2024 · Dong, Miaomiao et al. · indexed
1415. A Unified On-Demand Driving Behavior Model Based on Automated Machine Learning (AutoML) ↗ · 2023 · Li, Jiaxin et al. · indexed
1416. A Systematic Review of Virtual Reality Applications for Automated Driving: 2009–2020 · 2021 · Riegler, Andreas et al. · archived
1417. Agents, environments, scenarios: A framework for examining models and simulations of human-vehicle interaction ↗ · 2020 · Janssen, Christian P. et al. · indexed
1418. Real-World Use of Automated Driving Systems and their Safety Consequences: A Naturalistic Driving Data Analysis · 2020 · Kim, Hyungil et al. · archived
1419. Cooperative Adaptive Cruise Control: Human Factors Analysis · 2013 · Jones, Stephen · archived
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1422. The restless mind while driving: drivers’ thoughts behind the wheel ↗ · 2015 · Berthié, Gaëlle et al. · indexed
1423. Level of Automation Effects on Situation Awareness and Functional Specificity in Automation Reliance ↗ · 2012 · Smith, Adam G. et al. · indexed
1424. Human Drivers' Situation Awareness of Autonomous Driving Under Physical-world Attacks ↗ · 2023 · Zhang, Katherine S. et al. · indexed
1425. Detecting Driver Cognition Alertness State From Visual Activities in Normal and Emergency Scenarios ↗ · 2022 · Luo, Longxi et al. · indexed
1426. Real-Time Estimation of Drivers' Trust in Automated Driving Systems · 2020 · Azevedo-Sa, Hebert et al. · archived
1427. Turing in the driver's seat: Can people distinguish between automated and manually driven vehicles? ↗ · 2020 · Stanton, Neville A. et al. · indexed
1428. Analyzing the relationship between head pose and gaze to model driver visual attention ↗ · 2016 · Jha, Sumit et al. · indexed
1429. How to Keep Drivers Attentive during Level 2 Automation? Development and Evaluation of an HMI Concept Using Affective Elements and Message Framing ↗ · 2022 · Hecht, Tobias et al. · indexed
1430. Assessing driver’s mental representation of Adaptive Cruise Control (ACC) and its possible effects on behavioural adaptations ↗ · 2012 · Piccinini, Giulio Francesco et al. · indexed
1431. Driving risk assessment based on naturalistic driving study and driver attitude questionnaire analysis ↗ · 2020 · Wang, Jianqiang et al. · indexed
1432. Looking and Listening Inside and Outside: Multimodal Artificial Intelligence Systems for Driver Safety Assessment and Intelligent Vehicle Decision-Making · 2026 · Greer, Ross et al. · archived
1433. A Conceptual Framework for AI-based Explainable Driver Behavior in Human-in-the-loop Simulators ↗ · 2025 · Rebling, Patrick et al. · indexed
1434. The Impact of Expectations about Automated and Manual Vehicles on Drivers’ Behavior: Insights from a Mixed Traffic Driving Simulator Study ↗ · 2022 · Miller, Linda et al. · indexed
1435. Driver Situation Awareness and Cognitive Workload Effects of Novel Interchange Configurations and Associated Signage · 2022 · Liu, Yunmei et al. · archived
1436. Probabilistic Situation Assessment for Intelligent Vehicles with Uncertain Trajectory Distribution ↗ · 2021 · Huang, Heye et al. · indexed
1437. Dual-Task Modeling of Driving Lateral Control with a Motor Distraction Task ↗ · 2014 · Wang, Cuie et al. · indexed
1438. Trends of Transportation Simulation and Modeling Based on a Selection of Exploratory Advanced Research Projects: Workshop Summary Report · 2012 · Yang, C. Y. David et al. · archived
1439. Enhancing Safety in Autonomous Vehicles: The Impact of Auditory and Visual Warning Signals on Driver Behavior and Situational Awareness ↗ · 2024 · Huang, Ann et al. · indexed
1440. Prediction of Crash Risk based on Driving Behaviour ↗ · 2022 · Manjunath, Abhijna · indexed
1441. Explaining Authoritative Control Interventions in Automated Driving to Support Driver Understanding, Trust, and Reliance ↗ · 2025 · Dixon, Liza et al. · indexed
1442. Mapping Comprehension of ADAS across Different Road Users · 2023 · AAA Foundation for Traffic Safety · archived
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1446. Hemodynamic responses to visual cues during attentive listening in autonomous versus manual simulated driving: A pilot study ↗ · 2019 · Hidalgo-Muñoz, Antonio R. et al. · indexed
1447. Analysis of Different Measures to Detect Driver States: A Review ↗ · 2019 · Murugan, Suganiya et al. · indexed
1448. Not all minds wander equally: The influence of traits, states and road environment factors on self-reported mind wandering during everyday driving ↗ · 2016 · Burdett, Bridget R.D. et al. · indexed
1449. Beyond Levels of Automation: Human System Modes, Levels, Functions and Patterns for an Intelligent Human Systems Integration of Humans and Co-Systems · 2024 · Flemisch, Frank et al. · archived
1450. A Real-Time Context-Dependent Driver Attention AssessmentSystem Using Pupil Orientation and Head Posture ↗ · 2025 · Zhang, Weiwei et al. · indexed
1451. Classifying Cognitive Load and Driving Situation with Machine Learning ↗ · 2014 · Yoshida, Yutaka et al. · indexed
1452. Using Queuing Network and Logistic Regression to Model Driving with a Visual Distraction Task ↗ · 2013 · Bi, Luzheng et al. · indexed
1453. Enhancing autonomous vehicle hyperawareness in busy traffic environments: A machine learning approach ↗ · 2024 · Alozi, Abdul Razak et al. · indexed
1454. Enhancing the Driver's Comprehension of ADS's System Limitations: An HMI for Providing Request-to-Intervene Trigger Information · 2023 · Matsuo, Ryuji et al. · archived
1455. On-road vehicle study of the experience of automated driving · 2022 · Cooley, EH et al. · archived
1456. On Assessing Driver Awareness of Situational Criticalities: Multi-modal Bio-Sensing and Vision-Based Analysis, Evaluations, and Insights · 2020 · Siddharth, Siddharth et al. · archived
1457. Safety Compensation for Improving Driver Takeover Performance in Conditionally Automated Driving · 2020 · Yao, Hua et al. · archived
1458. Unconstrained design: improving multitasking with in-vehicle information systems through enhanced situation awareness ↗ · 2019 · Skrypchuk, Lee et al. · indexed
1459. What may happen or what you should do? Effects of knowledge representation regarding necessity of intervention on driver performance under level 2 automated driving ↗ · 2018 · Itoh, Makoto et al. · indexed
1460. Incorporating Driver Behaviors Into Connected and Automated Vehicle Simulation · 2016 · Songchitruksa, Praprut et al. · archived
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1463. Real-time Personalized Driver Support System for Pilot Assist Promotion in Different Traffic Conditions ↗ · 2021 · Orlovska, Julia et al. · indexed
1464. Driver State Regulation via Real-Time Neurofeedback in Partially Automated Driving ↗ · 2020 · Nobari, Khazar Dargahi et al. · indexed
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1466. The Out-of-the-Loop Performance Problem and Level of Control in Automation ↗ · 1995 · Endsley, Mica R. et al. · indexed
1467. Two Methods to Bring Drivers Back Better into the Loop after Automated Driving at SAE Level 3 ↗ · 2022 · Mörtl, Peter et al. · indexed
1468. Attention and Threat Detection: Warnings and How They Affect Takeover Performance ↗ · 2020 · Brunsen, Emily et al. · indexed
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1470. Intention-Aware Lane Keeping Assist Using Driver Gaze Information ↗ · 2023 · Dahl, John et al. · indexed
1471. Uncovering Variability in Human Driving Behavior Through Automatic Extraction of Similar Traffic Scenes from Large Naturalistic Datasets · 2023 · Abbink, David A. · archived
1472. Hierarchical Automated Machine Learning Approach for Self-Optimizable Driving Distraction Recognition Based on Driver’s Lane-Keeping Performance ↗ · 2023 · Chai, Chen et al. · indexed
1473. Opportunities and Challenges in Cooperative Road Vehicle Automation · 2021 · Shladover, Steven E. · archived
1474. Driving Simulator Experiment on Automation Surprise ↗ · 2016 · KAWAMOTO, Hiromichi et al. · indexed
1475. Exploring the Central Executive in Situation Awareness ↗ · 2010 · Soliman, Abdrabo Moghazy · indexed
1476. Model-based Estimation of Driver Intentions Using Particle Filtering ↗ · 2008 · Lidstrom, Kristoffer et al. · indexed
1477. Situation Awareness in Hri with Collaborating Remotely Piloted Vehicles ↗ · 2005 · Riley, Jennifer M. et al. · indexed
1478. Combined Driver Distraction and Intention Algorithm for Maneuver Prediction and Collision Avoidance ↗ · 2018 · Gillmeier, Katharina et al. · indexed
1479. Automated Driving from Human Factors Perspective ↗ · 2017 · INAGAKI, Toshiyuki · indexed
1480. The effect of situation awareness acquisition in determining the ratio of operators to semi-autonomous driving vehicles ↗ · 2004 · Scholtz, Jean C. · indexed
1481. Mode confusion of human–machine interfaces for automated vehicles ↗ · 2022 · Eom, Hwisoo et al. · indexed
1482. The Effect of Surrounding Scenery Complexity on the Transfer of Control Time in Highly Automated Driving ↗ · 2021 · Wiehr, Frederik et al. · indexed
1483. What Drivers Make of Directional Maneuver Information in a Take-Over Scenario ↗ · 2018 · Kalb, Luis et al. · indexed
1484. Curve warning driver support systems. A sensitivity analysis to errors in the estimation of car velocity ↗ · 2010 · Bertolazzi, Enrico et al. · indexed
1485. A quantitative model of takeover request time budget for conditionally automated driving · 2024 · Tanshi, Foghor et al. · archived
1486. The Effect of Passenger Interaction on Situation Awareness and Driving Performance in Sleep-Deprived Condition ↗ · 2019 · Rizalmi, Sigit Rahmat et al. · indexed
1487. A human-like steering model: Sensitive to uncertainty in the environment ↗ · 2017 · Kolekar, Sarvesh et al. · indexed
1488. Analysis of microscopic behavior models for probabilistic modeling of driver behavior ↗ · 2016 · Wheeler, Tim A. et al. · indexed
1489. Probabilistic Analysis of Dynamic Scenes and Collision Risks Assessment to Improve Driving Safety · 2011 · Laugier, Christian et al. · archived
1490. Understanding and Modeling the Human Driver ↗ · 2003 · Macadam, Charles C. · indexed
1491. From vision to action: Experiments and models of steering control during driving. ↗ · 2000 · Hildreth, Ellen C. et al. · indexed
1492. What determines the take-over time? An integrated model approach of driver take-over after automated driving ↗ · 2015 · Zeeb, Kathrin et al. · indexed
1493. FHWA Cooperative Automation Research: CARMA Proof-of-Concept TSMO Use Case Testing: CARMA Cooperative Perception Low-Level Concept of Operations · 2022 · Lou, Yingyan et al. · archived
1494. Driver Attention Assessment Using Physiological Measures from EEG, ECG, and EDA Signals ↗ · 2023 · Aminosharieh Najafi, Taraneh et al. · indexed
1495. The effects of type of road and driver personality on drivers’ automation use: an on the road study with Tesla’s autopilot · 2023 · Halama, Josephine et al. · archived
1496. Transparency Assessment on Level 2 Automated Vehicle HMIs ↗ · 2022 · Liu, Yuan-Cheng et al. · indexed
1497. Driver arousal and workload under partial vehicle automation: A pilot study · 2020 · Lohani, M et al. · archived
1498. An attempt at defining cyberdefense situation awareness in the context of command & control ↗ · 2015 · Mees, Wim et al. · indexed
1499. Computational Modeling of Driver Distraction by Integrating Cognitive and Agent-Based Traffic Simulation Models ↗ · 2014 · Nourzad, Seyed Hossein Hosseini et al. · indexed
1500. Intention to use a fully automated car: Attitudes and a priori acceptability · 2014 · Payre, William et al. · archived
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1502. Stress and Driving Performance: Implications for Design and Training ↗ · 2000 · Matthews, Gerald et al. · indexed
1503. Examining Driver Vigilance in Partially Automated Vehicles: The Impact of Push Notifications ↗ · 2025 · Proskurin, Aleksei V. et al. · indexed
1504. Human-centered design and evaluation of a workplace for the remote assistance of highly automated vehicles · 2024 · Schrank, Andreas et al. · archived
1505. Fatigue and distraction warning system for autonomous vehicle drivers in the process of three-level autonomous driving · 2024 · Sun, Haoran · archived
1506. Nudging human drivers via implicit communication by automated vehicles: Empirical evidence and computational cognitive modeling ↗ · 2024 · Zgonnikov, Arkady et al. · indexed
1507. Cooperative Automation Research: CARMA Proof-of-Concept TSMO Use Case Testing: CARMA Cooperative Perception Concept of Operations · 2022 · Lou, Yingyan et al. · archived
1508. Driver Situation Awareness and Perceived Sleepiness during Truck Platoon Driving – Insights from Eye-tracking Data ↗ · 2021 · Castritius, Sarah-Maria et al. · indexed
1509. Improvement of driver- state estimation algorithm using multi-modal information ↗ · 2015 · Yang, Ji Hyun et al. · indexed
1510. How the Initial Level of Trust in Automated Driving Impacts Drivers’ Behaviour and Early Trust Construction · 2021 · Manchon, J. B. et al. · archived
1511. Gaze-based Intention Anticipation over Driving Manoeuvres in Semi-Autonomous Vehicles ↗ · 2019 · Wu, Min et al. · indexed
1512. Influence of a Driver's Mindset on Understanding Driver-Assist Systems ↗ · 2018 · Yoshizawa, Akira et al. · indexed
1513. Modeling Driving and Sentence Comprehension Dual-task Performance in Queueing Network-ACTR ↗ · 2014 · Cao, Shi et al. · indexed
1514. Modeling the effect of driving experience on lane keeping performance using ACT-R cognitive architecture ↗ · 2013 · QIN, Yulin et al. · indexed
1515. Dynamic Real-Time Prediction of Drivers’ Risk Perception Using Deep Learning and Driving Simulator Data ↗ · 2026 · Masud, Saumik Sakib Bin et al. · indexed
1516. Risk quantification and prediction of non-driving-related tasks on drivers' critical intervention behavior in autonomous driving scenarios ↗ · 2024 · Wang, Junhua et al. · indexed
1517. Driving Behavior Modeling Based on Hidden Markov Models with Driver's Eye-Gaze Measurement and Ego-Vehicle Localization ↗ · 2019 · Akai, Naoki et al. · indexed
1518. Driver-Activity Recognition in the Context of Conditionally Autonomous Driving ↗ · 2015 · Braunagel, Christian et al. · indexed
1519. Modeling Driver Lateral Control Behavior for Human--Machine Shared Takeover During Emergency Collision Avoidance Under Dynamic Traffic Environment ↗ · 2026 · Feng, Shiyong et al. · indexed
1520. Learning in Mixed Traffic: Drivers’ Adaptation to Ambiguous Communication Depending on Their Expectations toward Automated and Manual Vehicles ↗ · 2023 · Miller, Linda et al. · indexed
1521. Development of the Driver Metacognition Questionnaire: A Scale to Measure Metacognitive Awareness While Driving ↗ · 2025 · Love, Steven et al. · indexed
1522. A Review of Sensor Technologies for Perception in Automated Driving · 2019 · Martí, Enrique et al. · archived
1523. Expectations while car following—The consequences for driving behaviour in a simulated driving task ↗ · 2010 · Muhrer, Elke et al. · indexed
1524. STDA: Spatio-Temporal Dual-Encoder Network Incorporating Driver Attention to Predict Driver Behaviors Under Safety-Critical Scenarios · 2024 · Xu, Dongyang et al. · archived
1525. Employing synesthesia-based warnings to enhance road safety during an automated driving · 2022 · Zhuo, Liang et al. · archived
1526. DAARIA: Driver assistance by augmented reality for intelligent automobile ↗ · 2012 · George, Paul et al. · indexed
1527. Perceptions of Risk and Control: Understanding Acceptance of Advanced Driver Assistance Systems · 2009 · Joshi, Somya et al. · archived
1528. Hybrid system modeling of human driver in the vehicle following task ↗ · 2007 · Toshikazu Akita et al. · indexed
1529. Computer Modeling of Operator Mental Workload and Situational Awareness in Simulated Air-to-Ground Combat: An Assessment of Predictive Validity ↗ · 1998 · See, Judi E. et al. · indexed
1530. Uncovering variability in human driving behavior through automatic extraction of similar traffic scenes from large naturalistic datasets · 2022 · Abbink, David A. · archived
1531. Interactions between Cars and Motorcycles: Testing Underlying Concepts through Integration of On-Road and Simulator Studies ↗ · 2013 · Lenné, Michael G et al. · indexed
1532. Development of an Integrated Augmented Reality Testing Environment and Implementation at the American Center for Mobility · 2023 · Liu, Henry · archived
1533. Using Models Based on Cognitive Theory to Predict Human Behavior in Traffic: A Case Study ↗ · 2023 · Schumann, Julian F. et al. · indexed
1534. Next-Generation Driver Monitoring Systems: A Review of Multimodal Detection of Distraction, Drowsiness, and Sudden Medical Conditions ↗ · 2026 · Kazum, Hasan A. et al. · indexed
1535. One of the First Fatalities of a Self-Driving Car: Root Cause Analysis of the 2016 Tesla Model S 70D Crash · 2022 · Ergin, Uluğhan · archived
1536. Driver Cognitive Distraction Detection Using Driving Performance Measures ↗ · 2012 · Jin, Lisheng et al. · indexed
1537. Using Matlab-based Driving Simulator for Human Factor Assessment · 2019 · Jirgl, Miroslav et al. · archived
1538. Joint Decision Making and Cooperative Driver-Vehicle Interaction during Critical Driving Situations ↗ · 2016 · Altendorf, Eugen et al. · indexed
1539. Evaluation of the driver’s mental workload: a necessity in a perspective of in-vehicle system design for road safety improvement · 2014 · Pauzié, Annie · archived
1540. Eye, Heart, the Brain: The Psychophysiology of Trust in AVs ↗ · 2024 · Zhang, Yinsu et al. · indexed
1541. Effects of Driver Drowsiness on Driving Performance in the Context of Partial Driving Automation Requiring Hands-on-Wheel ↗ · 2020 · Saito, Yuichi et al. · indexed
1542. Measuring mental workload with the NASA-TLX needs to examine each dimension rather than relying on the global score: an example with driving · 2017 · Galy, Édith et al. · archived
1543. Towards affect-integrated driving behaviour research ↗ · 2015 · Jeon, Myounghoon · indexed
1544. Lateral Driver‐Automation Driver Authority Decision Considering Safety of the Intended Functionality ↗ · 2024 · Wang, Huiran et al. · indexed
1545. The concept of “presence” as a measure of ecological validity in driving simulators · 2015 · Deniaud, Christophe et al. · archived
1546. Driver Capability Monitoring in Highly Automated Driving: From State to Capability Monitoring ↗ · 2015 · Goncalves, Joel et al. · indexed
1547. The Need of Intelligent Driver Training Systems for Road Safety ↗ · 2008 · Malik, Husnain et al. · indexed
1548. Experimenting With an Efficient Driver Behavior Dynamical Model Applicable to Simulated Lane Changing Tasks · 2024 · Jirgl, Miroslav et al. · archived
1549. A Lane Change Assistance System Based on Prediction of Driver Intention · 2024 · Tanshi, Foghor et al. · archived
1550. Incorporating driver distraction in car-following models: Applying the TCI to the IDM ↗ · 2013 · Hoogendoorn, Raymond et al. · indexed
1551. Assessing Automation for Aviation Personnel using a Predictive Model of SA ↗ · 2009 · Strater, Laura D. et al. · indexed
1552. Intelligent Modeling of Human Driver: A Survey ↗ · 2007 · Delice, İsmail İlker et al. · indexed
1553. Bridging Gaps Among Human, Assisted, and Automated Driving With DVIs: A Conceptional Experimental Study ↗ · 2018 · Wang, Jiao et al. · indexed
1554. Technology from Highly Automated Driving to Improve Active Pedestrian Protection Systems ↗ · 2017 · Schratter, Markus et al. · indexed
1555. Ontology-based context awareness for driving assistance systems · 2014 · Armand, Alexandre et al. · archived
1556. Recent International Activity in Cooperative Vehicle–Highway Automation Systems · 2012 · Shladover, S.E. · archived
1557. Traffic sense—which factors influence the skill to predict the development of traffic scenes? ↗ · 2003 · Vogel, Katja et al. · indexed
1558. The Relationship between Mental Workload and Situation Awareness ↗ · 2000 · Vidulich, Michael A. · indexed
1559. Cognitive load and task switching in drivers: Implications for road safety in semi-autonomous vehicles ↗ · 2024 · Xu, Jinhui et al. · indexed
1560. An Integrated Model for User State Detection of Subjective Discomfort in Autonomous Vehicles ↗ · 2021 · Niermann, Dario et al. · indexed
1561. Driving situation-based real-time interaction with intelligent driving assistance agent ↗ · 2015 · Nho, Young-Hoon et al. · indexed
1562. Driving Together: Intent-Aware Dynamic Authority Allocation for Shared Control ↗ · 2026 · Singh, Abhimanyu Pratap et al. · indexed
1563. Drivers’ engagement in NDRTs during automated driving linked to travelling speed and surrounding traffic ↗ · 2024 · Liu, Xian et al. · indexed
1564. Automated Vehicle Recommendations for Texas: A Study of Highway and Urban Operational Design Domains · 2023 · Chin, Kristie et al. · archived
1565. Identification and Modeling of Driver Multiloop Feedback and Preview Steering Control ↗ · 2018 · Van Der El, Kasper et al. · indexed
1566. Driver's trust in automated driving when sharing of spatial awareness ↗ · 2016 · Sonoda, Kohei et al. · indexed
1567. Feedforward and Feedback Control of Lane Keeping by the Human Driver ↗ · 2007 · Zhou, Jing et al. · indexed
1568. Technologies for Risk Mitigation and Support of Impaired Drivers ↗ · 2022 · Ahlstrom, Christer et al. · indexed
1569. Users’ Response to Critical Situations in Automated Driving: Rear-Ends, Sideswipes, and False Warnings ↗ · 2021 · Morando, Alberto et al. · indexed
1570. Probabilistic vehicle trajectory prediction via driver characteristic and intention estimation model under uncertainty ↗ · 2020 · Liu, Jinxin et al. · indexed
1571. Cell phone use diminishes self-awareness of the adverse effects of cell phone use on driving. · 2017 · Sanbonmatsu, David M. et al. · archived
1572. ROAD ENVIRONMENT AND VISUAL ANTICIPATION OF A COLLISION DURING SELF-MOTION ↗ · 1999 · Berthelon, Catherine et al. · indexed
1573. DIPNet: Driver intention prediction for a safe takeover transition in autonomous vehicles · 2023 · Bonyani, Mahdi et al. · archived
1574. The Effect of Augmented Reality Cues on Glance Behavior and Driver-Initiated Takeover on SAE Level 2 Automated-Driving ↗ · 2021 · de Oliveira Faria, Nayara et al. · indexed
1575. Relationships Between Cognitive and Driving Self-awareness in Older Drivers ↗ · 2021 · Paire-Ficout, Laurence et al. · indexed
1576. Area-wide real-world test scenarios of poor visibility for safe development of automated vehicles ↗ · 2018 · Winkle, Thomas et al. · indexed
1577. Computational Modeling of Driver Lateral Control on Curved Roads with Integration of Vehicle Dynamics and Reference Trajectory Tracking ↗ · 2017 · Jeong, Heejin et al. · indexed
1578. System dynamics modelling of situation awareness ↗ · 2015 · Oosthuizen, R. et al. · indexed
1579. Situation-aware decision making for autonomous driving on urban road using online POMDP ↗ · 2015 · Liu, Wei et al. · indexed
1580. Empirical Modeling of rust Formation and Intervention Intention in Conditionally Automated Driving ↗ · 2026 · Asiri, Somayah et al. · indexed
1581. Cognitive Aspect of Emotion Estimation of a Driver · 2024 · Luo, Jinshan et al. · archived
1582. Expectations and Understanding of Advanced Driver Assistance Systems among Drivers, Pedestrians, Bicyclists, and Public Transit Riders · 2021 · AAA Foundation for Traffic Safety · archived
1583. Toward Shared Control Between Automated Vehicles and Users · 2020 · Terken, Jacques et al. · archived
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1585. Understanding Reliance Decisions in Automated Vehicles Using Random Forest Analysis ↗ · 2024 · Ma, Xingjian et al. · indexed
1586. Driving Behavioral Learning Leveraging Sensing Information from Innovation Hub · 2022 · Di, Xuan et al. · archived
