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.

1291 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. Modelling level 1 situation awareness in driving: A cognitive architecture approach · 2024 · Rehman, Umair et al. · archived
4. Towards Context-Aware Modeling of Situation Awareness in Conditionally Automated Driving · 2024 · Avetisyan, Lilit et al. · archived
5. Using an Integrated Cognitive Architecture to Model the Effect of Environmental Complexity on Drivers’ Situation Awareness ↗ · 2019 · Rehman, Umair et al. · indexed
6. Driver’s Mental Model of Vehicle Automation ↗ · 2020 · Seppelt, Bobbie et al. · indexed
7. Work domain modeling of human-automation interaction for in-vehicle automation · 2024 · Zhang, You et al. · archived
8. Situation Awareness and Driving Performance in a Simulated Navigation Task ↗ · 2006 · Ma, Ruiqi et al. · indexed
9. Situation Awareness Classification Using Multi-modal Sensing in Automated Driving ↗ · 2021 · Liang, Nade et al. · indexed
10. The effect of driver cognitive abilities and distractions on situation awareness and performance under hazard conditions · 2016 · Kaber, David B. et al. · archived
11. SITUATION AWARENESS: WHAT IT IS AND WHY IT MATTERS FOR ITS ↗ · 1999 · Harbluk, Joanne L. et al. · indexed
12. Improving Driver Situation Awareness Prediction using Human Visual Sensory and Memory Mechanism · 2021 · Zhu, Haibei et al. · archived
13. The multitasking motorist and the attention economy · 2021 · Strayer, DL et al. · archived
14. Modeling Drivers' Situational Awareness from Eye Gaze for Driving Assistance · 2024 · Biswas, Abhijat et al. · archived
15. Situation awareness and driving performance in a simulated navigation task ↗ · 2007 · Ma, Ruiqi et al. · indexed
16. Drivers’ situational awareness of surrounding vehicles during takeovers: Evidence from a driving simulator study ↗ · 2024 · Jia, Lesong et al. · indexed
17. Driver’s Mental Models of Advanced Vehicle Technologies: A Proposed Framework for Identifying and Predicting Operator Errors · 2021 · Pradhan, Anuj K. et al. · archived
18. Model-based estimation of the state of vehicle automation as derived from the driver's spontaneous visual strategies · 2019 · Schnebelen, Damien et al. · archived
19. The Effects of Visual and Cognitive Distraction on Driver Situation Awareness · 2011 · Rogers, Meghan L. et al. · archived
20. Applicability of risky decision-making theory to understand drivers' behaviour during transitions of control in vehicle automation · 2019 · GONÇALVES, Rafael Cirino et al. · archived
21. Automation Confusion: Mental Models for Safe Vehicle Adoption ↗ · 2023 · Biondi, FN · indexed
22. Factors That Affect Drivers’ Perception of Closing and an Immediate Hazard · 2023 · Weaver, Bradley W. et al. · archived
23. Using Driver State Detection in Automated Vehicles · 2018 · Gaspar, John et al. · archived
24. Situational Awareness, Drivers Trust in Automated Driving Systems and Secondary Task Performance · 2019 · Petersen, Luke et al. · archived
25. Multimodal Sensing and Computational Intelligence for Situation Awareness Classification in Autonomous Driving ↗ · 2023 · Liang, Nade et al. · indexed
26. Exploring the Relationship Between Drivers’ Stationary Gaze Entropy and Situation Awareness in a Level-3 Automation Driving Simulation ↗ · 2024 · Ding, Wen et al. · indexed
27. Toward a Theory of Situation Awareness in Dynamic Systems ↗ · 1995 · Endsley, Mica R. · indexed
28. From Awareness to Intent: Mitigating Silent Driving System Failures through Prospective Situation Awareness Enhancing Interfaces · 2026 · Wang, Jiyao et al. · archived
29. A Contextual Multimodal System for Increasing Situation Awareness and Takeover Quality in Conditionally Automated Driving · 2023 · Capallera, Marine et al. · archived
30. Investigating the interplay between cognitive workload and situation awareness during full driving automation ↗ · 2025 · Sahoo, P et al. · indexed
31. 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
32. Investigating explanations in conditional and highly automated driving: The effects of situation awareness and modality · 2022 · Zhang, Qiaoning et al. · archived