1587. Criticality Metrics for Automated Driving: A Review and Suitability Analysis of the State of the Art · 2022 · Westhofen, Lukas et al. · archived
1588. How safe is automated driving? Human driver models for safety performance assessment ↗ · 2017 · Roesener, Christian et al. · indexed
1589. Predicting Reduced Driver Alertness on Monotonous Highways · 2015 · Larue, Gregoire S. et al. · archived
1590. Ability and skill graphs for system modeling, online monitoring, and decision support for vehicle guidance systems ↗ · 2015 · Reschka, Andreas et al. · indexed
1591. Behavioral Adaptation, Safety, and Intelligent Transportation Systems ↗ · 2000 · Smiley, Alison · indexed
1592. Information Transparency in Multimodal Interfaces: Effects on Users' Situational Awareness in Autonomous Driving ↗ · 2025 · Liu, Xiaoqian et al. · indexed
1593. Tracking drivers’ minds: Continuous evaluation of mental load and cognitive processing in a realistic driving simulator scenario by means of the EEG · 2023 · Wascher, Edmund et al. · archived
1594. HMI Design when Using Level 2 Automated Driving Function - Effects of System Status Presentation Considering the Risk of Malfunction on Driver Behavior – ↗ · 2020 · Suzuki, Keisuke et al. · indexed
1595. Intention-Aware Supervisory Control with Driving Safety Applications ↗ · 2019 · Sahin, Yunus E. et al. · indexed
1596. Naturalistic Driving: User and Task Analysis ↗ · 2003 · Ward, P et al. · indexed
1597. Realising Meaningful Human Control Over Automated Driving Systems: A Multidisciplinary Approach · 2022 · de Sio, Filippo Santoni et al. · archived
1598. 3112 Towards Socially Acceptable Forward Vehicle Collision Avoidance : Adaptive Autonomy via Non-intrusive Driver-monitoring ↗ · 2007 · Itoh, Makoto · indexed
1599. Trust in automated vehicles: constructs, psychological processes, and assessment ↗ · 2023 · Walker, Francesco et al. · indexed
1600. Handling Occlusions in Automated Driving Using a Multiaccess Edge Computing Server-Based Environment Model From Infrastructure Sensors · 2021 · Buchholz, Michael et al. · archived
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1603. Look, Ma, no hands! A preliminary study of educational interventions aimed at setting realistic expectations of semi-autonomous vehicle technology ↗ · 2020 · Amre, Shruti M. et al. · indexed
1604. Cell phone use diminishes self-awareness of the adverse effects of cell phone use on driving. · 2017 · Strayer, David L. · archived
1605. Eye-Tracking Indices of Cognitive Load Predict Reaction Time to Urban Traffic Hazards: Machine Learning Classification and Regression Across Manual and Level 2 Assisted Driving ↗ · 2026 · Qin, Hao et al. · indexed
1606. A deep reinforcement learning framework for achieving super-human hazard perception in autonomous driving agents ↗ · 2024 · Bizhe, Navid et al. · indexed
1607. Using naturalistic and driving simulator data to model driver responses to unintentional lane departures · 2024 · Svärd, Malin et al. · archived
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1609. Modeling Driver Vehicle Control in a Cognitive Architecture ↗ · 2011 · Bi, Luzheng et al. · indexed
1610. (Mis-)use of standard Autopilot and Full Self-Driving (FSD) Beta: Results from interviews with users of Tesla's FSD Beta · 2023 · Nordhoff, Sina et al. · archived
1611. Using Trust in Automation to Enhance Driver-(Semi)Autonomous Vehicle Interaction and Improve Team Performance · 2021 · Azevedo-Sa, Hebert et al. · archived
1612. An Online Study to Explore Trust in Highly Automated Vehicle in Non-Critical Automated Driving Scenarios · 2021 · Dong, Haoyu et al. · archived
1613. Situation awareness based on big data analysis ↗ · 2016 · Paik, Incheon · indexed
1614. PLANNING AND COORDINATION IN DRIVING SIMULATION · 2015 · Schaefer, Martin · archived
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1618. Interaction-Based Vehicle Automation Model for Intelligent Vision Systems ↗ · 2025 · Balcerek, Julian et al. · indexed
1619. Driver Attention Prediction based on Multi-ScaleFeature Fusion ↗ · 2024 · Yu, Chengbin et al. · indexed
1620. DeepScenario: City Scale Scenario Generation for Automated Driving System Testing & Evaluation · 2023 · Liu, Henry et al. · archived
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1622. A Multimodal Approach for Monitoring Driving Behavior and Emotions ↗ · 2020 · Tavakoli, Arash et al. · indexed
1623. Measurement of situation awareness among diverse agents in cyber security ↗ · 2014 · Cain, Ashley A. et al. · indexed
1624. Autonomous Driving in the Real World ↗ · 2016 · Dikmen, Murat et al. · indexed
1625. Vehicle safety evaluation based on driver drowsiness and distracted and impaired driving performance using evidence theory ↗ · 2014 · Li, Xuanpeng et al. · indexed
1626. Modeling Naturalistic Driving Environment with High-Resolution Trajectory Data · 2023 · Feng, Shuo et al. · archived
1627. A study on cooperation method in a system where automatic steering and manual steering coexist ↗ · 2018 · TATEHARA, Takumi et al. · indexed
1628. Development of Simulation for Estimation of Multiple Effects to Prevent Traffic Accident by Diffusion of Advanced Driver Assistance System and Automated Vehicle · 2017 · KITAJIMA, Sou et al. · archived
1629. The Mind Wandering Phenomenon While Driving: An Exploratory Survey ↗ · 2026 · Butilă, Eugen Valentin et al. · indexed
1630. GENERAL CHARACTERISTICS OF THE DRIVER'S ACTIVITY IN THE «B-C» SYSTEM ↗ · 2024 · Ageev, Evgeniy et al. · indexed
1631. Automation of driving functions - future development, benefits and pitfalls ↗ · 2002 · Hahn, S. · indexed
1632. Development of Educational Materials for the Public and First Responders on the Limitations of Advanced Driving Assistance Systems · 2022 · Rahman, Md Ashikur et al. · archived
1633. Testing and validating high level components for automated driving: simulation framework for traffic scenarios ↗ · 2016 · Zofka, Marc Rene et al. · indexed
1634. Enabling Safe Autonomous Driving in Real-World City Traffic Using Multiple Criteria Decision Making · 2011 · Furda, Andrei et al. · archived
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1636. How we can measure the non-driving-task engagement in automated driving: Comparing flow experience and workload ↗ · 2018 · Ko, Sang Min et al. · indexed
1637. Computer-aided design for safe autonomous vehicles ↗ · 2017 · O'Kelly, Matthew et al. · indexed
1638. Supporting anticipation in driving through attentional and interpretational in-vehicle displays ↗ · 2016 · Stahl, Patrick et al. · indexed
1639. The Effects of Inaccurate Traffic Information on Driver Behavior and Acceptance of an Advanced In-Vehicle Traveler Information System · 1998 · Hanowski, RJ et al. · archived
1640. The Driver's Response to Decreasing Vehicle Separations during Transitions into the Automated Lane · 1996 · Bloomfield, John R. et al. · archived
1641. Measuring driving performance by car-following in traffic ↗ · 1994 · BROOKHUIS, KAREL et al. · indexed
1642. Exploring the Schema of Attention and Search Strategy in Different Levels of Situation Awareness under Fall Hazard Conditions ↗ · 2024 · Luo, Yanfang et al. · indexed
1643. Predicting Operator Situation Awareness from Psychophysiological Signals: Utility of Personalized and Universal Models ↗ · 2024 · Zhang, Johnny et al. · indexed
1644. Human interface based on an interaction between driver's capability and task demands ↗ · 2018 · Sato, Toshihisa · indexed
1645. Conditions for a safe state of automated road vehicles ↗ · 2015 · Reschka, Andreas et al. · indexed
1646. Towards a transactional ergonomics for driver stress and fatigue ↗ · 2002 · Matthews, Gerald · indexed
1647. LNet: Lightweight Network for Driver Attention Estimation via Scene and Gaze Consistency ↗ · 2026 · Hu, Daosong et al. · indexed
1648. Towards a Conceptual Model of Users’ Expectations of an Autonomous In-Vehicle Multimodal Experience · 2024 · Ince, Ecem Berfin et al. · archived
1649. Neurophysiological mental fatigue assessment for developing user-centered Artificial Intelligence as a solution for autonomous driving ↗ · 2023 · Giorgi, Andrea et al. · indexed
1650. An Experimental Study of Human Operator Models and Closed-Loop Analysis Methods for High-Speed Automobile Driving ↗ · 1967 · Wierwille, W.W. et al. · indexed
1651. A Modular Multi-Stream Perception and Deterministic Fusion Framework for Takeover Prompting in Autonomous Driving ↗ · 2026 · Thakkar, Vatsal · indexed
1652. Engineering and Hardening of Functional Fail-Operational Architectures for Highly Automated Driving · 2019 · Adler, Rasmus et al. · archived
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1654. Data-Driven Online Estimation of Driver Model Parameters for Vehicle Trajectory Prediction ↗ · 2024 · Fischer, Johannes et al. · indexed
1655. Context-Adaptive Management of Drivers’ Trust in Automated Vehicles · 2020 · Azevedo-Sa, Hebert et al. · archived
1656. Driver Logo Sign Detection and Hazard Responses during Partially Automated Driving ↗ · 2020 · Cauffman, Stephen J. et al. · indexed
1657. Prediction of Driver's Cognitive Workload using Cognitive Architecture : ACT-R · 2012 · Lim, Soo-Yong et al. · archived
1658. Evaluating situation awareness of autonomous systems ↗ · 2008 · Gehrke, Jan D. · indexed
1659. Gaze entropy metrics for mental workload estimation are heterogenous during hands-off level 2 automation ↗ · 2024 · Goodridge, Courtney M. et al. · indexed
1660. An Agent Infrastructure For the Human Driver Assistant ↗ · 2013 · Diaconescu, Eugen et al. · indexed
1661. The Interface Challenge for Partially Automated Vehicles: How Driver Characteristics Affect Information Usage Over Time ↗ · 2022 · Ulahannan, Arun et al. · indexed
1662. The Effects of Driver’s Trust in Adaptive Cruise Control and Traffic Density on Workload and Situation Awareness ↗ · 2020 · Kwon, Soon-Chan et al. · indexed
1663. Is vehicle automation enough to prevent crashes? Role of traffic operations in automated driving environments for traffic safety ↗ · 2017 · Jeong, Eunbi et al. · indexed
1664. Toward Defining Driving Automation from a Human-Centered Perspective ↗ · 2017 · Yang, Ji Hyun et al. · indexed
1665. Investigating Differences in Behavior and Brain in Human-Human and Human-Autonomous Vehicle Interactions in Time-Critical Situations · 2022 · Unni, Anirudh et al. · archived
1666. Evaluation of Ambient Light Displays for Requests to Intervene and Minimal Risk Maneuvers in Highly Automated Urban Driving ↗ · 2020 · Feierle, Alexander et al. · indexed
1667. Predicting Takeover Performance in Conditionally Automated Driving ↗ · 2020 · Du, Na et al. · indexed
1668. Decision-Making Framework for Automated Driving in Highway Environments ↗ · 2018 · Noh, Samyeul et al. · indexed
1669. Acting or Reacting? A Cognitive Work Analysis Approach to the Train Driver Task ↗ · 2017 · Jansson, Anders et al. · indexed
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1671. An approach to organizing the transition of vehicle control from an automated driving system to a person ↗ · 2020 · Dubovsky, V. A. et al. · indexed
1672. An Ultra-Low-Cost Moving-Base Driving Simulator · 2001 · Sheridan, Thomas B. et al. · archived
1673. Agent Transparency, Situation Awareness, Mental Workload, and Operator Performance: A Systematic Literature Review ↗ · 2022 · van de Merwe, Koen et al. · indexed
1674. Driver Model Based Automated Driving of Long Vehicle Combinations in Emulated Highway Traffic ↗ · 2015 · Nilsson, Peter et al. · indexed
1675. PILOT-DSM: Risk perception-aligned takeover prompting framework via coverage-gap assessment in conditionally automated driving ↗ · 2026 · Huang, Yexin et al. · indexed
1676. Exploration of driver stress when resuming control from highly automated driving in an emergency situation · 2023 · Kerautret, Laora et al. · archived
1677. The effects of displaying availability sections of an automated driving function ↗ · 2023 · Danner, Simon et al. · indexed
1678. Modeling take-over performance in level 3 conditionally automated vehicles ↗ · 2017 · Gold, Christian et al. · indexed
1679. Augmented reality based on driving situation awareness in vehicle ↗ · 2015 · Park, Byoung-Jun et al. · indexed
1680. Steering a Driving Simulator Using the Queueing Network-Model Human Processor (QN-MHP) · 2003 · Tsimhoni, Omer et al. · archived
1681. Driver-Perception-Aware Shared Steering Control for Automated Vehicles: Balancing Safety and Comfort ↗ · 2026 · Koritala, Naveen K. et al. · indexed
1682. Predicting driver takeover performance in conditionally automated driving ↗ · 2020 · Du, Na et al. · indexed
1683. Probabilistic field approach for motorway driving risk assessment ↗ · 2020 · Mullakkal-Babu, Freddy A. et al. · indexed
1684. Drivers' Attitudes and Perceptions towards A Driving Automation System with Augmented Reality Human-Machine Interfaces ↗ · 2020 · Wu, Xingwei et al. · indexed
1685. Users’ Understanding of Automated Vehicles and Perception to Improve Traffic Safety –Results from a National Survey · 2019 · AAA Foundation for Traffic Safety · archived
1686. Hazard detection and cognition for an active driving assistance ↗ · 2016 · Rouzier, Baptiste et al. · indexed
1687. A survey on motion prediction and risk assessment for intelligent vehicles · 2014 · Lefèvre, Stéphanie et al. · archived
1688. A Simulation Environment for Analysis and Optimization of Driver Models · 2011 · Benderius, Ola et al. · archived
1689. Driving risk cognition of passengers in highly automated driving based on the prefrontal cortex activity via fNIRS · 2023 · Wang, Hong et al. · archived
1690. The effect of communicational signals on drivers' subjective appraisal and visual attention during interactive driving scenarios ↗ · 2015 · Ba, Yutao et al. · indexed
1691. Effectiveness of advisory warnings based on cooperative perception ↗ · 2015 · Naujoks, Frederik et al. · indexed
1692. AR-CP: Uncertainty-Aware Perception in Adverse Conditions with Conformal Prediction and Augmented Reality For Assisted Driving ↗ · 2024 · Doula, Achref et al. · indexed
1693. Driver Intention Anticipation Based on In-Cabin and Driving Scene Monitoring ↗ · 2020 · Rong, Yao et al. · indexed
1694. How should drivers’ use of Automated Lane Keeping Systems (ALKS) be assessed? A study with experienced driving assessors in a Wizard-of-Oz vehicle ↗ · 2026 · Bazilinskyy, Pavlo et al. · indexed
1695. Recognizing autonomous driving disengagement scenarios using the transferable knowledge from human driver’s EEG cognitive data ↗ · 2025 · Qi, Geqi et al. · indexed
1696. Determination of Takeover Time Budget Based on Analysis of Driver Behavior · 2022 · Tanshi, Foghor et al. · archived
1697. Effect of High-Altitude Environment on Driving Safety: A Study on Drivers’ Mental Workload, Situation Awareness, and Driving Behaviour ↗ · 2020 · Wang, Xinyan et al. · indexed
1698. Improving human-in-the-loop decision making in multi-mode driver assistance systems using hidden mode stochastic hybrid systems ↗ · 2015 · Lam, Chi-Pang et al. · indexed
1699. How are distractibility and hazard prediction in driving related? Role of driving experience as moderating factor ↗ · 2019 · Castro, Candida et al. · indexed
1700. Consumer Information Potpourri: Instructional and Operational Variability Among Passenger Vehicle Automated Systems ↗ · 2019 · Wright, Timothy J. et al. · indexed
1701. Modeling human lane keeping control in highway driving with validation by naturalistic data ↗ · 2014 · Gordon, Tim et al. · indexed
1702. Sleep {middle dot} 5: Driving and automobile crashes in patients with obstructive sleep apnoea/hypopnoea syndrome ↗ · 2004 · George, C. F. · indexed
1703. CGVA: Cognitive Guided Visual Attention Selection in Traffic Driving Environment ↗ · 2025 · Chen, Renjie et al. · indexed
1704. Effects of Marking Automated Vehicles on Human Drivers on Highways · 2020 · Fuest, Tanja et al. · archived
1705. Examining the impacts of drivers’ emotions on takeover readiness and performance in highly automated driving · 2019 · Ayoub, Jackie et al. · archived
1706. Does Adaptive Mode Transition Contribute to Better Driver Intervention in Highly Automated Driving? ↗ · 2019 · Zhou, Huiping et al. · indexed
1707. Evaluating Autonomous Vehicle Safety Countermeasures in Freeways Under Sun Glare ↗ · 2025 · Esmaeeli, Hamed et al. · indexed
1708. Extracting Features from Driving Scenarios for Driving Workload Level Classification - A Case Study of Transfer Learning ↗ · 2021 · Liu, Yongkang et al. · indexed
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1710. Predicting Driver Takeover Performance in Conditional Automation (Level 3) through Physiological Sensing · 2024 · Deng, Min et al. · archived
1711. Drivers’ Ability to Engage in a Non-Driving Related Task While in Automated Driving Mode in Real Traffic ↗ · 2020 · Klingegard, Maria et al. · indexed
1712. A driver model for vehicle lateral dynamics ↗ · 2011 · Moon, Chulwoo et al. · indexed
1713. Prefrontal Correlates of Passengers’ Mental Activity Based on fNIRS for High-Level Automated Vehicles · 2024 · Zhang, Xiaofei et al. · archived
1714. Take-Over Safety Evaluation of Conditionally Automated Vehicles under Typical Highway Segments ↗ · 2023 · Li, Yi et al. · indexed
1715. Visual-Manual Distraction Detection Using Driving Performance Indicators With Naturalistic Driving Data ↗ · 2018 · Li, Zhaojian et al. · indexed
1716. Driver-initiated take-overs during critical braking maneuvers in automated driving – The role of time headway, traction usage, and trust in automation ↗ · 2022 · Becker, Sandra et al. · indexed
1717. Examining the impacts of drivers' emotions on takeover readiness and performance in highly automated driving · 2019 · Du, Na et al. · archived
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1719. New Results in Driver Steering Control Models ↗ · 1977 · McRuer, Duane T. et al. · indexed
1720. Predicting Driver’s Transition Time to a Secondary Task Given an in-Vehicle Alert ↗ · 2022 · Hwang, Steven et al. · indexed
1721. Traffic Safety through Driver Assistance and Intelligence ↗ · 2011 · Bubb, Heiner · indexed
1722. A FUZZY LOGIC MODEL OF FREEWAY DRIVER BEHAVIOR ↗ · 1999 · Das, Sanhita · indexed
1723. How can level of trust in conditional driving automation vehicles be improved? Road condition feedback strategies and the mediating role of anxiety ↗ · 2024 · Sun, Qi et al. · indexed
1724. Scenario Fidelity and Perceived Driver Mental Workload: Can Workload Assessment be Crowdsourced? ↗ · 2023 · Jiang, Haoyan et al. · indexed
1725. Statistical Threat Assessment for General Road Scenes Using Monte Carlo Sampling ↗ · 2008 · Eidehall, Andreas et al. · indexed
1726. How Are Situation Picture, Situation Awareness, and Situation Understanding Discussed in Recent Scholarly Literature? ↗ · 2019 · Tikanmäki, Ilkka et al. · indexed
1727. Explanation Needs in Automated Driving: Insights from German Driving Education and Vehicle Acquisition ↗ · 2024 · Manger, Carina et al. · indexed
1728. Training benefits driver behaviour while using automation with an attention monitoring system ↗ · 2024 · DeGuzman, Chelsea A. et al. · indexed
1729. Impact of Partially Automated Driving Functions on Forensic Accident Reconstruction: A Simulator Study on Driver Reaction Behavior in the Event of a Malfunctioning System Behavior ↗ · 2023 · Paula, Daniel et al. · indexed
1730. Teaming with Your Car: Redefining the Driver–Automation Relationship in Highly Automated Vehicles ↗ · 2022 · Lee, Joonbum et al. · indexed
1731. Occlusion-Aware Risk Assessment for Autonomous Driving in Urban Environments · 2019 · Yu, Ming-Yuan et al. · archived
1732. Comparing datasets for generalizing models of driver intent in dynamic environments ↗ · 2016 · Driggs-Campbell, Katherine et al. · indexed
1733. Do you know what's going on? - Examining Situation Awareness for Different Communication Concepts of an E-Cargo Bike Autonomous Parking Function ↗ · 2024 · Liehr, Dorothea et al. · indexed
1734. Review of Automated Vehicle Technology: Policy and Implementation Implications · 2016 · McGehee, Daniel V. et al. · archived
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1737. The impact of automated planning aids on situation awareness and workload in the monitoring of uncrewed vehicles ↗ · 2024 · Barnhart, Grace et al. · indexed
1738. Car-following behavioural adaptation when driving next to automated vehicles on a dedicated lane on motorways: A driving simulator study in the Netherlands · 2021 · Schoenmakers, Mathijs et al. · archived
1739. Communication and Communication Problems Between Autonomous Vehicles and Human Drivers · 2016 · Färber, Berthold · archived
1740. Experimental investigation of the multianticipation mechanism in commercial SAE level 2 automated driving vehicles and associated safety impact ↗ · 2024 · Donà, Riccardo et al. · indexed
1741. Designing for Prediction-Level Collaboration Between a Human Driver and an Automated Driving System ↗ · 2021 · Wang, Chao et al. · indexed
1742. Modelling of the system “driver - automation - autonomous vehicle - road” ↗ · 2020 · Koralewski, Grzegorz · indexed
1743. Extensions for the Foresighted Driver Model: Tactical lane change, overtaking and continuous lateral control ↗ · 2016 · Damerow, Florian et al. · indexed
1744. Keep Your Scanners Peeled ↗ · 2016 · Hergeth, Sebastian et al. · indexed
1745. Response to Emergency Vehicles When Driving in a Mixed Vehicle Fleet · 2024 · Sanchez, Robert et al. · archived
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1748. Haptic Assistive Control With Learning-Based Driver Intent Recognition for Semi-Autonomous Vehicles ↗ · 2023 · Wang, Chengshi et al. · indexed
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1750. Human-Autonomy Teams: Driver Simulator Experiments for Level 3 Automated Driving Systems ↗ · 2026 · Correa-Jullian, Camila et al. · indexed
1751. Differences in drivers’ dependence on AR warning information in urban driving environments: the role of driving experience · 2025 · Huo, Faren et al. · archived
1752. A novel study on subjective driver readiness in terms of non-driving related tasks and take-over performance ↗ · 2022 · Kim, Jungsook et al. · indexed
1753. Minding the Gap: Effects of an Attention Maintenance Training Program on Driver Calibration ↗ · 2020 · Unverricht, James et al. · indexed
1754. Analysis and Adaptive Estimation of Human Car Following Behavior for Advanced Driver Assistance Systems ↗ · 2017 · Schmied, Roman et al. · indexed
1755. A Pilot Study Verifying How the Curve Information Impacts on the Driver Performance with Cognition Model ↗ · 2013 · Zhao, Xiaohua et al. · indexed
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1758. Context–aware assistive driving: an overview of techniques for mitigating the risks of driver in real-time driving environment ↗ · 2021 · Gite, Shilpa et al. · indexed
1759. Using Naturalistic Data to Develop Simulator Scenarios · 2017 · Gaspar, John et al. · archived
1760. Measurement and Real-Time Recognition of Driver Trust in Conditionally Automated Vehicles: Using Multimodal Feature Fusions Network ↗ · 2023 · Yi, Binlin et al. · indexed
1761. Functional Safety Assessment of a Generic Automated Lane Centering System and Related Foundational Vehicle Systems · 2018 · Brewer, John et al. · archived
1762. Driver Behavior Modeling: Developments and Future Directions ↗ · 2016 · AbuAli, Najah et al. · indexed
1763. A Full Driving Simulator of Urban Traffic including Traffic Accidents ↗ · 2007 · Mindán, Jesús Félez et al. · indexed
1764. XGBoost-DNN Mixed Model for Predicting Driver’s Estimation on the Relative Motion States during Lane-Changing Decisions: A Real Driving Study on the Highway ↗ · 2022 · Zhao, Chen et al. · indexed
1765. Using the Driving Behavior of an Automated Vehicle to Communicate Intentions - A Wizard of Oz Study ↗ · 2018 · Fuest, Tanja et al. · indexed
1766. Risk Status Identification During the Takeover of Conditionally Automated Vehicles ↗ · 2020 · Peng, Mao et al. · indexed
1767. Drivers Fail to Calibrate to Optic Flow Speed Changes During Automated Driving ↗ · 2019 · Mole, Callum et al. · indexed
1768. Situation Awareness, Mental Workload, and Trust in Automation: Viable, Empirically Supported Cognitive Engineering Constructs ↗ · 2008 · Parasuraman, Raja et al. · indexed
1769. Multimodal contextual car-driver interface ↗ · 2003 · Siewiorek, D. et al. · indexed
1770. A Driver Direction Control Model and its Application in the Simulation of Driver-Vehicle-Road Closed-Loop System ↗ · 2000 · Guan, Hsin et al. · indexed
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1772. Improvement and Calibration of Driving Safety Field Model: Resolving Risk Characterization Mismatches ↗ · 2026 · Hu, Yanting et al. · indexed
1773. Do we trust automated vehicles? A driving simulator study · 2024 · De, Giulia et al. · archived
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1775. Towards a Characterization of Safe Driving Behavior for Automated Vehicles Based on Models of “Typical” Human Driving Behavior ↗ · 2020 · Tejada, Arturo et al. · indexed
1776. Comparing Speed Estimations from a Moving Vehicle in Different Traffic Scenarios: Absence versus Presence of Traffic Flow · 2006 · Conchillo, Ángela et al. · archived
1777. Training Drivers in Advanced Driver Assistance Systems: How Training Content Shapes Driver Knowledge, Decision-Making, and Performance ↗ · 2026 · Kim, Ruby Yeeun et al. · indexed
1778. <p><span>The Effects of State of Mind, Traffic Rule Knowledge, And Driving Experience on Safe Driving Behaviour in India: Evidence from Smartphone-Based Naturalistic Driving Data</span></p> ↗ · 2026 · Mathai, Sibi et al. · indexed
1779. S.A.D.E.—A Standardized, Scenario-Based Method for the Real-Time Assessment of Driver Interaction with Partially Automated Driving Systems ↗ · 2022 · Schömig, Nadja et al. · indexed
1780. SOCA: Domain Analysis for Highly Automated Driving Systems ↗ · 2020 · Butz, Martin et al. · indexed
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1782. Predicting Take-over Time for Autonomous Driving with Real-World Data:\n Robust Data Augmentation, Models, and Evaluation · 2021 · Rangesh, Akshay et al. · archived
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1784. Perception Enhancement and Improving Driving Context Recognition of an Autonomous Vehicle Using UAVs · 2022 · Khezaz, Abderraouf et al. · archived
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1786. Automated driving and autonomous functions on road vehicles ↗ · 2015 · Gordon, T.J. et al. · indexed
1787. Design and evaluation of an advanced driver assistance system: the case of auto-adaptive cruise control · 2006 · Tricot, N. et al. · archived
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1789. Driver Alertness and Awareness Monitoring System ↗ · 2023 · Raja, Vedanth et al. · indexed
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1792. Developing a Standardized Performance Evaluation of Vehicles with Automated Driving Features · 2019 · Basantis, Alexis et al. · archived
1793. Adaptive driver modelling in ADAS to improve user acceptance: A study using naturalistic data · 2018 · Fleming, James M. et al. · archived
1794. Identification of a Driver Steering Model, and Model Uncertainty, From Driving Simulator Data ↗ · 2001 · Chen, Liang-Kuang et al. · indexed
1795. Automated Vehicles vs. Human Drivers: Modeling Driving Behavior Using Data from Field Experiments ↗ · 2024 · Li, Pei et al. · indexed
1796. Quantitative Estimation of Driver Cognitive Workload: A Dual-Stage Learning Approach ↗ · 2024 · Zhu, Jieyu et al. · indexed
1797. Emotion-Aware Takeover Performance Prediction System in Semi-Autonomous Driving ↗ · 2023 · Wang, Yantong et al. · indexed
1798. Are Vision LLMs Road-Ready? A Comprehensive Benchmark for Safety-Critical Driving Video Understanding · 2025 · Zeng, Tong et al. · archived
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1800. 0193 Sleepiness and Slow Rolling Eye Movements are Increased During Autonomous Versus Manual Driving ↗ · 2019 · Wong, Lily R et al. · indexed
1801. Driver Acceptance of Connected, Automation-Assisted Cruise Control : Experiment 1 · 2018 · Inman, Vaughan W. et al. · archived
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1803. Do driver’s characteristics, system performance, perceived safety, and trust influence how drivers use partial automation? A structural equation modelling analysis · 2023 · Nordhoff, Sina et al. · archived
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1805. Hybrid Steering Model depending on Driver's Gazing Point to detect inattentive driving using Machine Learning ↗ · 2019 · Honda, Takuya et al. · indexed
1806. In a heart beat: Using driver’s physiological changes to determine the quality of a takeover in highly automated vehicles ↗ · 2019 · Alrefaie, Mohamed Taher et al. · indexed
1807. Cognitive Cars: A New Frontier for ADAS Research ↗ · 2011 · Li, Li et al. · indexed
1808. Situation Awareness ↗ · 2006 · Endsley, Mica R. · indexed
1809. Advanced Driver Assistance Systems and Emotion-based Driver Behavior · 2025 · Waters, Anthony et al. · archived
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1814. B-61Predicting Attentional Mistakes on STISIM Driving Simulator with Measures of Executive Functioning and Attention ↗ · 2016 · Lowry, B et al. · indexed
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1816. The Effects of Landmark Salience on Drivers’ Spatial Cognition and Takeover Performance in Autonomous Driving Scenarios ↗ · 2025 · Liu, Xianyun et al. · indexed
1817. Exploring Heterogeneity in Car-Following Behaviors Based on Driver Visual Characteristics: Modeling and Calibration ↗ · 2023 · Bai, Congcong et al. · indexed
1818. Study of the population in terms of knowledge about the distance between vehicles in motion ↗ · 2021 · Krzysztof, Olejnik · indexed
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1822. Adaptive Driver State Monitoring with Temporal Reasoning and Risk Estimation for Safe Transportation ↗ · 2026 · Yar, Hikmat et al. · indexed
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1824. Human-Vehicle Cooperation on Prediction-Level: Enhancing Automated Driving with Human Foresight ↗ · 2021 · Wang, Chao et al. · indexed
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1827. Queuing Network Modeling of Driver Workload and Performance ↗ · 2006 · Wu, Changxu et al. · indexed
1828. Human-Automation Interaction Design for Adaptive Cruise Control Systems of Ground Vehicles ↗ · 2015 · Eom, Hwisoo et al. · indexed
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1830. Gated Driver Attention Predictor ↗ · 2023 · Zhao, Tianci et al. · indexed
1831. Driving Automation System Test Scenario Development Process Creation and Software-in-the-Loop Implementation ↗ · 2021 · Patil, Mayur et al. · indexed
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1834. ERGONOMICS OF THE DRIVER'S INTERFACE WITH THE ROAD ENVIRONMENT: THE CONTRIBUTION OF PSYCHOLOGICAL RESEARCH ↗ · 2002 · Saad, Fathinul Syahir Ahmad · indexed
1835. A Prototypical Expert-Driven Approach Towards Capability-Based Monitoring of Automated Driving Systems ↗ · 2024 · Schubert, Richard et al. · indexed
1836. Electroencephalography Sample Entropy of Driver Passive Fatigue Threshold in Automated Driving · 2021 · Zhang, Yijing et al. · archived
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1841. Mode confusion in driver interfaces for adaptive cruise control systems ↗ · 2014 · Lee, Sang Hun et al. · indexed
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1847. World model-based long-tail and scenario-specific generation for autonomous driving · 2026 · Zhang, Cong et al. · archived
1848. Towards Sustainable Safe Driving: A Multimodal Fusion Method for Risk Level Recognition in Distracted Driving Status ↗ · 2023 · Chen, Huiqin et al. · indexed
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1861. Drivers' Ratings of Different Components of Their Own Driving Skill: A Greater Illusion of Superiority for Skills That Relate to Accident Involvement¹ ↗ · 2004 · Horswill, Mark S. et al. · indexed
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1863. Perception Sharing for Cooperative Driving Automation (CDA) · 2025 · NHTSA · archived
1864. Classification of Level 2 Driving Automation Events Observed on Public Roads – Part 2 · 2021 · Snyder, Andrew C. et al. · archived
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1866. Multitasking Driver Cognitive Behavior Modeling ↗ · 2006 · Liu, Yanfei et al. · indexed
1867. I Know You Can't See Me: Dynamic Occlusion-Aware Safety Validation of Strategic Planners for Autonomous Vehicles Using Hypergames · 2022 · Kahn, Maximilian et al. · archived
1868. Mind over motor mapping: Driver response to changing vehicle dynamics ↗ · 2018 · Bruno, Jennifer L. et al. · indexed
1869. Advanced Driver Assistance Systems in the Driver Training System in Hungary · 2025 · Ötvös, Viktoria et al. · archived
1870. Deep InSight: A Driver-State Estimation Platform for Processing Naturalistic Driving Data · 2024 · Sharma, Anuj et al. · archived
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1872. Explainable Driver Activity Recognition Using Video Transformer in Highly Automated Vehicle ↗ · 2023 · Sonth, Akash et al. · indexed
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1875. Data-Driven Traffic Simulation: A Comprehensive Review · 2024 · Chen, Di et al. · archived
1876. ProLab 2: a driving assistance system ↗ · 2002 · Rombaut, M. · indexed
1877. Causal Models to Support Scenario-Based Testing of ADAS · 2023 · Maier, Robert et al. · archived
1878. The Effects of Vehicle Level Of Automation and Warning Type on Responses to Vehicle Hacking ↗ · 2019 · McManus, Wyatt et al. · indexed
1879. THE INFLUENCE OF RISK ON DRIVER TRUST IN AUTONOMOUS DRIVING SYSTEMS · 2018 · Petersen, Luke et al. · archived
1880. Evaluating Autonomous Vehicles’ Safety Benefits in Mixed Autonomy Scenarios · 2024 · Joe-Wong, Carlee et al. · archived
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1882. Functional safety analysis of SAE conditional driving automation in time-critical situations and proposals for its feasibility ↗ · 2020 · Hirose, Takayuki et al. · indexed
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1887. A Taxonomy for Quality in Simulation-Based Development and Testing of Automated Driving Systems · 2022 · Schutt, Barbara et al. · archived
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1891. Human Driver Model and Driver Decision Making for Intersection Driving ↗ · 2007 · Liu, Yiting et al. · indexed
1892. Explaining Takeover Requests: The Role of Hazard Type and Explanation Strategy in Conditionally Automated Driving ↗ · 2025 · Jeong, Subin et al. · indexed
1893. Driving Capability, a Unified Driver Model for ADAS ↗ · 2022 · Sun, Bohua et al. · indexed
1894. AI Co-Driver and AR Integration for Dynamic Emergency Navigation and Collision Avoidance · 2026 · Charissis, Vassilis et al. · archived
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1911. Assessing Drivers’ Trust in Automated Driving Systems: An Integrated Study · 2022 · Zhang, Yu et al. · archived
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1917. Importance of Instruction for Pedestrian-Automated Driving Vehicle Interaction with an External Human Machine Interface: Effects on Pedestrians' Situation Awareness, Trust, Perceived Risks and Decision Making ↗ · 2021 · Liu, Hailong et al. · indexed
1918. Impact of Level 3 Automated Driving Technology on Road Work Zone Safety · 2026 · Xu, Zhepu et al. · archived
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1920. Integrated driving risk surrogate model and car-following behavior for freeway risk assessment ↗ · 2024 · Wu, Renfei et al. · indexed
1921. Decision of Driver Intention of a Surrounding Vehicle Using Hidden Markov Model with Optimizing Parameter Estimation ↗ · 2020 · Yang, Jin Ho et al. · indexed
1922. Analysis of driver roles: modelling the changing role of the driver in automated driving systems using EAST ↗ · 2019 · Banks, Victoria A. et al. · indexed
1923. A Comprehensive Survey of Driving Monitoring and Assistance Systems ↗ · 2019 · Khan, Muhammad Qasim et al. · indexed
1924. Expert Driver Modeling in Highway Merging Based on Dynamic Risk Potential ↗ · 2019 · SATO, Daisuke et al. · indexed
1925. The Attentive Co-Pilot: Towards a Proactive Biologically-Inspired Advanced Driver Assistance System ↗ · 2011 · Michalke, T. et al. · indexed
1926. An interactive driver assistance system monitoring the scene in and out of the vehicle ↗ · 2004 · Petersson, Lars et al. · indexed
1927. Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques · 2024 · Furht, Borko · archived
1928. European NCAP Program Developments to Address Driver Distraction, Drowsiness and Sudden Sickness ↗ · 2021 · Fredriksson, Rikard et al. · indexed
1929. Driver drowsiness in automated and manual driving ↗ · 2020 · Kundinger, Thomas et al. · indexed
1930. Automated Driving – Assessment of Interaction Concepts Under Real Driving Conditions ↗ · 2015 · Albert, Martin et al. · indexed
1931. Perception Sharing for Cooperative Driving Automation (CDA) · 2024 · NHTSA · archived
1932. Impacts of countermeasures on driving performance through drivers' attention in rural curves: a driving simulation study ↗ · 2023 · Wu, Hongyue et al. · indexed
1933. Analysis of Situational Awareness for Online Taxibike Driver in Yogyakarta Using QUASA Analysis ↗ · 2020 · Ma'ruf, Farid et al. · indexed
1934. Presenting system uncertainty in automotive UIs for supporting trust calibration in autonomous driving ↗ · 2013 · Helldin, Tove et al. · indexed
1935. DivNEDS: Diverse Naturalistic Edge Driving Scene Dataset for Autonomous Vehicle Scene Understanding · 2024 · Duah, John Owusu et al. · archived
1936. Developing Analysis, Modeling, and Simulation Tools for Connected and Automated Vehicle Applications · 2021 · Huang, Zhitong et al. · archived
1937. Spatio-Semantic Road Space Modeling for Vehicle–Pedestrian Simulation to Test Automated Driving Systems ↗ · 2020 · Schwab, Benedikt et al. · indexed
1938. Generalizing Predictive Models of Situation Awareness to Unseen Participants ↗ · 2025 · Smith, Kieran J. et al. · indexed
1939. Gaining Situation Awareness through a Vibrotactile Display to Mitigate Motion Sickness in Fully-Automated Driving Cars ↗ · 2020 · Md. Yusof, Nidzamuddin et al. · indexed
1940. Understand driver awareness through brake behavior analysis: Reactive versus intended hard brake ↗ · 2017 · Li, Nanxiang et al. · indexed
1941. Dangerous Situation Recognition Method of Driver Assistance System ↗ · 2006 · Chengwu, Jiao et al. · indexed
1942. First Annual Report: Automotive Collision Avoidance System Field Operational Test · 2002 · NHTSA · archived
1943. Learning Accurate, Comfortable and Human-like Driving · 2019 · Hecker, Simon et al. · archived
1944. Influence of Task Knowledge and Display Features on Driver Attention to Cluttered Navigation Displays ↗ · 2017 · Pankok, Carl et al. · indexed
1945. Sistema Automático Para la Detección de Distracción y Somnolencia en Conductores por Medio de Características Visuales Robustas ↗ · 2017 · Villán, Alberto Fernández et al. · indexed
1946. Microscopic traffic simulation based evaluation of highly automated driving on highways ↗ · 2014 · Bahram, Mohammad et al. · indexed
1947. The impact of intermediate levels of automation on situation awareness and performance in dynamic control systems ↗ · 2002 · Engsley, M.R. et al. · indexed
1948. ON A NEW DRIVER MODEL WITH FUZZY CONTROL ↗ · 1992 · Kageyama, I. et al. · indexed
1949. Inferring Takeover in SAE Level 2 Automated Vehicles Using Driver-Based Behavioral and Psychophysiological Signals ↗ · 2022 · Konishi, Matthew et al. · indexed
1950. Preparing for the Future of Transportation: Automated Vehicles 3.0 · 2018 · NHTSA · archived
1951. Investigating the Effects of Alcohol Consumption on Manual and Automated Driving: A Systematic Review · 2024 · Dong, Miaomiao et al. · archived
1952. Effects of multimodal explanations for autonomous driving on driving performance, cognitive load, expertise, confidence, and trust · 2024 · Kaufman, Robert et al. · archived
1953. Identification of Driver Status Hazard Level and the System ↗ · 2023 · Gong, Jiayuan et al. · indexed
1954. Towards a Viable Autonomous Driving Research Platform · 2019 · Wei, Junqing et al. · archived
1955. Driver State Monitoring Systems– Transferable Knowledge Manual Driving to HAD ↗ · 2015 · Gonçalves, Joel et al. · indexed
1956. Perception of relative distance in a driving simulator^1,2 ↗ · 2005 · BAUMBERGER, BERNARD et al. · indexed
1957. Driver Risk Perception Assessment in Autonomous Takeover Scenarios Under NDRTs Immersion Based on WOA-LightGBM ↗ · 2026 · Duan, Min et al. · indexed
1958. Analysis of the influence of traffic variables on lane change manoeuvres decision-making in real-world traffic scenarios ↗ · 2026 · Sanchez-Mateo, Sofia et al. · indexed
1959. A Two-Point Visual Control Model of Steering ↗ · 2004 · Salvucci, Dario D et al. · indexed
1960. The interactive effects of NDRT cognitive complexity and traffic density on takeover performance in level 3 automated driving: a multimodal EEG and behavioral study ↗ · 2026 · Guo, Qi et al. · indexed
1961. Investigating multilevel cognitive processing within error-free and error-prone feedback conditions in executed and observed car driving ↗ · 2024 · Pulferer, Hannah S. et al. · indexed
1962. Driver behaviour and driver experience of partial and fully automated truck platooning – a simulator study ↗ · 2017 · Hjälmdahl, Magnus et al. · indexed
1963. Fusion-Drive AI: A Real-Time Multimodal Driver and Road Monitoring System ↗ · 2026 · Umasankar, G. · indexed
1964. Are Electrodermal Activity-Based Indicators of Driver Cognitive Distraction Robust to Varying Traffic Conditions and Adaptive Cruise Control Use? · 2025 · Halin, Anaïs et al. · archived
1965. Development of Intelligent Driver Assistant System for Cognitive Cars ↗ · 2022 · Jishma, C. P. et al. · indexed
1966. Visual Attention, Scanning, and Information Sampling ↗ · 2022 · Wickens, C. D. · indexed
1967. Non-Intrusive Driver Condition Monitoring in Highly Automated Vehicles with Medical Information Support for Emergency Calling ↗ · 2019 · Minea, Marius et al. · indexed
1968. Mind Wandering While Driving ↗ · 2015 · Lerner, Neil et al. · indexed
1969. Supporting situation awareness with peripheral feedback on monitoring behavior ↗ · 2014 · Fortmann, Florian et al. · indexed
1970. An embodied and ecological approach to skill acquisition in racecar driving · 2023 · Ziv, Gal · archived
1971. Training and Assessing Hazard Perception in High-Risk Occupations: Toward an AI-Driven Adaptive and Immersive Simulation ↗ · 2026 · Tremblay, Sébastien et al. · indexed
1972. Applying Mambaattention, Tabpfn, and Tabtransformers to Classify Sae Automation Levels in Crashes · 2025 · Das, Subasish et al. · archived
1973. Pilot Situation Awareness Training in General Aviation ↗ · 2000 · Endsley, Mica R. et al. · indexed
1974. IVI human factors strategy · 1999 · Ference, Jack · archived
1975. Risk level assessment of takeover behavior in L3 automated driving under grassland highway scenarios ↗ · 2026 · Guo, Min et al. · indexed
1976. The Influence of the Human Factor on Vigilance in Driving ↗ · 2022 · Buriak, S. Y et al. · indexed
1977. How Driver Monitoring System Effectively Alerts Drivers of Partially Automated Vehicles ↗ · 2022 · Jiang, Wen et al. · indexed
1978. Handling Trust Between Drivers and Automated Vehicles for Improved Collaboration · 2021 · Tilbury, Dawn M. et al. · archived
1979. Effects of Human Adaptation and Trust on Shared Control for Driver-Automation Cooperative Driving ↗ · 2017 · Li, Renjie et al. · indexed
1980. Situation awareness: State of the art ↗ · 2008 · Endsley, Mica R. et al. · indexed
1981. Design Space of Behaviour Planning for Autonomous Driving · 2019 · Ilievski, Marko et al. · archived
1982. Towards Understanding Emotional Reactions of Driver-Passenger Dyads in Automated Driving ↗ · 2018 · Alyuz, Nese et al. · indexed
1983. Three Decades of Driver Assistance Systems: Review and Future Perspectives ↗ · 2014 · Bengler, Klaus et al. · indexed
1984. Investigating driver responses to automated vehicles in a bottleneck scenario: The impact of lateral offset and eHMI ↗ · 2025 · Li, Yang et al. · indexed
1985. Effects of Vehicle Automation and Cooperative Driving Messaging on Driver Behavior When Passing a Bicyclist on a Shared Roadway · 2024 · Sanchez, Robert et al. · archived
1986. Driver steering behavior model based on lane-keeping characteristics analysis ↗ · 2014 · Jieyun Ding et al. · indexed
1987. Modeling and Recognition of Driving Behavior Based on Stochastic Switched ARX Model ↗ · 2007 · Sekizawa, S. et al. · indexed
1988. Identification of Hazardous Driving Scenarios Using Cross-Channel Safety Performance Indicators ↗ · 2025 · Hanselaar, C.A.J. et al. · indexed
1989. A study of the influence of AR on the perception, comprehension and projection levels of situation awareness ↗ · 2023 · Truong-Allié, Camille et al. · indexed
1990. Formalizing Human Machine Communication in the Context of Autonomous Vehicles · 2020 · Gopalswamy, Swaminathan et al. · archived
1991. Situation Awareness and Automation in the Electric Grid Control Room ↗ · 2015 · Stevens-Adams, Susan et al. · indexed
1992. Driver Distraction: Mechanisms, Evidence, Prevention, and Mitigation ↗ · 2022 · Regan, Michael A. et al. · indexed
1993. Racing Driver Modeling Based on Driving Behavior ↗ · 2021 · Wang, Jinzhen et al. · indexed
1994. Monitoring Driver States in an Adaptive Approach to In-Vehicle Risk-Level Communication ↗ · 2011 · Breugelmans, Jeffrey et al. · indexed
1995. Situation Awareness Requirements for Infantry Platoon Leaders ↗ · 2004 · Matthews, Michael D. et al. · indexed
1996. Providing Explainability in Safety-Critical Automated Driving Situations through Augmented Reality Windshield HMIs ↗ · 2023 · Manger, Carina et al. · indexed
1997. Making Driving Simulators More Useful for Behavioral Research: Simulator Characteristics Comparison and Model-Based Transformation, Summary Report · 2015 · Philips, Brian H. et al. · archived
1998. Autonomous Ground Vehicles—Concepts and a Path to the Future ↗ · 2012 · Luettel, Thorsten et al. · indexed
1999. Lateral Control in a Driving Simulator: Correlations with Neuropsychological 
Tests and On-Road Safety Errors ↗ · 2011 · Johnson, Amy et al. · indexed
2000. An adaptive lateral preview driver model ↗ · 2005 · Ungoren, AY et al. · indexed
2001. Measurement and Interpretation of Driver Steering Behavior and Performance ↗ · 1973 · Weir, David H. et al. · indexed
2002. Studying the Capabilities of Neural Networks for Adaptive Driver Assistance Systems ↗ · 2023 · Tynyanyy, A. G. et al. · indexed
2003. Comparing eye-tracking metrics of mental workload caused by NDRTs in semi-autonomous driving ↗ · 2022 · Chen, Weiya et al. · indexed
2004. A Simulator Study on Drivers’ Response and Perception Towards Vehicle Cyberattacks ↗ · 2019 · Zhang, Fangda et al. · indexed
2005. Auditory Hazard Notifications in Intelligent Cockpits: The Impacts on Driver Trust and Workload during Automated Driving ↗ · 2024 · Su, Yizi et al. · indexed
2006. Simulator evaluation of an intersection maneuver assist system with connected and automated vehicle technologies ↗ · 2022 · Pradhan, Anuj K. et al. · indexed