33. Mental model evolvement during drivers' first experience with conditionally automated driving systems in real-world traffic ↗ · 2026 · Schwindt-Drews, Sarah et al. · indexed
34. The Impact of Driver’s Mental Models of Advanced Vehicle Technologies on Safety and Performance · 2020 · AAA Foundation for Traffic Safety · archived
35. Supervising the self-driving car: Situation awareness and fatigue during highly automated driving ↗ · 2023 · McKerral, Angus et al. · indexed
36. 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
37. Development of Situational Awareness Enhancing System for Manual Takeover of AV · 2023 · Li, Yujie et al. · archived
38. Saliency-Based Attention Shifting: A Framework for Improving Driver Situational Awareness of Out-of-Label Hazards · 2025 · Shleibik, Yousra et al. · archived
39. A theoretical model of human-automation interaction grounded in resource allocation policy during automated driving ↗ · 2018 · Yamani, Yusuke et al. · indexed
40. The Impact of Load on Dynamic versus Static Situational Knowledge While Driving ↗ · 2009 · Clegg, Benjamin A. · indexed
41. Modeling Drivers' Risk Perception via Attention to Improve Driving Assistance · 2024 · Biswas, Abhijat et al. · archived
42. Using Eye-Tracking Data to Predict Situation Awareness in Real Time During Takeover Transitions in Conditionally Automated Driving ↗ · 2021 · Zhou, Feng et al. · indexed
43. Active Inference Models of AV Takeovers: Relating Model Parameters to Trust, Situation Awareness, and Fatigue ↗ · 2024 · Wei, Ran et al. · indexed
44. User Interactions with Vehicle Automation Technologies: A Review of Previous Research and a Proposed Framework · 2023 · AAA Foundation for Traffic Safety · archived
45. Assessing the validity of situation awareness measures through visual behaviours in car driving: A comprehensive review ↗ · 2026 · Pelerin, Maëlle et al. · indexed
46. Advanced vehicle technology: Mapping mental model accuracy and system exposure to driver behavior ↗ · 2021 · Benson, Aaron et al. · indexed
47. Are you in the loop? Using gaze dispersion to understand driver visual attention during vehicle automation · 2017 · Louw, Tyron et al. · archived
48. Automation Expectation Mismatch: Incorrect Prediction Despite Eyes on Threat and Hands on Wheel ↗ · 2018 · Victor, Trent et al. · indexed
49. Mapping drivers’ mental models of adaptive cruise control to performance ↗ · 2021 · Gaspar, John et al. · indexed
50. 2017 Forum on the Impact of Vehicle Technologies and Automation on Users: A Summary Report · 2018 · AAA Foundation for Traffic Safety · archived
51. SITUATION AWARENESS IN AVIATION SYSTEMS. IN: HANDBOOK OF AVIATION HUMAN FACTORS ↗ · 1999 · Endsley, Mica R. · indexed
52. Minimum Time to Situational Awareness During Transfer of Control Under Varying Levels of Task Load · 2020 · Knodler, Michael A. et al. · archived
53. 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
54. Interactive PowerPoint Training to Improve Safety Driver Awareness while Operating a Transit Vehicle Equipped with Driving Automation Features · 2023 · King, Savana et al. · archived
55. Mode Awareness and Automated Driving—What Is It and How Can It Be Measured? ↗ · 2020 · Kurpiers, Christina et al. · indexed
56. 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
57. A Computational Model of Attention/Situation Awareness ↗ · 2002 · McCarley, Jason S. et al. · indexed
58. In-vehicle displays to support driver anticipation of traffic conflicts in automated vehicles · 2021 · He, Dengbo et al. · archived
59. An Eye-Fixation Related Electroencephalography Technique for Predicting Situation Awareness: Implications for Driver State Monitoring Systems ↗ · 2023 · Liang, Nade et al. · indexed
60. Driver Inattention During Vehicle Automation: How Does Driver Engagement Affect Resumption Of Control? ↗ · 2015 · Louw, Tyron et al. · indexed
61. Humans and intelligent vehicles : the hope, the help, and the harm. · 2016 · Fisher, Donald L. et al. · archived
62. Human-Centered Challenges and Contribution for the Implementation of Automated Driving · 2011 · van den Beukel, Arie P. et al. · archived
63. Countermeasures To Detect and Combat Inattention While Driving Partially Automated Systems · 2023 · Paras, Carolina Rodriguez et al. · archived