2007. Detailed Concept of Operations: Transportation Systems Management and Operations/Cooperative Driving Automation Use Cases and Scenarios · 2020 · Nallamothu, Sudhakar et al. · archived
2008. Are Unskilled Drivers Aware of their Deficiencies? How Driving Skills Influence the Accuracy of Driving Performance Estimates ↗ · 2009 · Kidd, David G. et al. · indexed
2009. An approach to situation awareness (SA) assessment in flight simulation: SA dynamic circulation (SADC) model ↗ · 2021 · Feng, Chuanyan et al. · indexed
2010. Driver alertness monitoring techniques: a literature review ↗ · 2008 · Culp, J. et al. · indexed
2011. Classification of advanced driver assistance systems according to their impact on mental workload ↗ · 2024 · Liebherr, Magnus et al. · indexed
2012. Situation awareness training as a prerequisite for handling complexity in Human-autonomy teaming: Demonstration and experiment proposal ↗ · 2024 · Stensrud, Rune et al. · indexed
2013. GA-XGBoost Driving Distraction State Classification Model Based on Non-Driving Related Tasks ↗ · 2022 · Bai, Yajie et al. · indexed
2014. Driver Lane Change Intention Inference for Intelligent Vehicles: Framework, Survey, and Challenges ↗ · 2019 · Xing, Yang et al. · indexed
2015. Intelligent situation awareness based on the fractal dimension and multidimensional reconstruction ↗ · 2023 · Wang, Peiyuan et al. · indexed
2016. Adaptive Individual-Level Cognitive Driving Anomaly Detection Model Exclusively Using BSMs ↗ · 2023 · Wu, Di et al. · indexed
2017. Driver and pedestrian awareness-based collision risk analysis ↗ · 2016 · Roth, Markus et al. · indexed
2018. Automated driving aids ↗ · 2013 · Heymann, Michael et al. · indexed
2019. Theoretical analysis of security warnings in vehicles and design challenges for the evaluation of security warnings in virtual environments ↗ · 2010 · Tuchscheerer, Sven et al. · indexed
2020. A 3-level driver model and its application to driving simulations ↗ · 1999 · Plöchl, Manfred et al. · indexed
2021. Online intention recognition applied to real simulated driving maneuvers · 2020 · Deng, Qi et al. · archived
2022. What’s in a name? Drivers’ perceptions of the use of five SAE Level 2 driving automation systems ↗ · 2020 · Teoh, Eric R. · indexed
2023. Advances in Human-Machine Systems for In-Vehicle Environments: Noise and Cognitive Stress/Distraction ↗ · 2011 · Hansen, John H.L. et al. · indexed
2024. eHMI on the Vehicle or on the Infrastructure? A Driving Simulator Study ↗ · 2024 · Lingam, Shiva Nischal et al. · indexed
2025. Automated vehicle-involved traffic flow studies: A survey of assumptions, models, speculations, and perspectives ↗ · 2021 · Yu, Haiyang et al. · indexed
2026. How internal and external risks affect the relationships between trust and driver behavior in automated driving systems · 2021 · Tilbury, Dawn M. et al. · archived
2027. Effects of Cognitive Load and Anticipation on Driver Responses to a Critical Traffic Event ↗ · 2018 · Engström, Johan et al. · indexed
2028. Multimodal Priming of Drivers for a Cooperative Take-Over ↗ · 2018 · Kalb, Luis et al. · indexed
2029. Improving Situation Awareness with a Traffic Management Portal ↗ · 2015 · Staley, Amanda M. et al. · indexed
2030. Lane change intent prediction for driver assistance: On-road design and evaluation ↗ · 2011 · Morris, Brendan et al. · indexed
2031. A kind of cognitive driver assistance system with adaptive authority adjusting ↗ · 2009 · Xiaoming Zhang et al. · indexed
2032. Personalized Classification of Scenario-Derived Operational Driver-State Classes from Non-Intrusive Wearable Signals in Real-World SAE Level 2 Automated Driving ↗ · 2026 · Fernandez-Matellan, Raul et al. · indexed
2033. Advancements and Insights in Assessing Cognitive Load During Driving: A Comprehensive Narrative Review ↗ · 2026 · Zhang, Peijiang et al. · indexed
2034. Consumer Education and Training for Vehicle Automation: Outcomes from an Expert Workshop · 2024 · AAA Foundation for Traffic Safety · archived
2035. Safety Assurance System Utilizing Visual Attention for Advanced Driver-Assistance Systems · 2023 · Jing, Haoming et al. · archived
2036. A comparison of computational driver models using naturalistic and test-track data from cyclist-overtaking manoeuvres ↗ · 2020 · Kovaceva, Jordanka et al. · indexed
2037. Transferability of Car-Following Models Between Driving Simulator and Field Traffic · 2017 · Papadimitriou, Stavros et al. · archived
2038. A Presence Questionnaire for Understanding the Driving Simulator Experience ↗ · 2022 · Burnett, Gary et al. · indexed
2039. Modeling drivers' risk feelings in automated driving control ↗ · 2018 · NAKANO, Takahiro et al. · indexed
2040. Design of automation for telerobots and the effect on performance, operator situation awareness, and subjective workload ↗ · 2000 · Kaber, David B. et al. · indexed
2041. Quantitative Study on Road Traffic Environment Complexity under Car-Following Condition ↗ · 2022 · Liu, Wenlong et al. · indexed
2042. Highway Chauffeur: state of the art and future evaluations : Implementation scenarios and impact assessment ↗ · 2018 · Luca, Studer et al. · indexed
2043. Assisting Drivers with Ambient Take-Over Requests in Highly Automated Driving ↗ · 2016 · Borojeni, Shadan Sadeghian et al. · indexed
2044. Phase II Driver Survey Report: Volvo Intelligent Vehicle Initiative Field Operational Test · 2004 · NHTSA · archived
2045. Cooperative and Interaction‐Aware Driver Model for Lane Change Manoeuvre ↗ · 2026 · Woo, Jemin et al. · indexed
2046. Cognitive selection of driving automation levels in highly automated vehicles leveraging on Bayesian networking principles ↗ · 2022 · Panagiotopoulos, Ilias et al. · indexed
2047. Unsupervised Patterns of Driver Mental Fatigue State Based on Head Posture Using Gaussian Mixture Model ↗ · 2020 · Ansari, Shahzeb et al. · indexed
2048. Driver Adaptation to Partially Automated Driving in Urban Environments: Effects of Repeated Exposure and System Capabilities on Drivers’ Trust, Monitoring, and Response ↗ · 2026 · Nkusi, Elena Malaika et al. · indexed
2049. 0-7033: Defining Operational Design Domains (ODDs) for the Safe Blending of Levels 0-4 Connected and Autonomous Vehicles (CAVs) in the Traffic Streams · 2023 · Chin, Kristie et al. · archived
2050. Smart Diagnosis: Deep Learning Boosted Driver Inattention Detection and Abnormal Driving Prediction ↗ · 2022 · Jiang, Landu et al. · indexed
2051. Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys · 2022 · Chen, Long et al. · archived
2052. Human Factors Issues regarding Driver Assisted and Automated Driving: What Can Be Seen from Comparison between Aircraft and Automobile Automation ↗ · 2020 · Inagaki, Toshiyuki et al. · indexed
2053. Vehicle Owners’ Experiences with and Reactions to Advanced Driver Assistance Systems · 2018 · AAA Foundation for Traffic Safety · archived
2054. Change Detection Performance Under Divided Attention with Dynamic Driving Scenarios ↗ · 2005 · Lee, Yi-Ching et al. · indexed
2055. Modelling and simulation of (connected) autonomous vehicles longitudinal driving behavior: A state‐of‐the‐art ↗ · 2023 · Sadid, Hashmatullah et al. · indexed
2056. Behavioral adaptation in mixed traffic: the roles of AV penetration rate and human driving style ↗ · 2026 · Chen, Haitao et al. · indexed
2057. Driver Inattention Detection Using a Hybrid Vision Transformer and BiLSTM ↗ · 2026 · Teja, Devanaboyina Manikanta et al. · indexed
2058. Steering behavior model of drivers on driving simulator through visual information ↗ · 2016 · Suzaki, Tomohito et al. · indexed
2059. Driver–Vehicle–Environment monitoring for on-board driver support systems: Lessons learned from design and implementation ↗ · 2010 · Amditis, Angelos et al. · indexed
2060. A Review of Methods for Predicting Driver Take-Over Time in Conditionally Automated Driving ↗ · 2025 · Wu, Haoran et al. · indexed
2061. Train here, drive there: ROS based end-to-end autonomous-driving pipeline validation in CARLA simulator using the NHTSA typology · 2021 · Gómez-Huélamo, Carlos et al. · archived
2062. Safety Assessment of Adjacent Roads Sections via Maximum Entropy Driver's Perception Field · 2020 · Kulbashna, Nadiia et al. · archived
2063. Using a Situational Awareness Display to Improve Rider Trust and Comfort with an AV Taxi ↗ · 2019 · Chang, Chun-Cheng et al. · indexed
2064. Bayesian environment representation, prediction, and criticality assessment for driver assistance systems ↗ · 2017 · Schreier, Matthias · indexed
2065. Field Deployment to Quantify the Value of Real-Time Information by Integrating Driver Routing Decisions and Route Assignment Strategies · 2014 · Song, Dongyoon et al. · archived
2066. When does the driver feel ready to drive again after automated driving? – A qualitative approach ↗ · 2021 · Scatturin, Lara et al. · indexed
2067. PROUD-Public road urban driverless test: Architecture and results · 2014 · Broggi, Alberto et al. · archived
2068. Situation awareness in the automated glass-cockpit ↗ · 2003 · Ishibashi, A. · indexed
2069. Level of automation effects on performance, situation awareness and workload in a dynamic control task ↗ · 1999 · Endsley, Mica R. et al. · indexed
2070. Takeover Response Time Prediction Model Based on Observable Behavior ↗ · 2026 · Qian, Tianyi et al. · indexed
2071. Function-Specific Uncertainty Communication in Automated Driving ↗ · 2022 · Kunze, Alexander et al. · indexed
2072. Assessment of driving task complexity of automated vehicles based on information entropy ↗ · 2022 · Liu, Qi et al. · indexed
2073. Effects of gender, age, experience, and practice on driver reaction and acceptance of traffic jam chauffeur systems · 2021 · Muslim, Husam et al. · archived
2074. Driver state estimation during automatic driving using seat pressure ↗ · 2020 · SATO, Hayata et al. · indexed
2075. Driver Vision Based Perception-Response Time Prediction and Assistance Model on Mountain Highway Curve ↗ · 2016 · Li, Yi et al. · indexed
2076. SAPAT: a situational awareness process analysis technique ↗ · 2001 · Sandom, C. · indexed
2077. Driver Training for Shared Autonomy Systems Using Mixed Reality · 2025 · Mangharam, Rahul et al. · archived
2078. Specification of Drivers’ Behavior in Partially Automated Vehicles for Microscopic Simulation Models ↗ · 2019 · Rodrigues, Rita et al. · indexed
2079. Developing and testing the effectiveness of a truck driver hazard anticipation training module: a simulator study ↗ · 2026 · Galal, Alia et al. · indexed
2080. Development of Tools to Model Driver Behavior in a Cooperative and Driverless Vehicle Mixed Roadway Environment · 2022 · Hunter, Michael et al. · archived
2081. An assessment of autonomous vehicles : traffic impacts and infrastructure needs : final report. · 2017 · Kockelman, Kara et al. · archived
2082. Image-Based Driver Status Monitoring System for Determining the Transfer of Dynamic Driving Tasks in Autonomous Vehicles ↗ · 2024 · Su, Yi-Feng et al. · indexed
2083. Learning from Demonstrations of Critical Driving Behaviours Using Driver's Risk Field · 2023 · Du, Yurui et al. · archived
2084. Toward Driver Intention Prediction for Intelligent Vehicles: A Deep Learning Approach ↗ · 2021 · Azadani, Mozhgan Nasr et al. · indexed
2085. Automated Driving using Shared and Cooperative Guidance and Control: Revisiting past Research with a new Model ↗ · 2016 · Altendorf, E. et al. · indexed
2086. Traffic and Driving Simulator Based on Architecture of Interactive Motion · 2015 · Paz, Alexander et al. · archived
2087. Research on the Integrated Cognitive Topological Structure of Driver in the Multi-Resource Information Fusion ↗ · 2012 · Zheng, Zhi et al. · indexed
2088. Characterisation of driving skill level using driving simulator tests ↗ · 2007 · Lin, William C. et al. · indexed
2089. Driver Cognitive Distraction Recognition Based on Multi-Source Data from Simulated Driving Experiments ↗ · 2025 · Qu, Chixiong et al. · indexed
2090. Auditory neural correlates and neuroergonomics of driving assistance in a simulated virtual environment ↗ · 2023 · Baqapuri, Halim I et al. · indexed
2091. Analysis of the effects of adaptive cruise control on driver behavior and awareness using a driving simulator ↗ · 2020 · Kummetha, Vishal C. et al. · indexed
2092. Towards cooperative, predictive driver assistance ↗ · 2013 · Sivaraman, Sayanan et al. · indexed
2093. Automated video feature extraction : workshop summary report October 10-11 2012. · 2012 · Morton, Tom · archived
2094. Human cognitive reliability analysis on driver by driving simulator ↗ · 2010 · Nakayasu, Hidetoshi et al. · indexed
2095. Automation, AI, and Situation Awareness ↗ · 2025 · Endsley, Mica R. et al. · indexed
2096. Generative AI for Autonomous Driving: Frontiers and Opportunities · 2025 · Wang, Yuping et al. · archived
2097. A Driving Position-Sensitive Neural Network for Driver Fixation Prediction ↗ · 2022 · Ji, Shihui et al. · indexed
2098. Hazard Perception and Prediction test for walking, riding a bike and driving a car: “Understanding of the global traffic situation” ↗ · 2020 · Castro, Candida et al. · indexed
2099. Various Approaches for Driver and Driving Behavior Monitoring: A Review ↗ · 2013 · Kang, Hang-Bong · indexed
2100. Effect of AR-HUD Warning Information Presentation Modes on Driver Situation Awareness under Single-Hazard Scenarios ↗ · 2026 · Shen, Chang et al. · indexed
2101. A Driving Simulator Investigation on the Aggressiveness of an Automatic Lane-Change System · 2025 · Guan, Muhua et al. · archived
2102. Modelling perceived risk and trust in driving automation reacting to merging and braking vehicles ↗ · 2022 · He, Xiaolin et al. · indexed
2103. Predicting Driver Takeover Time in Conditionally Automated Driving · 2021 · Ayoub, Jackie et al. · archived
2104. Which factors lead to driving errors? A structural equation model analysis through a driving simulator experiment ↗ · 2019 · Papantoniou, Panagiotis et al. · indexed
2105. A modular soft barrier model combines uncertainty and reward to predict human eye movements in a two-task driving environment ↗ · 2013 · Johnson, L. et al. · indexed
2106. Driver inattention detection through intelligent analysis of readily available sensors ↗ · 2005 · Torkkola, K. et al. · indexed
2107. Multiple state estimation reinforcement learning for driving model: driver model of automobile ↗ · 2003 · Koike, Y. et al. · indexed
2108. Anticipation and the adaptive control of safety margins in driving ↗ · 1999 · HULST, MONIQUE VAN DER · indexed
2109. Evaluating Driver Readiness in Conditionally Automated Vehicles From Eye‐Tracking Data and Head Pose ↗ · 2025 · Kazemi, Mostafa et al. · indexed
2110. A new dynamic spatial information design framework for AR-HUD to evoke drivers’ instinctive responses and improve accident prevention ↗ · 2023 · Wang, Jianmin et al. · indexed
2111. Generation of Scenes in Intersections for the Validation of Highly Automated Driving Functions ↗ · 2019 · Jesenski, Stefan et al. · indexed
2112. The Potential of Multiple Connected and Federated Simulators and Models for Highway Transportation Research · 2017 · Fisher, Donald et al. · archived
2113. Driver Attention Region Prediction Based on Multi-Attention Mechanism Multi-Scale Fusion Network ↗ · 2026 · Chen, Yunxing et al. · indexed
2114. Representational Commitments and Situation Awareness in Joint Cognitive System ↗ · 2026 · Karjalainen, Jaakko · indexed
2115. Effects of 3D Displays on Mental Workload, Situation Awareness, Trust, and Performance Assessment in Automated Vehicles ↗ · 2023 · Colley, Mark et al. · indexed
2116. Understanding take-over performance of high crash risk drivers during conditionally automated driving ↗ · 2020 · Lin, Qingfeng et al. · indexed
2117. Addressing the Challenges in NextGen Decision Making · 2012 · Mosier, Kathleen et al. · archived
2118. Team situation awareness for process control safety and performance ↗ · 1998 · Kaber, David B. et al. · indexed
2119. What makes a ready driver? A deep dive into the measurement and validation of readiness estimation for driver monitoring systems of partially automated (SAE level 2) vehicles ↗ · 2025 · Gonçalves, Rafael Cirino et al. · indexed
2120. What Did My Car Say? Impact of Autonomous Vehicle Explanation Errors and Driving Context On Comfort, Reliance, Satisfaction, and Driving Confidence · 2025 · Kaufman, Robert et al. · archived
2121. Identifying Mental Frameworks Underlying Driver Behavior in Urban Contexts [Summary] · 2024 · Carver, DeWayne et al. · archived
2122. Automotive autopilot system · 2022 · Veretelnikov, A.S. et al. · archived
2123. Detecting driver inattention in the absence of driver monitoring sensors ↗ · 2005 · Torkkola, K. et al. · indexed
2124. How does concreteness of instructuon influence on human drivers' lane keeping performance? ↗ · 2023 · HASEGAWA, Ryo et al. · indexed
2125. Driving simulator study for the effects of autonomous vehicles on drivers behaviour under car-following conditions · 2022 · Calvi, Alessandro et al. · archived
2126. The influence of highly automated driving on the self-perception of drivers in the context of Conduct-by-Wire ↗ · 2014 · Kauer, Michaela et al. · indexed
2127. Ontology for Scenario Orchestration (OSO): A Standardised Scenario Description in Driving Simulation ↗ · 2013 · Xiong, Zhitao et al. · indexed
2128. Effects of Intelligent Warning Systems on Drivers' Steering Wheel Angle in Fog Situations · 2023 · Larocca, Ana Paula et al. · archived
2129. Effectiveness of a Dual Control Theoretic Driver Assistance for Attaining Safety and Identifying Driver State ↗ · 2015 · Saito, Yuichi et al. · indexed
2130. Training for Unmanned Vehicle Allocation with Automation in a Dynamic Microworld ↗ · 2012 · Clegg, Benjamin A. · indexed
2131. Effects of Training Content and Approach on Drivers’ Understanding of and Performance with Advanced Driver Assistance Systems · 2025 · AAA Foundation for Traffic Safety · archived
2132. The Effects of the Driver’s Mental State and Passenger Compartment Conditions on Driving Performance and Driving Stress ↗ · 2020 · Magaña, Víctor Corcoba et al. · indexed
2133. Systematic review and meta-analysis of take-over time from automated driving at SAE levels 2 and 3 to manual control ↗ · 2025 · Sekadakis, Marios et al. · indexed
2134. Digital navigation and the driving-machine: supervision, calculation, optimization, and recognition ↗ · 2019 · Hind, Sam · indexed
2135. Driver Modeling Based on Vehicular Sensing Data ↗ · 2018 · Wang, Zhuowen et al. · indexed
2136. Steering Control Characteristics of Human Driver Coupled with an Articulated Commercial Vehicle ↗ · 2014 · Taheri, Siavash · indexed
2137. A Meaningful Human Control Perspective on User Perception of Partially Automated Driving Systems: A Case Study of Tesla Users ↗ · 2024 · Suryana, Lucas Elbert et al. · indexed
2138. Modeling and Measuring Situation Awareness in the Infantry Operational Environment ↗ · 2000 · Endsley, Mica R. et al. · indexed
2139. Gaze Supervision for Mitigating Causal Confusion in Driving Agents · 2024 · Biswas, Abhijat et al. · archived
2140. Sensors and Sensing for Intelligent Vehicles ↗ · 2020 · Fernández Llorca, David et al. · indexed
2141. Using the situation present assessment method to measure situation awareness in simulated submarine track management ↗ · 2013 · Loft, Shayne et al. · indexed
2142. RiskNet: interaction-aware risk forecasting for autonomous driving in long-tail scenarios · 2025 · Liu, Qichao et al. · archived
2143. Automated Vehicles and Adverse Weather: Final Report · 2019 · Neumeister, David M. et al. · archived
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2145. Driver-Initiated DesignAn Approach to Keeping the Driver in Control? ↗ · 2017 · Banks, Victoria A. et al. · indexed
2146. The Study of Driver Distraction Characteristic Detection Technology ↗ · 2010 · Zhiqiang, Liu et al. · indexed
2147. Comparative Analysis of Deep Learning Architectures for Real-Time Driver Distraction Classification: Spatial, Temporal, and Attention-Based Approaches ↗ · 2026 · Seong, Younho et al. · indexed
2148. The Car That Cried Wolf: Driver Responses to Missing, Perfectly Performing, and Oversensitive Collision Avoidance Systems ↗ · 2019 · Fu, Ernestine et al. · indexed
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2151. Don’t fail me! The Level 5 Autonomous Driving Information Dilemma regarding Transparency and User Experience · 2023 · Schneider, Tobias et al. · archived
2152. Influencing Factors and Variation of Subjective Workload in the Process of Takeover During Autonomous Driving ↗ · 2021 · Ma, Yinbo et al. · indexed
2153. A Comparative Study of Ego-centric and Cooperative Perception for Lane Change Prediction in Highway Driving Scenarios · 2021 · Mozaffari, Sajjad et al. · archived
2154. A conceptual framework for requirement specification and evaluation of active safety functions ↗ · 2010 · Aust, Mikael Ljung et al. · indexed
2155. Evaluation of Driver Assistance Systems—A Human Centered Approach ↗ · 2002 · Peng, Huei · indexed
2156. Cognitive Biases in User Interaction with Automated Vehicles: The Influence of Explainability and Mental Models ↗ · 2025 · Manger, Carina et al. · indexed
2157. Automatic Safety Diagnosis in a Connected Vehicle Environment · 2022 · Whalin, Robert W et al. · archived
2158. Effects of unreliable automation and takeover time budget on young drivers’ mental workload ↗ · 2021 · Shahini, Farzaneh et al. · indexed
2159. MILD: Mediator Agent System with Bidirectional Perception and Multi-Layered Alignment for Human-Vehicle Collaboration ↗ · 2026 · Wang, Jiyao et al. · indexed
2160. Travelers' information need in automated vehicles - a psychophysiological analysis ↗ · 2022 · Brandebusemeyer, Charlotte et al. · indexed
2161. The Effects of Augmented Reality Head-Up Display Graphics on Driver Situation Awareness and Takeover Performance in Driving Automation Systems ↗ · 2022 · Greatbatch, Richard L et al. · indexed
2162. Real Time Validation of Online Situation Awareness Questionnaires in Simulated Approach Air Traffic Control ↗ · 2015 · Kraemer, Jan et al. · indexed
2163. Diagnosticity of an online query technique for measuring pilot situation awareness in nextgen ↗ · 2010 · Strybel, Thomas Z. et al. · indexed
2164. Driver’s Anticipation and Memory Driving Car-Following Model ↗ · 2020 · Jafaripournimchahi, Ammar et al. · indexed
2165. Driver Training for Emergency Situations ↗ · 1972 · Zavala, Albert et al. · indexed
2166. Safety Enhancement of Adaptive Cruise Control Adapted to Driver Eyes-Off State ↗ · 2025 · Arai, Norika et al. · indexed
2167. The effects of social interactions with in-vehicle agents on a driver's anger level, driving performance, situation awareness, and perceived workload ↗ · 2015 · Jeon, Myounghoon et al. · indexed
2168. Intelligent Mobility for Smart Cities: Driver Behaviour Models for Assessment of Sustainable Transport ↗ · 2014 · Dia, Hussein et al. · indexed
2169. Systems-theoretic foundation for advanced driver assistance systems ↗ · 2010 · Schnieder, Lars et al. · indexed
2170. Assessment of Computer Modeling of Operator Mental Workload during Target Acquisition ↗ · 1997 · See, Judi E. et al. · indexed
2171. The Influence of Agent Transparency and Complexity on Situation Awareness, Mental Workload, and Task Performance ↗ · 2024 · van de Merwe, Koen et al. · indexed
2172. Real-Time Driver Cognitive Workload Recognition: Attention-Enabled Learning With Multimodal Information Fusion ↗ · 2024 · Yang, Haohan et al. · indexed
2173. Dynamic Authority Allocation for Shared Steering Control Considering Driver Attention and Conflict Resolution ↗ · 2022 · Su, Chengrui et al. · indexed
2174. An Improved Car-Following Model with Consideration of Driver's Overtaking Intention ↗ · 2022 · Yang, Ze et al. · indexed
2175. Driver lane changing behavior ↗ · 2011 · Xiaokai He et al. · indexed
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2177. Broadening the Measurement of Situation Awareness through Cognitive Engineering Methods ↗ · 1997 · Cooke, Nancy J. et al. · indexed
2178. Safety performance functions in a road environment with automated vehicles · 2025 · Coropulis, Stefano et al. · archived
2179. What Causes a Driver's Attention Shift? A Driver's Attention-Guided Driving Event Recognition Model ↗ · 2023 · Du, Pengcheng et al. · indexed
2180. Knowledge of and trust in advanced driver assistance systems ↗ · 2021 · DeGuzman, Chelsea A. et al. · indexed
2181. How Does Knowledge about System Limitations Contribute to Interventions into Partial Automation Among Elderly Drivers? ↗ · 2018 · Itoh, Makoto et al. · indexed
2182. Complex Lane Change Behavior in the Foresighted Driver Model ↗ · 2015 · Julian, Eggert et al. · indexed
2183. Real-Time Detection System of Driver Distraction Using Machine Learning · 2013 · Tango, Fabio et al. · archived
2184. Safety Oriented State Transitions in Level 3 Automated Driving Systems: A General Framework ↗ · 2019 · Huang, Chao et al. · indexed
2185. Guided Attention For Autonomous System Supervision ↗ · 2012 · Cook, Maia B. et al. · indexed
2186. Study on Decision Mechanism of Driving Behavior Based on Decision Tree ↗ · 2008 · Yang, Xinyue · indexed
2187. YOLO-Drive: Robust Driver Distraction Recognition under Fine-Grained and Overlapping Behaviors ↗ · 2026 · Yu, Zhichao et al. · indexed
2188. Driver-Automated Vehicle Interaction in Mixed Traffic: Types of Interaction and Drivers’ Driving Styles ↗ · 2022 · Ma, Zheng et al. · indexed
2189. A Driver Model as Development Tool for Vehicle Handling Design ↗ · 2021 · Schuller, Juergen et al. · indexed
2190. Driver Monitoring for a Driver-Centered Design and Assessment of a Merging Assistance System Based on V2V Communications ↗ · 2020 · Sánchez–Mateo, Sofia et al. · indexed
2191. Take-over performance in evasive manoeuvres · 2017 · Happee, Riender et al. · archived
2192. Traffic intersection situation description ontology for advanced driver assistance ↗ · 2011 · Hulsen, Michael et al. · indexed
2193. Modeling Drivers’ Strategy When Overtaking Cyclists in the Presence of Oncoming Traffic ↗ · 2022 · Rasch, Alexander et al. · indexed
2194. The Role of Working Memory in Levels of Situation Awareness ↗ · 2012 · Gutzwiller, Robert S. et al. · indexed
2195. DriveID: safety innovation through individuation ↗ · 2012 · Sawyer, Ben et al. · indexed
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2198. Effects of Automation Transparency on Trust: Evaluating HMI in the Context of Fully Autonomous Driving ↗ · 2023 · Li, Jue et al. · indexed
2199. Real-time comprehensive driving ability evaluation algorithm for intelligent assisted driving ↗ · 2023 · Liu, Fang et al. · indexed
2200. Fatigue and Distracted Driving Recognition Method Based on Multimodal Information Fusion ↗ · 2025 · Guan, Deyong et al. · indexed
2201. Towards artificial intelligence based rail driving assistance tool ↗ · 2024 · Merlevede, Jean-Valentin et al. · indexed
2202. Is it Good or Bad to Provide Driver Fatigue Warning During Take-Over in Highly Automated Driving? ↗ · 2021 · Niu, Jianwei et al. · indexed
2203. Behavioral decision‐making model of the intelligent vehicle based on driving risk assessment ↗ · 2019 · Zheng, Xunjia et al. · indexed
2204. Connected and Autonomous Vehicles 2040 Vision · 2014 · Mashayekh, Yeganeh et al. · archived
2205. DA-TRA: Incorporating Driver Attention and Road Scene Understanding for Traffic Risk Assessment ↗ · 2026 · Lin, Huei Yung et al. · indexed
2206. Driving performance is better predicted by unintentional rather than intentional mind-wandering in high density traffic ↗ · 2025 · Walker, Heather E.K. et al. · indexed
2207. Measures of Cognitive and Psycho-Physiological Response to a Virtual Driving Assistance ↗ · 2024 · Isiaka, Fatima et al. · indexed
2208. Analysis of Physical Readiness for Take-Over in Automated Driving – Approach to Classify Non-Driving Related Activities According to Their Level of Complexity ↗ · 2024 · Schäffer, Miriam et al. · indexed
2209. Changing the Perspective: Assessing the Controllability of Minimal Risk Maneuvers for Surrounding Traffic Participants ↗ · 2023 · Karakaya, Burak et al. · indexed
2210. Influence of spatio-temporal distribution of human-machine interface elements on drivers' trust in adaptive cruise control cut-in scenario ↗ · 2021 · Wang, Jianmin et al. · indexed
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2217. Synchronization and Feedback Loop Integration of a Non-real Time Microscopic Traffic Simulation with a Real-time Driving Simulator using Model-Based Prediction ↗ · 2021 · Maddipatla, Satya Prasad et al. · indexed
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2222. Designing for Situation Awareness - Aviation Perspective ↗ · 2017 · Mulder, Max et al. · indexed
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2224. Driver-TRN: An Approach to Driver Behavior Detection Enhanced SOTIF in Automated Vehicles ↗ · 2023 · Hou, Zhonglin et al. · indexed
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2226. Assessing Driving Styles in Commercial Motor Vehicle Drivers After Take-Over Conditions in Highly Automated Vehicles ↗ · 2022 · Riahi Samani, Ali et al. · indexed
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2353. Using Connected Intelligent Transportation To Enhance Vulnerable Road User Safety · 2025 · Huang, Zilin et al. · archived
2354. Scenario Classes in Naturalistic Driving: Autoencoder-based Spatial and Time-Sequential Clustering of Surrounding Object Trajectories ↗ · 2020 · Epple, N. et al. · indexed
2355. DriveNet: A deep learning framework with attention mechanism for early driving maneuver prediction · 2025 · M'haouach, Mohamed et al. · archived
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2357. Shaping driver-vehicle interaction in autonomous vehicles: How the new in-vehicle systems match the human needs ↗ · 2021 · Sun, Xu et al. · indexed
2358. Lane-Change Initiation and Planning Approach for Highly Automated Driving on Freeways · 2020 · Arbabi, Salar et al. · archived
2359. The Flood Study: Examining Naturalistic Interactions between Road Users at Intersections ↗ · 2018 · Salmon, Paul M. et al. · indexed
2360. Keep your mind on the road: Predicting mind-wandering while driving using classification of pre-probe oscillatory brain activity and driving performance ↗ · 2014 · He, J. et al. · indexed
2361. A Framework for Estimating Driver Decisions Near Intersections ↗ · 2013 · Gadepally, Vijay et al. · indexed
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2364. Situation Awareness and the Decision-Making Process in a Dynamic Situation: Avoiding Collisions at Sea ↗ · 2008 · Chauvin, Christine et al. · indexed
2365. Understanding cyclists’ perception of driverless vehicles through eye-tracking and interviews ↗ · 2024 · Berge, Siri Hegna et al. · indexed
2366. Explaining Autonomous Driving Actions with Visual Question Answering · 2023 · Atakishiyev, Shahin et al. · archived
2367. Human–Machine Adaptive Shared Control for Safe Driving Under Automation Degradation ↗ · 2022 · Huang, Chao et al. · indexed
2368. Profiling the Enthusiastic, Neutral, and Sceptical Users of Conditionally Automated Cars in 17 Countries: A Questionnaire Study ↗ · 2022 · Nordhoff, Sina et al. · indexed
2369. Defining interactions: a conceptual framework for understanding interactive behaviour in human and automated road traffic ↗ · 2020 · Markkula, G. et al. · indexed
2370. A motivational driver model for the design of a rear-end crash avoidance system ↗ · 2019 · Mozaffari, Hamed et al. · indexed
2371. Augmented reality head-up displays effect on drivers’ spatial knowledge acquisition · 2019 · Faria, Nayara de Oliveira et al. · archived
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2376. Can Shared Control Improve Overtaking Performance? Combining Human and Automation Strengths for a Safer Maneuver · 2022 · Marcano, Mauricio et al. · archived
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2379. An Integrated Approach to Probabilistic Vehicle Trajectory Prediction via Driver Characteristic and Intention Estimation ↗ · 2019 · Liu, Jinxin et al. · indexed
2380. Interaction-Aware Probabilistic Behavior Prediction in Urban Environments ↗ · 2018 · Schulz, Jens · indexed
2381. Integrated Speed and Steering Control Driver Model for Vehicle–Driver Closed-Loop Simulation ↗ · 2016 · Koh, Youngil et al. · indexed
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2383. Validity of Driving Simulator for Agent-Human Interaction · 2014 · Ba, Yutao et al. · archived
2384. Automation, Task, and Context Features ↗ · 2013 · Morrow, Daniel · indexed
2385. Integrating Situation Awareness and Surprise: A Computational Agent Model ↗ · 2012 · Bosse, Tibor et al. · indexed
2386. Development of a Conceptual Framework Toward an Integrated Transportation System · 2009 · Ni, Daiheng et al. · archived
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2389. InVDriver: Intra-instance aware vectorized query-based autonomous driving transformer · 2025 · Zhang, Bo et al. · archived
2390. Does Increasing Takeover Time Budget Improve Driver Takeover Performance in Different Hazard Visibility Scenarios? ↗ · 2024 · Li, Ming-Jie et al. · indexed
2391. The Effect of Whole-Body Haptic Feedback on Driver’s Perception in Negotiating a Curve · 2018 · Pakdamanian, Erfan et al. · archived
2392. What Do Autonomous Vehicles Mean to Traffic Congestion and Crash? Network Traffic Flow Modeling and Simulation for Autonomous Vehicles · 2016 · Qian, Sean et al. · archived
2393. Modeling of Traffic Flow of Automated Vehicles ↗ · 2004 · Li, K. et al. · indexed
2394. Estimating Driver Personality Traits From On-Road Driving Data ↗ · 2023 · Kimura, Ryusei et al. · indexed
2395. Delays, inaccuracies and anticipation in microscopic traffic models · 2005 · Treiber, Martin et al. · archived
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2398. Impact of Infotainment System Complexity on Driver Situation Awareness in Manual Vehicles ↗ · 2024 · Bölükbaşı, Elif et al. · indexed
2399. Visual Prediction of Driver Behavior in Shared Road Areas ↗ · 2021 · Gawronski, Peter et al. · indexed
2400. Special issue on Motion Control for Automated Driving and Autonomous Functions on Road Vehicles ↗ · 2019 · Lidberg, Mathias et al. · indexed
2401. Stages and Levels of Automation: An Integrated Meta-analysis ↗ · 2010 · Wickens, Christopher D. et al. · indexed
2402. Knowledge, attitudes and experience: Understanding the factors that shape ADAS use across five European Countries ↗ · 2026 · Madigan, Ruth et al. · indexed
2403. Connected Automated Driving: A Model-Based Approach to the Analysis of Basic Awareness Services ↗ · 2020 · Araujo, Hugo et al. · indexed
2404. Human Performance Consequences of Stages and Levels of Automation · 2013 · Onnasch, Linda et al. · archived
2405. A Driver Behavior Monitoring System for Sustainable Traffic and Road Construction ↗ · 2023 · Sappl, Hannes et al. · indexed
2406. A Rulefit Based Model for Driving Intention Prediction at Intersections ↗ · 2023 · Wang, Lan et al. · indexed
2407. Near-Perfect Automation: Investigating Performance, Trust, and Visual Attention Allocation ↗ · 2021 · Foroughi, Cyrus K. et al. · indexed
2408. Psychological factors of the transfer of control in an automated vehicle ↗ · 2021 · Odachowska, Ewa et al. · indexed
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2410. Disruptions, Interruptions and Information Attack: Impact on Situation Awareness and Decision Making · 2001 · Endsley, Mica R. et al. · archived
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2412. Dual-Flow Driver Distraction Driving Detection Model Based on Sobel Edge Detection ↗ · 2026 · Qin, Binbin et al. · indexed
2413. ODD-Based Long-Term Decision-Making for Intelligent Vehicles · 2025 · Cardenas, Rhandy et al. · archived
2414. UF & UAB’s Phase I Demonstration Study: Older Driver Experiences With Autonomous Vehicle Technology · 2021 · Classen, Sherrilene et al. · archived
2415. Situation awareness sharing in networked operations ↗ · 2017 · Shao, Ying et al. · indexed
2416. A variable time headway model for the mixed car-following process considering multiple front vehicles information in foggy weather ↗ · 2024 · Liang, Ziwei et al. · indexed
2417. Design and Evaluation of Adaptive Collision Avoidance Systems ↗ · 2019 · Muslim, Husam et al. · indexed
2418. Estimating driver awareness of pedestrians in crosswalk in the path of right or left turns at an intersection from vehicle behavior ↗ · 2015 · Tateiwa, Kei et al. · indexed
2419. Gaze detection based driver modelization in an electric vehicle using virtual force field and Steer by Wire system ↗ · 2014 · Rouzier, Baptiste et al. · indexed
2420. Towards the development of design guidelines handbook for driver hypovigilance detection and warning - the AWAKE approach ↗ · 2004 · Bekiaris, E.D. · indexed
2421. NEURAL NETWORK DEVELOPMENT AND TRAINING FOR RECOGNIZING THE STATE OF A DRIVER ↗ · 2023 · Schwetz, Olga et al. · indexed
2422. Information data flow in awake multi-sensor driver monitoring system ↗ · 2004 · Polychronopoulos, A. et al. · indexed
2423. The Future Driver: Exploring the Safety Challenges of Level 4 Automated Vehicles During Manual Control ↗ · 2025 · Andriola, Cesar et al. · indexed
2424. Analysis of Key Factors Affecting Human Driver’s Subjective and Objective Risk When Interacting with Autonomous Vehicles ↗ · 2025 · Shi, Xiupeng et al. · indexed
2425. The Impact of Adaptive Cruise Control on the Drivers’ Workload and Attention ↗ · 2024 · Lantieri, Claudio et al. · indexed
2426. An Interaction-Aware Vehicle Behavior Prediction for Connected Automated Vehicles ↗ · 2022 · Azadani, Mozhgan Nasr et al. · indexed
2427. Situation awareness in air traffic control : enhanced displays for advanced operations · 2000 · Endsley, Mica R. et al. · archived
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2429. Human Confusion Recognition Techniques: Measurements, Algorithms, and Future Research Directions for Automated Driving ↗ · 2026 · Huo, Hao et al. · indexed
2430. Driving In Mixed Traffic: Will Increased Penetration Rates of Automated Vehicles Change Driver Behaviors? ↗ · 2023 · Ma, Zheng et al. · indexed
2431. Testing Senders’ Visual Occlusion Model: Do Operators (Drivers) Really Predict During Visual Occlusion? ↗ · 2022 · Chen, Huei-Yen Winnie et al. · indexed
2432. Intelligent Driving Intelligence Test for Autonomous Vehicles with Naturalistic and Adversarial Environment · 2021 · Feng, Shuo et al. · archived
2433. Safety on the Italian Highways: Impacts of the Highway Chauffeur System · 2019 · Agriesti, Serio et al. · archived
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2435. Fuzzy Synthetic Evaluation on Driver's Hazard Perception ↗ · 2014 · Cheng, Ying et al. · indexed
2436. Driver behavior in car-to-pedestrian incidents: An application of the Driving Reliability and Error Analysis Method (DREAM) ↗ · 2013 · Habibovic, Azra et al. · indexed
2437. Physical Fidelity of Driving Simulators ↗ · 2011 · Greenberg, Jeffry et al. · indexed
2438. Truck automation operational concept alternatives ↗ · 2010 · Shladover, Steven E. · indexed
2439. Investigating Factors Influencing Takeover Performance in Conditionally Automated Driving: The Role of Uncertainty Communication ↗ · 2025 · Tekkesinoglu, Sule et al. · indexed
2440. Driver's Hand Trajectory-Guided Takeover Intention Inference in Conditionally Automated Driving ↗ · 2025 · Zhu, Jieyu et al. · indexed
2441. Influence of Prior General Knowledge on Older Adults’ Takeover Performance and Attitude Toward Using Conditionally Automated Driving Systems ↗ · 2021 · Zhou, Huiping et al. · indexed
2442. Fusion of driver-information based driver status recognition for co-pilot system ↗ · 2016 · Jinwoo Kim et al. · indexed
2443. The Relationship between Inattentional Blindness, Inattentional Insensitivity, Situation Awareness, and Performance in a Driving Simulator ↗ · 2015 · Dattel, Andrew R. et al. · indexed
2444. The effects of camera perspective and augmentation on performance, situation awareness and mental workload of remote assistants of highly automated vehicles ↗ · 2026 · Schrank, Andreas et al. · indexed
2445. Analysis of Advanced Driver-Assistance Systems in Police Vehicles · 2023 · Zahabi, Maryam et al. · archived
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2449. From Human Semantics to Executable Control: Driving Behavior Graph for Automated Emergency Maneuvering ↗ · 2026 · Zhu, Yixin et al. · indexed
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2451. Correlation Evaluation of Pilots’ Situation Awareness in Bridge Simulations via Eye‐Tracking Technology ↗ · 2021 · Jiang, Shaoqi et al. · indexed
2452. Automated Driving in Uncertain Environments: Planning With Interaction and Uncertain Maneuver Prediction ↗ · 2018 · Hubmann, Constantin et al. · indexed
2453. From Theory to Practice: How Designing for Situation Awareness Can Transform Confusing, Overloaded Shovel Operator Interfaces, Reduce Costs, and Increase Safety · 2013 · Onal, Emrah et al. · archived
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2455. Evaluating Driver Perceptions of Integrated Safety Monitoring Systems for Alcohol Impairment and Distraction · 2025 · Patibandla, RoshikNagaSai et al. · archived
2456. Template Reinforcement Learning for Automated Driving with Scenario Switching Inference Labeling ↗ · 2023 · Lu, Songxin et al. · indexed
2457. Speeding Behavior when Using Automation: A Descriptive Analysis of Naturalistic Driving Data ↗ · 2022 · Haus, Samantha H. et al. · indexed
2458. Road Projections: Impact on Road Users and Potential to Enhance Awareness of Backing Situation in Parking Lots ↗ · 2021 · Azouigui, S. et al. · indexed
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2460. Information, assessment, or decision: a driving simulator study on the effect of real-time feedback based on information-processing stages ↗ · 2025 · Picco, Angèle et al. · indexed
2461. Driving-Related Cognitive Abilities Prediction Based on Transformer’s Multimodal Fusion Framework ↗ · 2024 · Li, Yifan et al. · indexed
2462. A Human-Machine Shared Control Strategy for Automation Disengagement Cases with Intention-Based Driving Authority Allocation ↗ · 2024 · Wang, Zhaoqing et al. · indexed
2463. Determining the onset of driver’s preparatory action for take-over in automated driving using multimodal data ↗ · 2024 · Teshima, Takaaki et al. · indexed
2464. Transportation Safety Training in Rural Areas: An Exploration of Virtual Reality and Driving Simulation in Driver Response and Awareness · 2023 · Long, Suzanna K et al. · archived
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2466. Driving Behavior during System Limits of Low-Speed ACC : Effects of Driver Comprehension Level for System Limits on Driving Behavior ↗ · 2004 · MARUMO, Yoshitaka et al. · indexed
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2468. Social network analysis in driver monitoring systems: understanding the impact of predictive models on driver safety ↗ · 2025 · Madhumita, S. et al. · indexed
2469. Driver Profiling and Bayesian Workload Estimation Using Naturalistic Peripheral Detection Study Data ↗ · 2024 · Caber, Nermin et al. · indexed
2470. Participation of autonomous vehicles in real-life traffic: an assessment of the behaviour of road users ↗ · 2024 · Kondratovič, Vladislav et al. · indexed
2471. Effects of Before-After Obstacle Avoidance and Driver Age on Situation Awareness and Vehicle Control in Automated Driving ↗ · 2024 · Lee, Jaesik · indexed
2472. Modeling factors to various drivers' actions due to vehicle malfunctions, the integrated latent class and latent variable model ↗ · 2022 · Rezapour, Mahdi et al. · indexed
2473. A new theory of driver vision pressure energy field and its application in driver behaviour decision‐making model ↗ · 2021 · Li, Yi et al. · indexed
2474. Evaluating Driver Pedestrian Interactions Under Uncertainty:A Driving Simulator Study ↗ · 2026 · Sekeran, Maya et al. · indexed
2475. Solution Concepts in Hierarchical Games Under Bounded Rationality With Applications to Autonomous Driving · 2021 · Sarkar, Atrisha et al. · archived
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2477. A Computational Driver Model to Predict Driver Control at Unsignalised Intersections ↗ · 2020 · Boda, Christian-Nils et al. · indexed
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2479. Measurement and Modeling of the Effect of Sensory Conflicts on Driver Steering Control ↗ · 2019 · Nash, Christopher J. et al. · indexed
2480. Risk Analysis of Autonomous Vehicles in Mixed Traffic Streams · 2017 · Dey, Kakan Chandra et al. · archived
2481. Preparation for Society Involving Automated Vehicles ↗ · 2017 · NISHIMURA, Hidekazu · indexed
2482. Cooperative Vehicle Automation: Safety Aspects and Control Software Architecture ↗ · 2017 · Ploeg, Jeroen · indexed
2483. Look at the Driver, Look at the Road: No Distraction! No Accident! ↗ · 2014 · Rezaei, Mahdi et al. · indexed
2484. The impact of the following vehicles behaviors on the car following behaviors of the ego-vehicle · 2025 · Liu, Yang et al. · archived
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2492. VLM-driven Risk-Adaptive HUD Interactions for Trust Calibration in Automated Driving ↗ · 2026 · Ren, Mengyang et al. · indexed
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2509. Drivers’ Mental Workload In Agricultural Semi-Autonomous Vehicles ↗ · 2013 · Bashiri, Behzad et al. · indexed
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2563. Calibration of car-following models of human driven vehicles interacting with automated vehicles in mixed traffic: a driving simulator experiment ↗ · 2026 · Reddy, Nagarjun et al. · indexed
2564. Analysis of a Driving Simulator’s Steering System for the Evaluation of Autonomous Vehicle Driving · 2025 · Dols, Juan F. et al. · archived
2565. Deep learning approach for unified recognition of driver speed and lateral intentions using naturalistic driving data ↗ · 2024 · Cheng, Kun et al. · indexed
2566. Enhancing Driver Maneuver Intention Recognition: A Framework Integrating Driver Facial Motion and Driving Scene Understanding ↗ · 2024 · Cui, Gege et al. · indexed
2567. On the Use of Real-Time Multi-Object Detection and Classification for Automated Assessment of Operator Visual Attention Allocation ↗ · 2023 · Choi, Minseop et al. · indexed
2568. Integrity Management of the Reachable Space With Lane Grid Maps · 2023 · Sanchez, Corentin et al. · archived
2569. Perception analysis of highway quality of service using a driving simulator and eye tracking system ↗ · 2020 · De Campos, Cintia Isabel et al. · indexed
2570. A Novel Heterogeneous Network for Modeling Driver Attention With Multi-Level Visual Content ↗ · 2022 · Hu, Zhongxu et al. · indexed
2571. Human reliability analysis in situated driving context considering human experience using a fuzzy-based clustering approach · 2021 · He, Chao et al. · archived
2572. Driver-Automation Collaboration for Automated Vehicles: A Review of Human-Centered Shared Control ↗ · 2020 · Xing, Yang et al. · indexed
2573. A Generic Road Traffic Simulation Model ↗ · 2002 · Hadouaj, Sameh et al. · indexed
2574. Influencing Factors on Drivers’ Satisfaction Towards Automated Vehicle with Different Levels of Automation: Incorporating Intentions to Repurchase and Recommend ↗ · 2025 · Li, Jingyu et al. · indexed
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2576. Enhancing Vulnerable Road User Safety at Signalized Intersections Through Cooperative Perception and Driving Automation: Final Report · 2024 · Bayartsengel, Misheel et al. · archived
2577. Explainability in Automated Parking: The Effect of Augmented Reality Visualizations on User Experience and Situation Awareness ↗ · 2023 · Manger, Carina et al. · indexed
2578. Robust Vehicle Driver Assistance Control for Handover Scenarios Considering Driving Performances ↗ · 2021 · Chen, Yimin et al. · indexed
2579. Social behavior for autonomous vehicles · 2019 · Schwarting, Wilko et al. · archived
2580. Meta-cognition for inferring car driver cognitive behavior from driving recorder data ↗ · 2016 · Mizoguchi, Fumio et al. · indexed
2581. Analysis of driver behavior based on traffic incidents for driver monitor systems ↗ · 2008 · Miyaji, Masahiro et al. · indexed
2582. Trust, cognitive control, and control ↗ · 2006 · Rajaonah, Bako et al. · indexed
2583. Effects of Driving Task Demands and Information Load on AR-HUD Cognitive Efficiency: The Moderating Role of Working Memory Capacity in a VR-Based Simulated Driving Environment. ↗ · 2026 · Li J et al. · indexed
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2585. Resurrecting the ghost in the shell: A need-centered development approach for optimizing user experience in highly automated vehicles ↗ · 2019 · Frison, Anna-Katharina et al. · indexed
2586. Technical Leadership Challenges for Highly Automated Driving: Technology Leadership Brief ↗ · 2012 · Schumacher, Christian et al. · indexed
2587. Generalized model for driver activity recognition in automated vehicles using pressure sensor array · 2022 · Nobari, Khazar Dargahi et al. · archived
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2589. Trust in Technology as a Safety Aspect in Highly Automated Driving ↗ · 2016 · Wintersberger, Philipp et al. · indexed
2590. Effects of First Automation Failure on Situation Awareness and Performance in an Air Traffic Control Task ↗ · 2011 · Sethumadhavan, Arathi · indexed
2591. Development of universal driving simulator with interactive traffic environment ↗ · 2005 · SUDA, Yoshihiro et al. · indexed
2592. <p>Alertness-Related Differences in Car-Following Strategy among Truck Drivers Based on Naturalistic Driving Data</p> ↗ · 2026 · Liu, Yang et al. · indexed
2593. Risk Assessments Integrating V2X Into Cooperative Driving Automation ↗ · 2025 · Correa-Jullian, Camila et al. · indexed
2594. Understanding Risks and Opportunities for Ramp Metering Control in a Mixed-Autonomy Future · 2025 · Stern, Raphael et al. · archived
2595. Feedback or Takeover: The Impact of Risk and Driver State on Intervention Behaviors in Automated Driving ↗ · 2024 · Li, Muchen et al. · indexed
2596. A Real Bottleneck Scenario with a Wizard of Oz Automated Vehicle - Role of eHMIs ↗ · 2023 · Şahin İppoliti, Hatice et al. · indexed
2597. The importance of psychophysiological methods in identifying and mitigating degraded situation awareness ↗ · 2016 · Drnec, Kim et al. · indexed
2598. Highway safety performance metrics and emergency response in an advanced transportation environment : final report. · 2016 · Majka, Kevin · archived
2599. Sensing requirements for an automated vehicle for highway and rural environments ↗ · 2014 · Bussemaker, K.J. · indexed
2600. Developing Driving Task Scenarios for Developmentally Tailored Driving Assessments: Using an Evidence-Centered Design Model ↗ · 2011 · Roelofs, Erik et al. · indexed
2601. A Review of Car-Following Models and Modeling Tools for Human and Autonomous-Ready Driving Behaviors in Micro-Simulation ↗ · 2021 · Ahmed, Hafiz Usman et al. · indexed
2602. Driving Video Fixation Prediction Model Via Spatio-Temporal Networks and Attention Gates ↗ · 2021 · Deng, Tao et al. · indexed
2603. Investigating what level of visual information inspires trust in a user of a highly automated vehicle ↗ · 2021 · Ma, Rachel H.Y. et al. · indexed
2604. Subjective evaluation of vehicle active safety using PreScan and Simulink: Lane departure warning system as an example ↗ · 2017 · Xiong, Guangming et al. · indexed
2605. Driving course prediction for vehicle handling maneuvers ↗ · 2012 · Ruoqian Liu et al. · indexed
2606. Where Is Computing Driving Cars? ↗ · 2001 · Walker, Guy H. et al. · indexed
2607. The Effects of Shared Information on Pilot-Controller Situation Awareness And Re-Route Negotiation · 1999 · Farley, Todd et al. · archived
2608. Perceived Realism and Risk Awareness in a Browser-Based Snow-Driving Simulation ↗ · 2026 · Aldoski, Ziyad N. et al. · indexed
2609. Influence of color and icon encoding themed HMl on trust calibration in automated vehicles ↗ · 2025 · Guo, Qi et al. · indexed
2610. Comparing implicit communication via longitudinal driving dynamics: A cross-cultural study in Germany and the UK ↗ · 2024 · Ehrhardt, Sofie et al. · indexed
2611. Integrated Decision and Motion Planning for Highways with Multiple Objects Using a Naturalistic Driving Study ↗ · 2024 · Gao, Feng et al. · indexed
2612. A New Data-Driven Approach For On-line Traffic Participant Behaviour Prediction at Intersections for Automated Driving ↗ · 2020 · Abnili, Mehran Zamani et al. · indexed
2613. Visual attention for behavioral cloning in autonomous driving ↗ · 2019 · Mohandoss, Tharun et al. · indexed
2614. Predicting Focused and Mind-Wandering States from EEG Signals Recorded During Driving ↗ · 2025 · Castro, Johan et al. · indexed
2615. Mental Workload and Situation Awareness ↗ · 2006 · Tsang, Pamela S. et al. · indexed
2616. PRISM-MTL: Inter-Modal Selective Multi-Task Learning for Assistive Driving Perception ↗ · 2026 · Kim, Minjun et al. · indexed
2617. The Risks of Road Rage: An Investigation Into the Influences of Driving‐Related Anger on Driver Attention ↗ · 2025 · Love, Steven et al. · indexed
2618. Contrasting Simulated with On-Road Transitions of Control ↗ · 2018 · Eriksson, Alexander et al. · indexed
2619. An Explicit Decision Tree Approach for Automated Driving ↗ · 2017 · Li, Nan et al. · indexed
2620. Preliminary steps in understanding a target & control based driver steering model ↗ · 2011 · Jihua Huang et al. · indexed
2621. Physiological Assessment of Driver Trust in Automated Vehicles under Distinct Driving Styles · 2026 · Li, Yizheng et al. · archived
2622. Framework for Defining the Perspectives of the 3D Driving Visualization Interface for Driving Automation System-Engaged Vehicles ↗ · 2023 · Li, Jun et al. · indexed
2623. Autonomous vehicles: challenges, opportunities, and future implications for transportation policies · 2016 · Bagloee, Saeed Asadi et al. · archived
2624. Introduction to the Special Issue on “New Trends towards Automatic Vehicle Control and Perception Systems” · 2013 · Milanés, Vicente et al. · archived
2625. A Review of Scenario Similarity Measures for Validation of Highly Automated Driving ↗ · 2023 · Braun, Thilo et al. · indexed
2626. Predicting Takeover Quality in Conditionally Autonomous Vehicles based on Takeover Request Modalities, Driver Physiological State and the Environment · 2022 · De Salis, Emmanuel et al. · archived
2627. Vehicle Connectivity and Automation: A Sibling Relationship · 2020 · Ha, Paul et al. · archived
2628. Cognitive Underpinnings of Beliefs and Confidence in Beliefs about Fully Automated Vehicles · 2019 · Sanbonmatsu, David M. et al. · archived
2629. Sharing the Road: How Human Drivers Interact with Autonomous Vehicles on Highways · 2022 · Huang, Chunxi et al. · archived
2630. The Empathetic Car ↗ · 2021 · Liu, Shu et al. · indexed
2631. Takeover and non-driving related task performance in conditional automated driving: EEG and behavior Parameters interaction ↗ · 2025 · Gao, Yuan et al. · indexed
2632. An Analysis of Testing Scenarios for Automated Driving Systems ↗ · 2021 · Liu, Siyuan et al. · indexed
2633. A Survey of Autonomous Driving: <i>Common Practices and Emerging Technologies</i> ↗ · 2020 · Yurtsever, Ekim et al. · indexed
2634. Simulation and Its Contribution to Evaluate Highly Automated Driving Functions ↗ · 2019 · Groh, Korbinian et al. · indexed
2635. EAR Program Research Results: Updated through 2016 · 2016 · NHTSA · archived
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2637. Driver monitoring for a human-centered driver assistance system ↗ · 2006 · McCall, Joel et al. · indexed
2638. Driver Distraction and Reliance: Adaptive Cruise Control in the Context of Sensor Reliability and Algorithm Limits · 2005 · Seppelt, Bobbie D et al. · archived
2639. Driver Attention Prediction Based on Adaptive Fusion of Cross-Modal Features ↗ · 2026 · Zhang, Mingfang et al. · indexed
2640. Autonomous Vehicles and Virtual Reality · 2024 · Kemeny, Andras · archived
2641. Monitoring driver cognitive load using functional near infrared spectroscopy in partially autonomous cars ↗ · 2016 · Sibi, Srinath et al. · indexed
2642. Automated Highway Driving Decision Considering Driver Characteristics ↗ · 2020 · Yang, Wei et al. · indexed
2643. The Virtual Driver: Integrating Task Planning and Cognitive Simulation with Human Movement Models ↗ · 2007 · Tsimhoni, Omer et al. · indexed
2644. Balancing Safety, Efficiency, and Sustainability: A Survey of Modeling Tools for Autonomous Vehicles Interactions ↗ · 2026 · Sarkandi, Golnoosh et al. · indexed
2645. Modeling Driver Decision Behavior of the Cut-In Process ↗ · 2023 · Lu, Yun et al. · indexed
2646. Challenges in Perception and Decision Making for Intelligent Automotive Vehicles: A Case Study ↗ · 2016 · Okumura, Bunyo et al. · indexed
2647. Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives · 2023 · Teng, Siyu et al. · archived
2648. Taming Functional Deficiencies of Automated Driving Systems: a Methodology Framework toward Safety Validation ↗ · 2018 · Chen, Meng et al. · indexed
2649. Control Strategy for Cooperative Driving Automation in Traffic Incidents ↗ · 2023 · Kwag, Sujin et al. · indexed
2650. Cooperative Intersection with Misperception in Partially Connected and Automated Traffic ↗ · 2021 · Li, Chenghao et al. · indexed
2651. Is it Safe to Drive? An Overview of Factors, Metrics, and Datasets for Driveability Assessment in Autonomous Driving ↗ · 2019 · Guo, Junyao et al. · indexed
2652. A collision mitigation strategy for intelligent vehicles to compensate for human factors affecting manually driven vehicles ↗ · 2017 · Patel, Raj Haresh et al. · indexed
2653. Steps towards an intelligent vision system for driver assistance in urban traffic ↗ · 2002 · Franke, U. et al. · indexed
2654. Relationship between Road Safety Guarantee Level and Driver Safety Perception ↗ · 2007 · Li, Shu-qing et al. · indexed
2655. Analysis and identification of physiological profiles for cognitive load modeling in conditioned autonomous driving using unsupervised analysis and clustering ↗ · 2025 · Vásquez, Evelyn et al. · indexed
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2657. Exploring the associations between driving volatility and autonomous vehicle hazardous scenarios: Insights from field operational test data ↗ · 2022 · Yu, Rongjie et al. · indexed
2658. Traffic situation estimator for Adaptive Cruise Control ↗ · 2016 · Tianyi Yu et al. · indexed
2659. DrivNet: Adaptive driving behavior prediction for improving the safety of multimodal transportation in autonomous vehicle systems ↗ · 2026 · Theivadas, J Robert et al. · indexed
2660. Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions · 2020 · Muhammad, Khan et al. · archived
2661. Operationalising uncertainty: the automation of threat knowledge and situational awareness ↗ · 2026 · Aanonsen, Claudia Emilie · indexed
2662. Imitation Learning of Hierarchical Driving Model: From Continuous Intention to Continuous Trajectory ↗ · 2021 · Wang, Yunkai et al. · indexed
2663. Social-Aware Driver Assistance Systems for City Traffic in Shared Spaces ↗ · 2019 · Fernández-Isabel, Alberto et al. · indexed
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2666. Decision-Making for Automated Vehicles Using a Hierarchical Behavior-Based Arbitration Scheme · 2020 · Orzechowski, Piotr F. et al. · archived
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2668. Planning and Decision-Making for Autonomous Vehicles ↗ · 2018 · Schwarting, Wilko et al. · indexed
2669. Expertise and Situation Awareness ↗ · 2006 · Endsley, Mica R. · indexed
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2671. The Role of Attention in Increasingly Autonomous Driving ↗ · 2015 · Victor, Trent · indexed
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2673. Scenario Model Predictive Control for Lane Change Assistance and Autonomous Driving on Highways ↗ · 2017 · Cesari, Gianluca et al. · indexed
2674. An Optimization and Validation Method to Detect the Collision Scenarios and Identifying the Safety Specification of Highly Automated Driving Vehicle ↗ · 2021 · Khatun, Marzana. et al. · indexed
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2676. The impacts of multi-agent quantity, type and transparency on mental workload, situation awareness and human out-of-the-loop · 2023 · Xu, Xinran et al. · archived
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2678. Studying the Simultaneous Effect of Autonomous Vehicles and Distracted Driving on Safety at Unsignalized Intersections · 2021 · Khashayarfard, Mohammad et al. · archived
2679. Inferring Human Driver Intent in Partial Deployment of Connected Autonomous Vehicles: the Lane Change Case ↗ · 2023 · Na, Jonghwan et al. · indexed
2680. Driving Simulator Trajectory-Level Analysis of Truck Drivers’ Behavioral Alteration in Connected Vehicles Environment Under Fog with Complex Roadway Geometry ↗ · 2022 · Bakhshi, Arash Khoda et al. · indexed
2681. Comparison of Markov Chain Abstraction and Monte Carlo Simulation for the Safety Assessment of Autonomous Cars · 2011 · Althoff, Matthias et al. · archived
2682. Towards Safer Mixed Traffic: A Deep Learning Approach to Autonomous Vehicle Detection and Driver Awareness ↗ · 2025 · El-Yabroudi, Mohammad et al. · indexed
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2687. PROUD—Public Road Urban Driverless-Car Test ↗ · 2015 · Broggi, Alberto et al. · indexed
2688. Road safety with self-driving vehicles: general limitations and road sharing with conventional vehicles ↗ · 2015 · Sivak, Michael et al. · indexed
2689. Highway Autonomous Driving Decision Making Using Reweighting Ego-Attention and Driver Assistance Module ↗ · 2025 · Li, Junyu et al. · indexed
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2692. Energy and flow effects of optimal automated driving in mixed traffic: Vehicle-in-the-loop experimental results · 2021 · Ard, Tyler et al. · archived
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2696. Learning to Navigate Intersections with Unsupervised Driver Trait Inference · 2021 · Liu, Shuijing et al. · archived
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2698. DeepMF: Deep Motion Factorization for Closed-Loop Safety-Critical Driving Scenario Simulation ↗ · 2025 · Li, Yizhe et al. · indexed
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2700. Cooperative Driving in Mixed Traffic of Manned and Unmanned Vehicles based on Human Driving Behavior Understanding ↗ · 2023 · Lu, Jiaxing et al. · indexed
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2704. Scenario-based Parameter Boundary Reduction Approach for Highly Automated Driving Vehicles · 2023 · Khatun, Marzana et al. · archived
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2706. Evaluating Model Mismatch Impacting CACC Controllers in Mixed Traffic Using a Driving Simulator · 2018 · Aramrattana, Maytheewat et al. · archived
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2708. A Driving Risk-Field Based Car-Following Model for Connected Autonomous Vehicles: Integrating Risk-End Crash Risk and Multi-Vehicles Dynamics ↗ · 2025 · Xue, Hengyu et al. · indexed
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2777. Societal Intelligence for Safer and Smarter Transportation ↗ · 2021 · Cheng, Xiang et al. · indexed
2778. Model predictive assisting control of vehicle following task based on driver model ↗ · 2010 · Mikami, Koji et al. · indexed
2779. Modeling Human Driver Behaviors When Following Autonomous Vehicles: An Inverse Reinforcement Learning Approach · 2022 · Wen, Xiao et al. · archived
2780. Feature-Based Test Scenario Selection in Automated Driving: Insights from SHAP Values ↗ · 2024 · Sohn, Tin Stribor et al. · indexed
2781. Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving ↗ · 2024 · Echterhoff, Jessica et al. · indexed
2782. Hierarchical Game-Theoretic Planning for Autonomous Vehicles · 2019 · Fisac, Jaime F. et al. · archived
2783. Assessing the impact of driver advisory systems on train driver workload, attention allocation and safety performance ↗ · 2022 · Verstappen, Vera JMP. et al. · indexed
2784. Formal methods for semi-autonomous driving ↗ · 2015 · Seshia, Sanjit A. et al. · indexed
2785. Framework for fuzzy surrogate metrics for modeling road safety ↗ · 2019 · Mattas, K. et al. · indexed
2786. Workload and Reliability of Predictor Displays in Aircraft Traffic Avoidance ↗ · 2000 · Wickens, C. D. · indexed
2787. Learning Active Inference MODELs of Perception and Control: Application to Car Following Task · 2023 · Garcia, Alfredo · archived
2788. Model Based STPA for Assisted Driving Functions ↗ · 2023 · Olberts, Bastian et al. · indexed
2789. An effective and intelligent driver assistance and warning system for sustained safety ↗ · 2014 · Thirupuranthakam, Suresh Kumar et al. · indexed
2790. Tactical Safety Reasoning - A Case for Autonomous Vehicles ↗ · 2018 · Serban, Alexandru Constantin et al. · indexed
2791. Incorporating the human analyst into the data fusion process by modeling situation awareness using fuzzy cognitive maps ↗ · 2009 · Jones, Rashaad E. T. et al. · indexed
2792. A Survey and Empirical Benchmarking of Grading Methods for Interactive Autonomous Driving Scenarios ↗ · 2026 · Ma, Runpu et al. · indexed
2793. A Survey of Driving Safety With Sensing, Vehicular Communications, and Artificial Intelligence-Based Collision Avoidance ↗ · 2021 · Fu, Yuchuan et al. · indexed
2794. Distributed Cognition on the road: Using EAST to explore future road transportation systems ↗ · 2018 · Banks, Victoria A. et al. · indexed
2795. Evaluating Multimodal Vision-Language Model Prompting Strategies for Visual Question Answering in Road Scene Understanding · 2025 · Keskar, Aryan et al. · archived
2796. The narrow road assistant - Next generation advanced driver assistance in inner-city ↗ · 2013 · Michalke, Thomas Paul et al. · indexed
2797. Vehicle State Estimation and Prediction for Autonomous Driving in a Round Intersection ↗ · 2023 · Li, Xinchen et al. · indexed
2798. A fuzzy ranking method for automated highway driving ↗ · 2004 · Saniee, M. et al. · indexed
2799. Fault Tolerance Analysis of Car-Following Models for Autonomous Vehicles ↗ · 2022 · Awal, Tanveer et al. · indexed
2800. Human driver emulation and cognitive decision making for autonomous cars ↗ · 2016 · Suresh, P. et al. · indexed
2801. Multi-Level Bayesian Decision-Making for Safe and Flexible Autonomous Navigation in Highway Environment ↗ · 2018 · Iberraken, Dimia et al. · indexed
2802. Navigation Control in an Urban Autonomous Ground Vehicle ↗ · 2011 · Surampudi, Bapiraju et al. · indexed
2803. A task analysis toward characterizing cyber-cognitive situation awareness (CCSA) in cyber defense analysts ↗ · 2016 · Gutzwiller, Robert S. et al. · indexed
2804. Auto-Scenario Generator for Autonomous Vehicle Safety: Multi-Modal Attention-Based Image Captioning Model Using Digital Twin Data ↗ · 2024 · Lee, Hojun et al. · indexed
2805. Calibration of Microsimulation Models for Advance Warning Systems ↗ · 2013 · Appiah, Justice et al. · indexed
2806. Improving situation awareness in cognitive networks using the Self-Organizing Map ↗ · 2011 · Karkkainen, Anssi P. · indexed
2807. Generic and complete vehicle dynamic models for open-source platforms ↗ · 2017 · Patil, Vadiraj · indexed
2808. Cooperative perception for autonomous vehicle control on the road: Motivation and experimental results ↗ · 2013 · Kim, Seong-Woo et al. · indexed
2809. A verification framework for behavioral safety of self‐driving cars ↗ · 2022 · Wu, Huihui et al. · indexed
2810. A Novel Concept for Identifying Critical Test Scenarios for the Validation of Automated Driving Functions ↗ · 2023 · Kurz, Clemens et al. · indexed
2811. Stochastic situation assessment in advanced driver assistance system for complex multi-objects traffic situations ↗ · 2012 · Berthelot, Adam et al. · indexed
2812. Efficiently Explained: Leveraging the SEEV Cognitive Model for Optimal Explanation Delivery · 2024 · Bairy, Akhila et al. · archived
2813. Collision Avoidance/Mitigation System: Motion Planning of Autonomous Vehicle via Predictive Occupancy Map · 2019 · Lee, Kibeom et al. · archived
2814. Experimental Validation of Safe MPC for Autonomous Driving in Uncertain Environments · 2023 · Batkovic, Ivo et al. · archived
2815. How do drivers merge heavy goods vehicles onto freeways? A semi-structured interview unveiling needs for communication and support ↗ · 2019 · Dreger, Felix A. et al. · indexed
2816. HD Maps for Connected and Automated Vehicles: Enabling Technologies and Future Directions ↗ · 2023 · Abdelkader, Ghadeer et al. · indexed
2817. Intelligence Assessment of Automated Driving Systems Based on Driving Intelligence Quotient ↗ · 2021 · Wang, Yulei et al. · indexed
2818. Explaining Autonomous Driving by Learning End-to-End Visual Attention ↗ · 2020 · Cultrera, Luca et al. · indexed
2819. A Driving Risk Field Model Considering Truck Performance and Levels of Automation for Automated Trucks in Ports ↗ · 2024 · Yi, Wei et al. · indexed
2820. DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving ↗ · 2015 · Chen, Chenyi et al. · indexed
2821. Scenario-Based Systems Engineering: An Approach Towards Automated Driving Function Development ↗ · 2019 · Sippl, Christoph et al. · indexed
2822. Automatic Generation of Safety-Critical Test Scenarios for Collision Avoidance of Road Vehicles ↗ · 2018 · Althoff, Matthias et al. · indexed
2823. Visual Aids for Merging Mixed Arrival Traffic ↗ · 2013 · Weber, Bernhard et al. · indexed
2824. A modified Hidden Markov Model (HMM)-based state machine model for driving behavior recognition: Effectiveness of features using different sub-HMMs · 2024 · David, Ruth et al. · archived
2825. Developing Driving Strategies Efficiently: A Skill-Based Hierarchical Reinforcement Learning Approach ↗ · 2024 · Gurses, Yigit et al. · indexed
2826. Tackling Occlusions &amp; Limited Sensor Range with Set-based Safety Verification · 2018 · Orzechowski, Piotr F. et al. · archived
2827. Discussion of “some statistical challenges in automated driving systems” ↗ · 2023 · Guo, Feng · indexed
2828. Safe Imitation Learning on Real-Life Highway Data for Human-like Autonomous Driving · 2021 · Acerbo, Flavia Sofia et al. · archived
2829. Occlusion-Aware Game-Theoretic Multi-Agent Planning for Connected Vehicles ↗ · 2025 · Li, Jiahong et al. · indexed
2830. Smooth Behavioral Estimation For Ramp Merging Control In Autonomous Driving ↗ · 2018 · Dong, Chiyu et al. · indexed
2831. Estimation and prediction of vehicle dynamics states based on fusion of OpenStreetMap and vehicle dynamics models · 2016 · Jiang, Kun et al. · archived
2832. The Role of Mental Computations in Current and Future En Route Air Traffic Control ↗ · 2012 · Murphy, Elizabeth D. et al. · indexed
2833. A meso-simulation approach for the estimation of traffic flows in presence of automated vehicles ↗ · 2020 · Crisalli, Umberto et al. · indexed
2834. Modeling of Complex Traffic Interaction Under Uncontrolled Intersection Scenario ↗ · 2024 · Li, Jiangkun et al. · indexed
2835. A Review of Motion Planning for Highway Autonomous Driving ↗ · 2019 · Claussmann, Laurene et al. · indexed
2836. Lane Prediction by Autonomous Vehicle in Highway Traffic using Artificial Neural Networks ↗ · 2021 · Raj, Namratha et al. · indexed
2837. Commonsense visual sensemaking for autonomous driving – On generalised neurosymbolic online abduction integrating vision and semantics ↗ · 2021 · Suchan, Jakob · indexed
2838. Pedestrian Emergence Estimation and Occlusion-Aware Risk Assessment for Urban Autonomous Driving ↗ · 2021 · Koc, Mert et al. · indexed
2839. Towards Certification of Autonomous Driving: Systematic Test Case Generation for a Comprehensive but Economically-Feasible Assessment of Lane Keeping Assist Algorithms ↗ · 2019 · Ponn, Thomas et al. · indexed
2840. Manoeuvre-based trajectory planning for highly autonomous vehicles on real road with traffic ↗ · 2009 · Vanholme, Benoit et al. · indexed
2841. Distributed Cooperative MPC for Autonomous Driving in Different Traffic Scenarios · 2020 · Mohseni, Fatemeh et al. · archived
2842. Scalable Autonomous Vehicle Safety Validation through Dynamic Programming and Scene Decomposition ↗ · 2020 · Corso, Anthony et al. · indexed
2843. Reinforcement Learning · 2024 · Redmill, Keith et al. · archived
2844. Spatial Sampling and Integrity in Lane Grid Maps · 2021 · Sanchez, Corentin et al. · archived
2845. A Novel Framework for Modeling and Synthesizing Stealthy Cyberattacks on Driver-Assist Enabled Vehicles ↗ · 2023 · Wang, Shian · indexed
2846. Comprehensive Assessment of Artificial Intelligence Tools for Driver Monitoring and Analyzing Safety Critical Events in Vehicles ↗ · 2024 · Yang, Guangwei et al. · indexed
2847. Development of cyber situation awareness model ↗ · 2015 · Adenusi, Dauda et al. · indexed
2848. Solar-Assisted Autonomous Vehicle with On-Device Perception and Driver State Monitoring ↗ · 2025 · Kulkarni, Nilima et al. · indexed
2849. Situation Reasoning in an Integrating Adjustable Autonomy Framework ↗ · 2011 · Yin, Li Li et al. · indexed
2850. Sustaining self-regulation processes in seamless learning scenarios by situation awareness ↗ · 2015 · D’Aniello, Giuseppe et al. · indexed
2851. Autonomous driving in urban environments: Boss and the Urban Challenge ↗ · 2008 · Urmson, Chris et al. · indexed
2852. Trajectory Planning of Automated Vehicles Using Real-Time Map Updates · 2023 · Szántó, Mátyás et al. · archived
2853. Imitating driver behavior with generative adversarial networks · 2017 · Kuefler, Alex et al. · archived
2854. Development Methodologies for Safety Critical Machine Learning Applications in the Automotive Domain: A Survey ↗ · 2021 · Rabe, Martin et al. · indexed
2855. Impact of localization errors on automated vehicle control strategies ↗ · 2017 · Patel, Raj Haresh et al. · indexed
2856. Integrated Modelling Approaches in Advanced Cockpit Automation ↗ · 1983 · Madni, Azad · indexed
2857. AFTEA Framework for Supporting Dynamic Autonomous Driving Situation ↗ · 2024 · Kim, Subi et al. · indexed
2858. Pay Attention to How You Drive: Safe and Adaptive Model-Based Reinforcement Learning for Off-Road Driving ↗ · 2024 · Wang, Sean J. et al. · indexed
2859. Receding horizon maneuver generation for automated highway driving · 2015 · Nilsson, Julia et al. · archived
2860. Odin: Team VictorTango's entry in the DARPA Urban Challenge ↗ · 2008 · Bacha, Andrew et al. · indexed
2861. Generating Adversarial Driving Scenarios in High-Fidelity Simulators ↗ · 2019 · Abeysirigoonawardena, Yasasa et al. · indexed
2862. Investigation of collision estimation with vehicle and pedestrian using CARLA simulation software · 2024 · Beg, Mohammad Sojon et al. · archived
2863. Mapping Brain Activity During Loss of Situation Awareness ↗ · 2014 · Catherwood, Di et al. · indexed
2864. Characterizing the Safety of Self-Driving Vehicles: A Fault Containment Protocol for Functionality Involving Vehicle Detection ↗ · 2018 · Pimentel, Juan et al. · indexed
2865. A behavioral planning framework for autonomous driving ↗ · 2014 · Wei, Junqing et al. · indexed
2866. Collision Risk Situation Awareness Evaluation Model Based on Bridge Operator Behavior Using Wearable Sensors ↗ · 2024 · Hwang, Taewoong et al. · indexed
2867. Toward autonomous vehicle safety verification from mobile cyber-physical systems perspective ↗ · 2011 · Kandula, Sailesh et al. · indexed
2868. Modeling and stability analysis of car following model for connected autonomous driving ↗ · 2024 · Yuan, Shoutong et al. · indexed
2869. A Geographically Distributed Simulation Framework for the Analysis of Mixed Traffic Scenarios Involving Conventional and Autonomous Vehicles ↗ · 2022 · Benatti, Simone et al. · indexed
2870. Scalable Decision Making with Sensor Occlusions for Autonomous Driving ↗ · 2018 · Bouton, Maxime et al. · indexed
2871. Annotating a Driving Experience Corpus with Behavior and Subjectivity ↗ · 2019 · Iwai, Ritsuko et al. · indexed
2872. Junior: The Stanford entry in the Urban Challenge ↗ · 2008 · Montemerlo, Michael et al. · indexed
2873. Interactive ramp merging planning in autonomous driving: Multi-merging leading PGM (MML-PGM) ↗ · 2017 · Dong, Chiyu et al. · indexed
2874. A Test Scenario Automatic Generation Strategy for Intelligent Driving Systems ↗ · 2019 · Gao, Feng et al. · indexed
2875. Towards Robust Decision-Making for Autonomous Driving on Highway ↗ · 2023 · Yang, Kai et al. · indexed
2876. Driving Behavior Modeling Using Naturalistic Human Driving Data With Inverse Reinforcement Learning ↗ · 2022 · Huang, Zhiyu et al. · indexed
2877. Uncertainty-Aware Model-Based Offline Reinforcement Learning for Automated Driving ↗ · 2023 · Diehl, Christopher et al. · indexed
2878. Equipping with Human Cognition: Driver Intention Recognition with Multimodal Information Fusion ↗ · 2024 · Zhang, Bo et al. · indexed
2879. Deep Reinforcement Learning Based High-level Driving Behavior Decision-making Model in Heterogeneous Traffic · 2019 · Bai, Zhengwei et al. · archived
2880. Applying a WNN-HMM Based Driver Model in Human Driver Simulation: Method and Test ↗ · 2018 · Shi, Bin et al. · indexed
2881. GNSS navigation system accuracy requirement for vehicle driving automation ↗ · 2002 · Jizhang Sang et al. · indexed
2882. A Survey on Imitation Learning Techniques for End-to-End Autonomous Vehicles · 2022 · Le Mero, Luc et al. · archived
2883. Surround vehicles trajectory analysis with recurrent neural networks ↗ · 2016 · Khosroshahi, Aida et al. · indexed
2884. Traffic light mapping, localization, and state detection for autonomous vehicles ↗ · 2011 · Levinson, Jesse et al. · indexed
2885. Evidential-Based Approach for Trajectory Planning With Tentacles, for Autonomous Vehicles · 2020 · Mouhagir, Hafida et al. · archived
2886. Distributed Real-Time Traffic Simulation for Autonomous Vehicle Testing in Urban Environments ↗ · 2018 · Sippl, Christoph et al. · indexed
2887. Intelligent Adaptive Decision-Making for Autonomous Vehicles: A Learning-Enhanced Game-Theoretic Approach in Interactive Scenarios · 2023 · Huang, Heye et al. · archived
2888. Driving Maneuver Estimation for Naturalist Driving Data with State Space Model Predictive Control ↗ · 2023 · Zhang, Jiahao et al. · indexed
2889. Autonomous Vehicle Guidance on Braunschweig's inner ring road within the Stadtpilot Project ↗ · 2011 · Saust, Falko et al. · indexed
2890. Stochastic Model Predictive Control With a Safety Guarantee for Automated Driving ↗ · 2021 · Brudigam, Tim et al. · indexed
2891. SOTIF-Oriented Risk Assessment: A Multi-Dimensional Model for Autonomous Driving ↗ · 2025 · Yao, Botao et al. · indexed
2892. A study of situation awareness of evading navigation using marine radar ↗ · 2009 · Tadatsugi Okazaki · indexed
2893. Topological Analysis of OpenDRIVE Models for Advanced Autonomous Vehicle Simulations ↗ · 2026 · Lógó, J. M. et al. · indexed
2894. Research on World Models for Connected Automated Driving: Advances, Challenges, and Outlook ↗ · 2025 · Chen, Nuo et al. · indexed
2895. Driver Assistance Control Based on Model Predictive Computation of Constraint Satisfaction ↗ · 2015 · Yamaguchi, Takuma et al. · indexed
2896. A collision avoidance system at intersections using Robust Model Predictive Control ↗ · 2016 · Schildbach, Georg et al. · indexed
2897. Toward Human-like Behavior Generation in Urban Environment Based on Markov Decision Process With Hybrid Potential Maps ↗ · 2018 · Guo, Chunzhao et al. · indexed
2898. Autonomous car following: A learning-based approach ↗ · 2015 · Lefèvre, Stéphanie et al. · indexed
2899. National Cyber Situation Awareness Model ↗ · 2018 · Bazrafkan, Mohammad Hossein et al. · indexed
2900. Safe Reinforcement Learning on Autonomous Vehicles · 2018 · Isele, David et al. · archived
2901. One solution of decision making algorithm for semi-autonomous driving ↗ · 2017 · Peles, Nenad et al. · indexed
2902. A Safety Analysis Method for Perceptual Components in Automated Driving ↗ · 2019 · Salay, Rick et al. · indexed
2903. Making Bertha See ↗ · 2013 · Franke, Uwe et al. · indexed
2904. Optimal trajectory generation for dynamic street scenarios in a Fren&amp;#x00E9;t Frame ↗ · 2010 · Werling, Moritz et al. · indexed
2905. Pedestrian Action Classification from a Vehicle's Perspective ↗ · 2024 · Villa, Jaime et al. · indexed
2906. Fusion Modeling Method of Car-Following Characteristics ↗ · 2019 · Li, Yufang et al. · indexed
2907. Vehicle and object models for robust tracking in traffic scenes using laser range images ↗ · 2003 · Streller, D. et al. · indexed
2908. Intention estimation for ramp merging control in autonomous driving ↗ · 2017 · Dong, Chiyu et al. · indexed
2909. Extraction of Road Users' Behavior from Realistic Data According to Assumptions in Safety-Related Models for Automated Driving Systems ↗ · 2023 · Certad, Novel et al. · indexed
2910. Optimal trajectories for time-critical street scenarios using discretized terminal manifolds ↗ · 2011 · Werling, Moritz et al. · indexed
2911. Up to the limits: Autonomous Audi TTS ↗ · 2012 · Funke, Joseph et al. · indexed
2912. Automatic Highway and Driver Aid Developments ↗ · 1961 · Morrison, Harold M. et al. · indexed
2913. Analysis of Driving Behavior in Adverse Weather Conditions ↗ · 2024 · Raiyn, Jamal et al. · indexed
2914. Driver and Driving Experience in Cars ↗ · 2017 · Bengler, Klaus · indexed
2915. A novel system for Advanced Driver Assistance Systems ↗ · 2010 · Sarshar, Mohammadreza et al. · indexed
2916. Improving safety in mixed traffic: A learning-based model predictive control for autonomous and human-driven vehicle platooning · 2022 · Wang, J. et al. · archived
2917. Optimal Road Traffic Operations for an Increasingly Autonomous and Connected Vehicle Fleet · 2017 · Osorio, Carolina · archived
2918. Analysis and Modeled Design of One State-Driven Autonomous Passing-Through Algorithm for Driverless Vehicles at Intersections ↗ · 2013 · Zhang, Kailong et al. · indexed
2919. &lt;title&gt;Visualization technique for improved situation awareness&lt;/title&gt; ↗ · 2000 · Walrath, James D. et al. · indexed
2920. Object-Level Fusion for Surround Environment Perception in Automated Driving Applications ↗ · 2017 · Aeberhard, Michael · indexed
2921. Tactical driving decisions of unmanned ground vehicles in complex highway environments: A deep reinforcement learning approach ↗ · 2020 · Wang, Huanjie et al. · indexed
2922. Optimizing test-set diversity: Trajectory clustering for scenario-based testing of automated driving systems ↗ · 2021 · Bernhard, Johannes et al. · indexed
2923. Advancing Road Sensing Technology: Functional Observer for Vehicle Road Profile Estimation ↗ · 2025 · Saber, Mohamed et al. · indexed
2924. Effectiveness evaluation of connected and automated vehicles’ driving loop: Node weights and driving reliability ↗ · 2025 · Yan, Junlian et al. · indexed
2925. A Combined Maneuver-Trajectory Approach to Cluster Real-World Driving Data ↗ · 2024 · Adolph, Laurenz et al. · indexed
2926. Trajectory Planning for Autonomous High-Speed Overtaking in Structured Environments Using Robust MPC ↗ · 2019 · Dixit, Shilp et al. · indexed
2927. CARLA: An Open Urban Driving Simulator ↗ · 2017 · Dosovitskiy, Alexey et al. · indexed
2928. Model in the Loop Testing and Validation of Embedded Autonomous Driving Algorithms ↗ · 2021 · Bruggner, Dennis et al. · indexed
2929. Adaptive Game-Theoretic Decision Making for Autonomous Vehicle Control at Roundabouts · 2018 · Tian, Ran et al. · archived
2930. SMc2f: Robust Scenario Mining for Robotic Autonomy from Coarse to Fine · 2026 · Chen, Yifei et al. · archived
2931. Using task analytic models to visualize model checker counterexamples · 2010 · Bolton, Matthew L. et al. · archived
2932. Kernelized convolutional transformer network based driver behavior estimation for conflict resolution at unsignalized roundabout ↗ · 2023 · Sharma, Omveer et al. · indexed
2933. NLP-Based Approach for Predicting HMI State Sequences Towards Monitoring Operator Situational Awareness ↗ · 2020 · V. P. Singh, Harsh et al. · indexed
2934. Analysis of Driving Crisis for Obstacles Avoidance and Dynamic Stability Maintenance Using Fuzzy Logic ↗ · 2009 · Davoudi, Mohsen et al. · indexed
2935. Active Safety: Decision-Making Using Potential Fields for Path-Following in Autonomous Driving ↗ · 2026 · Weihmayr, Daniel et al. · indexed
2936. A Survey of Deep RL and IL for Autonomous Driving Policy Learning ↗ · 2021 · Zhu, Zeyu et al. · indexed
2937. A multiclass simulation-based dynamic traffic assignment model for mixed traffic flow of connected and autonomous vehicles and human-driven vehicles ↗ · 2025 · Mehrabani, Behzad Bamdad et al. · indexed
2938. Deep Q-Network Based Decision Making for Autonomous Driving ↗ · 2019 · Ronecker, Max Peter et al. · indexed
2939. A Learning-Based Framework for Velocity Control in Autonomous Driving ↗ · 2016 · Lefevre, Stephanie et al. · indexed
2940. Measurements revealing Challenges in Radar Sensor Modeling for Virtual Validation of Autonomous Driving ↗ · 2018 · Holder, Martin et al. · indexed
2941. Continual Driving Policy Optimization with Closed-Loop Individualized Curricula ↗ · 2024 · Niu, Haoyi et al. · indexed
2942. Automated generation of virtual road scenarios for efficient tests of driver assistance systems ↗ · 2017 · Thieling, Jorn et al. · indexed
2943. IMPROVEMENT OF TRAFFIC SAFETY BY ROAD-VEHICLE COOPERATIVE SMART CRUISE SYSTEMS ↗ · 2000 · HOSAKA, Akio · indexed
2944. Deep Reinforcement Learning Based Collision Avoidance of Automated Driving Agent ↗ · 2024 · Chen, Haochong et al. · indexed
2945. Hybrid Systems Modeling and Reachability-Based Controller Design Methods for Vehicular Automation ↗ · 2014 · Park, Jaeyong et al. · indexed
2946. Actively Semi-Supervised Deep Rule-based Classifier Applied to Adverse Driving Scenarios ↗ · 2019 · Soares, Eduardo et al. · indexed
2947. Review of: "Can Human Drivers and Connected Autonomous Vehicles Co-exist in Lane-Free Traffic? A Microscopic Simulation Perspective" · 2025 · Bakibillah, A. S.M. · archived
2948. Toward fully autonomous vehicle navigation: From behavioral to hybrid multi-controller architectures · 2017 · Adouane, Lounis · archived
2949. Path planning for autonomous vehicles using model predictive control ↗ · 2017 · Liu, Chang et al. · indexed
2950. Global sensitivity analysis techniques to simplify the calibration of traffic simulation models. Methodology and application to the IDM car‐following model ↗ · 2014 · Ciuffo, Biagio et al. · indexed
2951. Automobility—A Social Problem and Theoretical Concept ↗ · 2001 · Beckmann, Jörg · indexed
2952. Evaluation of Simulated Training Results based on Deep Learning and Battlefield Situation Awareness ↗ · 2023 · Liu, ZhaoXiang et al. · indexed
2953. Evaluating Improvement in Situation Awareness and Decision-Making Through Automation : (Poster) ↗ · 2019 · Zaroukian, Erin et al. · indexed
2954. A strategy on situation evaluation for driver assistance systems in commercial vehicles considering pedestrians in urban traffic ↗ · 2011 · Otto, Carola et al. · indexed
2955. Functional decomposition—A contribution to overcome the parameter space explosion during validation of highly automated driving · 2019 · Amersbach, Christian et al. · archived
2956. Path planning and integrated collision avoidance for autonomous vehicles ↗ · 2017 · Berntorp, Karl · indexed
2957. Calibration Framework for Simulation Tools to Manage Uncertain Future Conditions ↗ · 2020 · Hosseini, Moein et al. · indexed
2958. Study on Shift Schedule of Automatic Transmission Based on Road Environment and Driving Intentions ↗ · 2012 · Song, Yong Dao et al. · indexed
2959. A Hybrid Optimal Acceleration Evaluation Model for Automated Driving Based on Importance Sampling Method ↗ · 2026 · Jiang, Haobin et al. · indexed
2960. Study of Situation Assessment Model and Perceptual Prediction of Smart Grid Network Using Situation Awareness Technology ↗ · 2022 · Li, Li et al. · indexed
2961. Intelligent Driving Risk Assessment Based on Driving Risk Force Field Modeling ↗ · 2024 · Zhao, Yong et al. · indexed
2962. The Role of Digital Twins in Connected and Automated Vehicles ↗ · 2022 · Schwarz, Chris et al. · indexed
2963. Deep reinforcement learning for autonomous vehicles: lane keep and overtaking scenarios with collision avoidance ↗ · 2023 · Ashwin, S. H. et al. · indexed
2964. Do the coach and athlete have the same «picture» of the situation? Distributed Situation Awareness in an elite sport context ↗ · 2014 · Macquet, Anne-Claire et al. · indexed
2965. Vehicle dynamic state estimation: state of the art schemes and perspectives ↗ · 2018 · Guo, Hongyan et al. · indexed
2966. Situation awareness and control errors of cyber weapons ↗ · 2013 · Tyugu, E. · indexed
2967. A Minimax-Based Decision-Making Approach for Safe Maneuver Planning in Automated Driving ↗ · 2023 · Saraoglu, Mustafa et al. · indexed
2968. Humanlike Driving: Empirical Decision-Making System for Autonomous Vehicles ↗ · 2018 · Li, Liangzhi et al. · indexed
2969. Intelligence Testing for Autonomous Vehicles: A New Approach ↗ · 2016 · Li, Li et al. · indexed
2970. Optimal Cooperative Path Planning Considering Driving Intention for Shared Control ↗ · 2020 · Li, Mingjun et al. · indexed
2971. Assisting drivers during overtaking using Car-2-Car communication and multi-agent systems ↗ · 2016 · Cara, Calin et al. · indexed
2972. Benefits of Behavior Driven Development in Scenario-based Verification of Automated Driving ↗ · 2022 · Lauer, Christoph et al. · indexed
2973. High-Risk Test Scenario Generation for Autonomous Vehicles at Roundabouts Using Naturalistic Driving Data ↗ · 2025 · Ren, Dian et al. · indexed
2974. A Proactive Collision Avoidance Model for Connected and Autonomous Vehicles in Mixed Traffic Flow ↗ · 2025 · Hu, Guojing et al. · indexed
2975. Enhanced metamodeling strategy for uncertainty quantification and reliability verification in heterogeneous connected and automated vehicle platoon control models ↗ · 2026 · Gutiérrez-Moizant, Ramón et al. · indexed
2976. A Multi-Vehicle Trajectories Generator to Simulate Vehicle-to-Vehicle Encountering Scenarios ↗ · 2019 · Ding, Wenhao et al. · indexed
2977. Sensitivity Analysis of Car-following Models: Methodology and Application ↗ · 2011 · Punzo, Vincenzo et al. · indexed
2978. Generating Critical Test Scenarios for Automated Vehicles with Evolutionary Algorithms ↗ · 2019 · Klischat, Moritz et al. · indexed
2979. Lanelets: Efficient map representation for autonomous driving ↗ · 2014 · Bender, Philipp et al. · indexed
2980. Human-Like Decision Making and Control for Autonomous Driving ↗ · 2022 · Hang, Peng et al. · indexed
2981. Scalability in Perception for Autonomous Driving: Waymo Open Dataset · 2020 · Sun, Pei et al. · archived
2982. Reliability Evaluation of Visualization Performance of Convolutional Neural Network Models for Automated Driving ↗ · 2021 · Zhang, Chenkai et al. · indexed
2983. Digital Twins for Cognitive Situation Awareness ↗ · 2024 · Blasch, Erik · indexed
2984. Vehicle Collision Avoidance Model Based on Safety Potential Field Theory under Connected and Automated Vehicle Environment ↗ · 2025 · Xia, Fanjun et al. · indexed
2985. Surveillance and privacy – Beyond the panopticon. An exploration of 720-degree observation in level 3 and 4 vehicle automation ↗ · 2021 · Jannusch, Tim et al. · indexed
2986. Network Security Situation Awareness Adaptive Control Model Based on Cognitive Network ↗ · 2010 · Liu, Xiao Wu et al. · indexed
2987. Vehicle-In-the-Loop Test Environment for Autonomous Driving with Microscopic Traffic Simulation ↗ · 2018 · Tettamanti, Tamas et al. · indexed
2988. A safe driver assisted merge protocol ↗ · 2012 · Kim, Bo Hyun J. et al. · indexed
2989. A path planner for autonomous driving on highways using a human mimicry approach with Binary Decision Diagrams ↗ · 2015 · Claussmann, Laurene et al. · indexed
2990. Global stability of vehicle-with-driver dynamics via Sum-of-Squares programming ↗ · 2026 · Gulisano, Martino et al. · indexed
2991. Metadata in the description of road scenarios for testing autonomous vehicles ↗ · 2025 · Rodak, Aleksandra · indexed
2992. Verified hybrid controllers for automated vehicles ↗ · 1998 · Lygeros, J. et al. · indexed
2993. Situation Awareness Model of HVS Based on Fuzzy Analytic Hierarchy Process and LSTM-attention Mechanism ↗ · 2021 · Zhang, Xian et al. · indexed
2994. Decentralized model predictive control for smooth coordination of automated vehicles at intersection · 2015 · Qian, Xiangjun et al. · archived
2995. A review on reinforcement learning-based highway autonomous vehicle control ↗ · 2024 · Irshayyid, Ali et al. · indexed
2996. ODD-based Query-time Scenario Mutation Framework for Autonomous Driving Scenario databases ↗ · 2024 · Tang, Yun et al. · indexed
2997. Driving tests for self-driving cars ↗ · 2018 · Coelingh, Erik et al. · indexed
2998. Policy-Gradient and Actor-Critic Based State Representation Learning for Safe Driving of Autonomous Vehicles ↗ · 2022 · Gupta, Abhishekh et al. · indexed
2999. Collision Avoidance Strategy by Utilizing Safety Envelope for Automated Driving System: Hazardous Situation Case ↗ · 2026 · Gao, Mingwei et al. · indexed
3000. Navigating Occluded Intersections with Autonomous Vehicles Using Deep Reinforcement Learning · 2018 · Isele, David et al. · archived
3001. Efficient Simulation Based Calibration of Automated Driving Functions Based on Sensitivity Based Optimization ↗ · 2020 · Fraikin, Nicolas et al. · indexed
3002. Optimal Trajectory Planning Algorithm for Connected and Autonomous Vehicles towards Uncertainty of Actuated Traffic Signals · 2023 · Shafik, Amr et al. · archived
3003. Evaluation of visualization performance of CNN models using driver model ↗ · 2021 · Zhang, Chenkai et al. · indexed
3004. Decision making for autonomous vehicles: Combining safety and optimality ↗ · 2020 · Verbakel, J.J. et al. · indexed
3005. Multi-Frame Grid Perspective for Traffic Video Captioning and Context-Aware VQA ↗ · 2026 · Prajapati, Sanjita et al. · indexed
3006. From Electronic Design Automation to Automotive Design Automation ↗ · 2019 · Lin, Chung-Wei · indexed
3007. GTP-UDrive: Unified Game-Theoretic Trajectory Planner and Decision-Maker for Autonomous Driving in Mixed Traffic Environments ↗ · 2024 · Naidja, Nouhed et al. · indexed
3008. E2ETrADS: end-to-end transformer based autonomous driving system for adverse weather conditions · 2026 · Spanogianopoulos, Sotirios et al. · archived
3009. Attributation Analysis of Reinforcement Learning Based Highway Driver ↗ · 2022 · Pankiewicz, Nikodem et al. · indexed
3010. A Comprehensive Hazard Analysis Technique for Safety-Critical Automotive Systems ↗ · 2001 · Amberkar, Sanket et al. · indexed
3011. Development of Autonomous Car—Part II: A Case Study on the Implementation of an Autonomous Driving System Based on Distributed Architecture ↗ · 2015 · Jo, Kichun et al. · indexed
3012. Simulating and Modelling the Safety Impact of Connected and Autonomous Vehicles in Mixed Traffic: Platoon Size, Sensor Error, and Path Choice ↗ · 2024 · Papadoulis, Alkis et al. · indexed
3013. Scenario based Simulation Testing of Autonomous Vehicle using Malaysian Road ↗ · 2021 · Aparow, Vimal Rau et al. · indexed
3014. Model-based semiautomatic safety analysis of programmable systems in automotive applications ↗ · 2001 · Papadopoulos, Y. · indexed
3015. Incorporating ESO into Deep Koopman Operator Modeling for Control of Autonomous Vehicles ↗ · 2024 · Chen, Hao et al. · indexed
3016. Boosting intelligence analysis process and situation awareness using the self-organizing map ↗ · 2009 · Kärkkäinen, Anssi P. · indexed
3017. Neuro-symbolic deep reinforcement learning for safe urban driving using low-cost sensors. ↗ · 2026 · Albilani, Mohamad · indexed
3018. Coordinating Tire Forces to Avoid Obstacles Using Nonlinear Model Predictive Control ↗ · 2019 · Brown, Matthew et al. · indexed
3019. Automated Generation of OpenSCENARIO Scenarios for Evaluating Advanced Driver Assistance Systems ↗ · 2023 · R, Abhiram et al. · indexed
3020. A Cooperative Optimal Control Framework for Connected and Automated Vehicles in Mixed Traffic Using Social Value Orientation · 2022 · Le, Viet-Anh et al. · archived
3021. When Plans Change: Task Analysis and Taxonomy of 3-D Situation Awareness Challenges of UAV Replanning · 2010 · Cook, Maia B. et al. · archived
3022. Track Fusion and Behavioral Reasoning for Moving Vehicles Based on Curvilinear Coordinates of Roadway Geometries ↗ · 2017 · Jo, Kichun et al. · indexed
3023. Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving ↗ · 2020 · Cao, Zhangjie et al. · indexed
3024. Comparison and evaluation of advanced motion models for vehicle tracking ↗ · 2008 · Schubert, Robin et al. · indexed
3025. Requirements and Design for Better Cultural Situation Awareness: Delivering the Right Information ↗ · 2012 · Onal, Emrah et al. · indexed
3026. Shared Information Between Pilots and Controllers in Tactical Air Traffic Control ↗ · 2000 · Farley, Todd et al. · indexed
3027. Knowledge Transfer via Dynamic Policy Fusion Between Autonomous Driving Agents · 2025 · Maad, Fatima-Ezzahra et al. · archived
3028. Interest Manager for Networked Driving Simulation Based on High-Level Architecture ↗ · 2017 · Abdelgawad, Kareem et al. · indexed
3029. Adaptive Game-Theoretic Decision Making for Autonomous Vehicle Control at Roundabouts ↗ · 2018 · Tian, Ran et al. · indexed
3030. Hazard Awareness of Construction Site Dumper Drivers ↗ · 2012 · Bohm, Jonathan et al. · indexed
3031. Urban Driving with Multi-Objective Deep Reinforcement Learning · 2019 · Li, Changjian et al. · archived
3032. Motion planning for autonomous driving with a conformal spatiotemporal lattice ↗ · 2011 · McNaughton, Matthew et al. · indexed
3033. Application of viability theory for road vehicle active safety during cornering manoeuvres ↗ · 2014 · Vandanjon, P.-O. et al. · indexed
3034. Modeling an ITS Management Solution for Mixed Highway Traffic With Eclipse MOSAIC ↗ · 2022 · Schrab, Karl et al. · indexed
3035. Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving ↗ · 2019 · Hoel, Carl-Johan et al. · indexed
3036. Autonomous Situation Awareness Through Threat Data Integration ↗ · 2007 · Noh, Sanguk · indexed
3037. Data Fusion ↗ · 2014 · Leonhardt, Axel et al. · indexed
3038. Non-Gaussian Chance-Constrained Trajectory Planning for Autonomous Vehicles Under Agent Uncertainty · 2020 · Wang, Allen et al. · archived
3039. Towards Robust Autonomous Vehicle Software: Extending SAM for a Holistic Security Analysis ↗ · 2024 · Fischer, Alexander et al. · indexed
3040. Driver-Centric Predictive Risk Map Modeling via Deep Reinforcement Learning ↗ · 2024 · Chen, Danni et al. · indexed
3041. Automatic Intersection Management in Mixed Traffic Using Reinforcement Learning and Graph Neural Networks · 2023 · Klimke, Marvin et al. · archived
3042. Designing a Naturalistic Driving Situation Extraction Method to Improve the Learning Process of Automated Driving Technology ↗ · 2024 · Kim, Jonghwa et al. · indexed
3043. Scenario-Driven Reinforcement Learning Method for Autonomous Driving Inspired by Item Response Theory ↗ · 2026 · Sun, Chengju et al. · indexed
3044. Safe reinforcement learning with mixture density network, with application to autonomous driving ↗ · 2022 · Baheri, Ali · indexed
3045. Policy-Gradient and Actor-Critic Based State Representation Learning for Safe Driving of Autonomous Vehicles ↗ · 2020 · Gupta, Abhishek et al. · indexed
3046. Autonomous Vehicle Dataset with Real Multi-Driver Scenes and Biometric Data ↗ · 2023 · Rosique, Francisca et al. · indexed
3047. Parameterization of automated driving functions in virtual environments based on characteristic test scenarios ↗ · 2022 · Riegl, Peter et al. · indexed
3048. Robust Intensity-Based Localization Method for Autonomous Driving on Snow–Wet Road Surface · 2017 · Aldibaja, Mohammad et al. · archived
3049. Deep reinforcement‐learning‐based driving policy for autonomous road vehicles ↗ · 2019 · Makantasis, Konstantinos et al. · indexed
3050. Safe and Computational Efficient Imitation Learning for Autonomous Vehicle Driving · 2020 · Acerbo, Flavia Sofia et al. · archived
3051. Reinforcement Learning for Shared Driving ↗ · 2023 · Ko, Sangjin et al. · indexed
3052. Planning Long Dynamically Feasible Maneuvers for Autonomous Vehicles · 2009 · Likhachev, Maxim et al. · archived
3053. MSMA: Multi-Agent Trajectory Prediction in Connected and Autonomous Vehicle Environment with Multi-Source Data Integration ↗ · 2024 · Chen, Xi et al. · indexed
3054. Object scene flow for autonomous vehicles · 2015 · Menze, Moritz et al. · archived
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3056. Spatially Formulated Connected Automated Vehicle Trajectory Optimization with Infrastructure Assistance ↗ · 2022 · Yi, Ran et al. · indexed
3057. State of ADAS, Automation, and Connectivity ↗ · 2023 · Tanwer, Nishant · indexed
3058. High-speed autonomous navigation of unknown environments using learned probabilities of collision ↗ · 2014 · Richter, Charles et al. · indexed
3059. Hierarchical Trajectory Planning of an Autonomous Car Based on the Integration of a Sampling and an Optimization Method ↗ · 2018 · Lim, Wonteak et al. · indexed
3060. MDP-Based High-Level Decision-Making for Combining Safety and Optimality: Autonomous Overtaking ↗ · 2025 · Wang, Xue-Fang et al. · indexed
3061. Matching and decision for vehicle tracking in road situation ↗ · 2003 · Gruyer, D. et al. · indexed
3062. Spatio-Temporal Planning in Multi-Vehicle Scenarios for Autonomous Vehicle Using Support Vector Machines ↗ · 2020 · Morsali, Mahdi et al. · indexed
3063. Generating Realistic Traffic Scenarios: A Deep Learning Approach Using Generative Adversarial Networks (GANs) · 2025 · Shadab Alam, Md et al. · archived
3064. Enhancing Expressway Traffic State Perception: A Novel BAS-Optimized PSO-BP Fusion Model with Tensor Completion. ↗ · 2026 · Yin, J et al. · indexed
3065. Deep Semantics for Explainable Visuospatial Intelligence : Perspectives on Integrating Commonsense Spatial Abstractions and Low-Level Neural Features · 2019 · Suchan, Jakob · archived
3066. ADAS-RL: Safety learning approach for stable autonomous driving ↗ · 2022 · Lee, Dongsu et al. · indexed
3067. Development of Autonomous Car—Part I: Distributed System Architecture and Development Process ↗ · 2014 · Jo, Kichun et al. · indexed
3068. A Reconfigurable Framework for Vehicle Localization in Urban Areas · 2022 · Viana, Kerman et al. · archived
3069. On autonomous driving: Why holistic and feature matching must be used in localization? ↗ · 2017 · Aldibaja, Mohammad et al. · indexed
3070. Collision avoidance maneuver for an autonomous vehicle ↗ · 2006 · Durali, Mohammad et al. · indexed
3071. Toward Learning Realizable Scenario-Based, Formal Requirements Specifications ↗ · 2017 · Schmelter, David et al. · indexed
3072. Autonomous safety group behavior of vehicle simulation ↗ · 2013 · Ching-Shoei Chiang et al. · indexed
3073. Towards Scalable &amp; Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation ↗ · 2024 · Gupta, Piyush et al. · indexed
3074. Adaptive and Reliable Multi-Risk Assessment and Management Control Strategy for Autonomous Navigation in Dense Roundabouts ↗ · 2023 · Bellingard, Kévin et al. · indexed
3075. Data Assimilation Using a Mesoscopic Lighthill–Whitham–Richards Model and Loop Detector Data: Methodology and Large-Scale Network Application ↗ · 2016 · Duret, Aurélien et al. · indexed
3076. Hierarchical Reinforcement Learning for Dynamic Autonomous Vehicle Navigation at Intelligent Intersections · 2023 · Qian, Sun et al. · archived
3077. Hierarchical reinforcement learning for self‐driving decision‐making without reliance on labelled driving data ↗ · 2020 · Duan, Jingliang et al. · indexed
3078. A study on test automation of IVN of intelligent vehicle using model-based testing ↗ · 2013 · Kabsu Han et al. · indexed
3079. Defect Identification With Model-Based Test Automation ↗ · 2003 · Blackburn, Mark et al. · indexed
3080. A Two-level Path Planning Method for On-road Autonomous Driving ↗ · 2012 · Ma, Liang et al. · indexed
3081. Neural Network Model Predictive Motion Control Applied to Automated Driving With Unknown Friction ↗ · 2021 · Spielberg, Nathan A. et al. · indexed
3082. Enhancing cyber situation awareness for Non-Expert Users using visual analytics ↗ · 2016 · Legg, Philip A. · indexed
3083. On safety assurance case for deep learning based image classification in highly automated driving ↗ · 2021 · Agarwal, Himanshu et al. · indexed
3084. Intelligent Energy Management Agent for a Parallel Hybrid Vehicle—Part I: System Architecture and Design of the Driving Situation Identification Process ↗ · 2005 · Langari, R. et al. · indexed
3085. Map-relative localization in lane-level maps for ADAS and autonomous driving ↗ · 2014 · Matthaei, Richard et al. · indexed
3086. Conflict Detection in Automated Vehicle Testing Through Gamification ↗ · 2024 · Jegarian, Majid et al. · indexed
3087. A complete fault diagnostic system for automated vehicles operating in a platoon ↗ · 2001 · Rajamani, Rajesh et al. · indexed
3088. Decision-Making Model of Autonomous Driving at Intersection Based on Unified Driving Operational Risk Field ↗ · 2023 · Lu, Ziming et al. · indexed
3089. Better and safer autonomous driving with predicted object relevance ↗ · 2024 · Ceccarelli, Andrea et al. · indexed
3090. Dynamic Occupancy Grid Map with Semantic Information Using Deep Learning-Based BEVFusion Method with Camera and LiDAR Fusion ↗ · 2024 · Jang, Harin et al. · indexed
3091. A general and practical path planning framework for autonomous vehicles ↗ · 2016 · Wang, Xiao et al. · indexed
3092. Local trajectory planning and control for autonomous vehicles using the adaptive potential field ↗ · 2017 · Kim, Dongchan et al. · indexed
3093. Dimensionality reduction and identification of valid parameter bounds for the efficient calibration of automated driving functions ↗ · 2019 · Fraikin, Nicolas et al. · indexed
3094. Applications for Semantic 3D Streetspace Models and Their Requirements—A Review and Look at the Road Ahead ↗ · 2024 · Beil, Christof et al. · indexed
3095. Systematic Error Correction of SUMO Traffic Simulator's HBEFA Vehicle Emission Model ↗ · 2024 · Varga, Balázs et al. · indexed
3096. Driving into the Digital Age: Understanding Communal Knowledge and Cybersecurity in Modern Vehicles ↗ · 2025 · Wong, Ronan et al. · indexed
3097. Terrain perception for DEMO III ↗ · 2002 · Bellutta, P. et al. · indexed
3098. CLIP-BEV: A Late-Fusion Framework for Multimodal Scene Understanding Using Vision Language Models ↗ · 2026 · Daraee, Fatemeh et al. · indexed
3099. Event-Driven Decision-Making for Autonomous Vehicles in Mixed-Traffic Roundabouts ↗ · 2026 · Leyer, Daniel et al. · indexed
3100. Tracking of vehicle trajectory by combining a camera and a laser rangefinder · 2009 · Goyat, Y. et al. · archived
3101. Vision meets robotics: The KITTI dataset ↗ · 2013 · Geiger, Andreas et al. · indexed
3102. Ego-motion and Surrounding Vehicle State Estimation Using a Monocular Camera · 2019 · Hayakawa, Jun et al. · archived
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3104. Map-Based Precision Vehicle Localization in Urban Environments · 2007 · Levinson, J. et al. · archived
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3106. Map-Based Precision Vehicle Localization in Urban Environments ↗ · 2008 · Levinson, Jesse et al. · indexed
3107. Offline Calibration of Dynamic Traffic Assignment ↗ · 2007 · Balakrishna, Ramachandran et al. · indexed
3108. Efficient and Interaction-Aware Trajectory Planning for Autonomous Vehicles with Particle Swarm Optimization · 2024 · Song, Lin et al. · archived
3109. Smart multi-agent traffic coordinator for autonomous vehicles at intersections ↗ · 2017 · Lamouik, Imad et al. · indexed
3110. Autonomous Driving Agents for Safe Road Junctions Through Deep Reinforcement Learning ↗ · 2024 · Yun, Jie et al. · indexed
3111. Learning-based modeling of human-autonomous vehicle interaction for improved safety in mixed-vehicle platooning control ↗ · 2024 · Wang, Jie et al. · indexed
3112. BCAS: A Blockchain Model for Collision Avoidance to Prevent Overtaking Accidents on Roads ↗ · 2022 · Malik, Nadeem et al. · indexed
3113. Addressing Model Complexity in Automotive System Development - Selection of System Model Elements for Allocation of Requirements ↗ · 2016 · Liebel, Grischa et al. · indexed
3114. Path Planning and Tracking for Vehicle Collision Avoidance Based on Model Predictive Control With Multiconstraints ↗ · 2016 · Ji, Jie et al. · indexed
3115. An object detection algorithm combining self-attention and YOLOv4 in traffic scene. ↗ · 2023 · Lu, Kewei et al. · indexed
3116. Path Planning for Autonomous Vehicles in Unknown Semi-structured Environments ↗ · 2010 · Dolgov, Dmitri et al. · indexed
3117. A hybrid vehicle model for advanced cruise control ↗ · 2004 · Qunzhi Zhou et al. · indexed
3118. Autonomous Vehicle Decision-Making with Policy Prediction for Handling a Round Intersection ↗ · 2023 · Li, Xinchen et al. · indexed
3119. Video based localization for Bertha ↗ · 2014 · Ziegler, Julius et al. · indexed
3120. Deep Learning-based Image 3D Object Detection for Autonomous Driving: Review ↗ · 2022 · Alaba, Simegnew Yihunie et al. · indexed
3121. Deep Hierarchical Reinforcement Learning for Autonomous Driving with Distinct Behaviors ↗ · 2018 · Chen, Jianyu et al. · indexed
3122. Improving safety in mixed traffic: A learning-based model predictive control for autonomous and human-driven vehicle platooning ↗ · 2024 · Wang, J. et al. · indexed
3123. Priority Tracking of Pedestrians for Self-Driving Cars ↗ · 2022 · Nino, Jose et al. · indexed
3124. Risk-Aware Reinforcement Learning for Non-Conservative Motion Planning in Uncertain Autonomous Driving Environments ↗ · 2025 · Hu, Chuan et al. · indexed
3125. Exploiting 3D semantic scene priors for online traffic light interpretation ↗ · 2015 · Barnes, Dan et al. · indexed
3126. Taking Others' Perspectives Enhances Situation Awareness in the Smart Home Interface ↗ · 2019 · Yu, Sanghyeong et al. · indexed
3127. Developing robust traffic navigation scenarios for autonomous ship testing: an integrated approach to scenario extraction, characterization, and sampling in complex waters ↗ · 2025 · Xin, Xuri et al. · indexed
3128. Obstacle avoidance planning of autonomous vehicles using deep reinforcement learning ↗ · 2022 · Qian, Yubin et al. · indexed
3129. The Demo III UGV program: a testbed for autonomous navigation research ↗ · 2002 · Shoemaker, C.M. et al. · indexed
3130. An improved approach for the sensitivity analysis of computationally expensive microscopic traffic models: a case study of the Zurich network in VISSIM ↗ · 2013 · Ge, Qiao et al. · indexed
3131. Challenges of Complex Software Development for Emerging Technologies in Automotive Industry: Bridging the Gap of Knowledge Between the Industry Practitioners ↗ · 2022 · Abdul Hamid, Umar Zakir et al. · indexed
3132. Hybrid Map-Based Navigation Method for Unmanned Ground Vehicle in Urban Scenario ↗ · 2013 · Hu, Yuwen et al. · indexed
3133. A track-to-track association method for automotive perception systems ↗ · 2012 · Houenou, Adam et al. · indexed
3134. Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization ↗ · 2013 · Brubaker, Marcus A. et al. · indexed
3135. Multi-Target Tracking using a 3D-Lidar sensor for autonomous vehicles ↗ · 2013 · Choi, Jaebum et al. · indexed
3136. Machine Learning Techniques for Undertaking Roundabouts in Autonomous Driving ↗ · 2019 · Cuenca, Laura García et al. · indexed
3137. Laser Scanners for Driver-Assistance Systems in Intelligent Vehicles [Applications of Control] ↗ · 2009 · Velupillai, Sankaranarayanan et al. · indexed
3138. Fast pixelwise road inference based on Uniformly Reweighted Belief Propagation ↗ · 2015 · Passani, Mario et al. · indexed
3139. Reliability of Multi-Sensor Fusion for Next Generation Cars and Trucks ↗ · 2014 · Agaram, Venkatesh · indexed
3140. Equilibrium Selective Role Coordination for Autonomous Driving ↗ · 2019 · Iwahashi, Naoto · indexed
3141. Precision tracking with sparse 3D and dense color 2D data ↗ · 2013 · Held, David et al. · indexed
3142. ADDMS: Advanced Driver Digital Monitoring System for Efficient Intelligent Traffic Management ↗ · 2024 · Agarwal, Piyush et al. · indexed
3143. Free Space Detection Algorithm Using Object Tracking for Autonomous Vehicles ↗ · 2021 · Lee, Yeongwon et al. · indexed
3144. Motion Estimation Using Region-Level Segmentation and Extended Kalman Filter for Autonomous Driving ↗ · 2021 · Wei, Hongjian et al. · indexed
3145. Safe Adaptive Deep Reinforcement Learning for Autonomous Driving in Urban Environments. Additional Filter? How and Where? ↗ · 2021 · Alighanbari, Sina et al. · indexed
3146. Law Enforcement Perspectives on Police Vehicle Cybersecurity ↗ · 2023 · Roberts, Shannon C. et al. · indexed
3147. Collision Avoidance of Driving Robotic Vehicles Based on Model Predictive Control with Improved APF ↗ · 2025 · Zhao, Lei et al. · indexed
3148. CAE Process Workflow Management of an Automotive Simulation Scenario ↗ · 2014 · Stampouli, Maria et al. · indexed
3149. Intersection decision model based on state adversarial deep reinforcement learning ↗ · 2025 · Jiang, Anni et al. · indexed
3150. Explainable Deep Adversarial Reinforcement Learning Approach for Robust Autonomous Driving ↗ · 2025 · Wang, Chuyao et al. · indexed
3151. Twin Scenarios Establishment for Autonomous Vehicle Digital Twin Empowered SOTIF Assessment ↗ · 2023 · Hou, Zhonglin et al. · indexed
3152. Robust Vehicle Localization Using Entropy-Weighted Particle Filter-based Data Fusion of Vertical and Road Intensity Information for a Large Scale Urban Area ↗ · 2017 · Kim, Hyungjin et al. · indexed
3153. A Novel Decision-making Algorithm of Autonomous Vehicle Based on Improved SVM ↗ · 2020 · Wang, Xin et al. · indexed
3154. Traffic State Lane-Level Estimation Based on Transformer and Vehicle Trajectory Data. ↗ · 2026 · Bai W et al. · indexed
3155. Practical implementation of obstacle avoidance strategies in the truly multi-vehicle Autonomous Robot Racing Competition ↗ · 2025 · Shin, Jiyou et al. · indexed
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3157. Vehicle Schedule Simulation with AnyLogic ↗ · 2010 · Merkuryeva, Galina et al. · indexed
3158. Specification-Guided Data Aggregation for Semantically Aware Imitation Learning · 2023 · Shah, Ameesh et al. · archived
3159. A Traffic Information Fusion Algorithm Based on Self-Organizing Maps ↗ · 2011 · Bao, Lixia · indexed
3160. System Analysis Using Multiple Expert Tools ↗ · 2011 · Ram V.Gopal et al. · indexed
3161. Vehicle localization with low cost radar sensors ↗ · 2016 · Ward, Erik et al. · indexed
3162. Enforcing safety of cyberphysical systems using flatness and abstraction ↗ · 2011 · Colombo, Alessandro et al. · indexed
3163. Deep Learning Based Motion Planning For Autonomous Vehicle Using Spatiotemporal LSTM Network · 2018 · Bai, Zhengwei et al. · archived
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3165. Unknown input observer design for vehicle lateral dynamics described by Takagi–Sugeno fuzzy systems ↗ · 2021 · Youssfi, Naoufal El et al. · indexed
3166. Accurate Global Localization Using Visual Odometry and Digital Maps on Urban Environments ↗ · 2012 · Parra, I. et al. · indexed
3167. Multi-Target Track-to-Track Fusion Based on Permutation Matrix Track Association ↗ · 2018 · Lee, Kuan-Hui et al. · indexed
3168. Safe path planning among multi obstacles ↗ · 2011 · Do, Quoc Huy et al. · indexed
3169. HiLO: High-Level Object Fusion for Autonomous Driving Using Transformers ↗ · 2025 · Osterburg, Timo et al. · indexed
3170. Dynamic Cell Modeling for Accurate SOC Estimation in Autonomous Electric Vehicles · 2023 · Ajao, Qasim et al. · archived
3171. Distributed Artificial Intelligence for Traffic Assignment in Smart Cities ↗ · 2023 · Elimadi, Manal et al. · indexed
3172. Machine Learning-Driven Calibration of Traffic Models based on a Real-time Video Analysis ↗ · 2024 · Lopukhova, Ekaterina et al. · indexed
3173. The Comparison of Two Kinematic Motion Models for Autonomous Shipping Maneuvers ↗ · 2022 · Wang, Yufei et al. · indexed
3174. State-of-Health Estimation for Li-Ion Batteries of Real-World Electric Vehicles: Progress, Challenges, and Prospects ↗ · 2026 · Zhu, Ren et al. · indexed
3175. Dynamic traffic assignment: A review of the methodological advances for environmentally sustainable road transportation applications ↗ · 2018 · Wang, Yi et al. · indexed
3176. LPMP: A Bio-Inspired Model for Visual Localization in Challenging Environments ↗ · 2022 · Colomer, Sylvain et al. · indexed
3177. Deep Reinforcement Learning With NMPC Assistance Nash Switching for Urban Autonomous Driving ↗ · 2023 · Alighanbari, Sina et al. · indexed
3178. Hybrid PDA/FIR Filtering for Preceding Vehicle Tracking Using Automotive Radars ↗ · 2021 · Pak, Jung Min · indexed
3179. Enhancing Urban Intelligent Traffic Simulations of Human-Driven Car-Following Behavior Using Deep Learning Techniques ↗ · 2024 · Ni, Runze et al. · indexed
3180. AN INTEGRATED INTELLIGENCE DEVELOPMENT DESIGN CAE MODEL UTILIZING <i>NEW JIT</i>: APPLICATION TO AUTOMOTIVE HIGH RELIABILITY ASSURANCE ↗ · 2008 · AMASAKA, KAKURO · indexed
3181. A semantic model bridging DISARM framework and Situation Awareness for disinformation Attacks Attribution ↗ · 2024 · Cavaliere, Danilo et al. · indexed
3182. On Vehicle Path Generation Method for Collision Avoidance using Mixed Integer Programming ↗ · 2007 · Mukai, Masakazu et al. · indexed
3183. Automotive engine diagnosis and control via nonlinear estimation ↗ · 1998 · Kim, Yong-Wha et al. · indexed
3184. Machine Learning-Driven Calibration of Traffic Models Based on a Real-Time Video Analysis ↗ · 2024 · Lopukhova, Ekaterina A. et al. · indexed
3185. SuperiorGAT: Graph Attention Networks for SparseLiDAR Point Cloud Reconstruction in AutonomousSystems · 2026 · Awedat, Khalfalla et al. · archived
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3187. THE GRAPHICAL REPRESENTATION IN CATIA V5 OF AN AUTOMOTIVE TRANSMISSION ↗ · 2016 · Marcel-Boghian, Gabriel · indexed
3188. Comparison of Different Models for Electric Vehicle with Heating System ↗ · 2017 · Desreveaux, Anatole et al. · indexed
3189. Modelling Forward Osmosis Treatment of Automobile Wastewaters ↗ · 2019 · Haupt, Anita et al. · indexed