64. A Vehicle Guidance Model with a Close-to-Reality Driver Model and Different Levels of Vehicle Automation · 2021 · Ma, Xiaoyi et al. · archived
65. Using eye-tracking to investigate the effects of pre-takeover visual engagement on situation awareness during automated driving ↗ · 2021 · Liang, Nade et al. · indexed
66. Drivers with limited perception: model and application to traffic simulation · 2014 · Ketenci, Utku et al. · archived
67. 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
68. Effects of Traffic Conditions on Driver Takeover Performance and Situational Awareness ↗ · 2023 · Jia, Lesong et al. · indexed
69. Description of the Integrated Driver Model · 1995 · Levinson, William H. et al. · archived
70. Consumer Use & Adoption of Advanced Vehicle Systems · 2019 · Seppelt, Bobbie et al. · archived
71. 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
72. Change in Mental Models of ADAS in Relation to Quantity and Quality of Exposure · 2023 · AAA Foundation for Traffic Safety · archived
73. Change in Mental Models of ADAS in Relation to Quantity and Quality of Exposure · 2023 · Pradhan, Anuj K. et al. · archived
74. Driving (and) Attention – Does Directional Illumination Support Driver’s System Supervision When Driving Automatically? ↗ · 2021 · Van den Beukel, Arie P. et al. · indexed
75. Supporting Situational Awareness in VANET Attack Scenarios · 2022 · Almani, Dimah et al. · archived
76. Use of High-Fidelity Simulation to Evaluate Driver Performance with Vehicle Automation Systems · 2009 · Brown, Timothy et al. · archived
77. Human factors implications of vehicle automation: Current understanding and future directions · 2014 · Merat, Natasha et al. · archived
78. A PC-Based Driving Simulator for Assessing Situation Awareness ↗ · 1997 · Gugerty, Leo et al. · indexed
79. The Effect of Driving Automation on Drivers' Anticipatory Glances · 2021 · He, Dengbo et al. · archived
80. Improved driver modeling for human-in-the-loop vehicular control · 2015 · Driggs-Campbell, Katherine et al. · archived
81. Scene-aware driver state understanding in car-following behaviors ↗ · 2017 · Xu, Donghao et al. · indexed
82. Modeling driver-vehicle interaction in automated driving Modellierung der Fahrer-Fahrzeug-Interaktion beim automatisierten Fahren · 2022 · Nobari, Khazar Dargahi et al. · archived
83. Post Take-Over Performance Varies in Drivers of Automated and Connected Vehicle Technology in Near-Miss Scenarios · 2024 · Yamani, Yusuke et al. · archived
84. Literature Review of Behavioral Adaptations to Advanced Driver Assistance Systems · 2016 · AAA Foundation for Traffic Safety · archived
85. Look Up! An Eye-Tracking Study on Situation Awareness During Automated Vehicle Takeover ↗ · 2021 · Liang, Nade et al. · indexed
86. The “field of safe travel” revisited: interpreting driving behaviour performance through a holistic approach ↗ · 2017 · Papakostopoulos, Vassilis et al. · indexed
87. Human Factors Evaluation of Level 2 and Level 3 Automated Driving Concepts: Concepts of Operation · 2014 · Marinik, Andrew et al. · archived
88. 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
89. Cognitive Attention Models for Driver Engagement in Intelligent and Semi-autonomous Vehicles · 2018 · Lee, John D. et al. · archived
90. Investigation of Driver Adaptations in a Mixed Traffic Environment · 2024 · Kondyli, Alexandra et al. · archived
91. Estimating the out-of-the-loop phenomenon from visual strategies during highly automated driving · 2020 · Schnebelen, Damien et al. · archived
92. Toward a Theory of Situation Awareness in Dynamic Systems ↗ · 2017 · Endsley, Mica R. · indexed
93. Examining Driver Situation Awareness in the Takeover Process of Conditionally Automated Driving With the Effect of Age ↗ · 2024 · Ding, Wen et al. · indexed
94. Identifying Outcome Measures to Evaluate Drivers’ Knowledge of Vehicle Automation · 2024 · AAA Foundation for Traffic Safety · archived
95. Highly Automated Driving, Secondary Task Performance, and Driver State · 2012 · Merat, Natasha et al. · archived
96. Embodied Cognitive Architecture to Support Driver Performance ↗ · 2018 · Artifice, Andreia et al. · indexed
97. Driver Models for Both Human and Autonomous Vehicles · 2018 · Kurt, Arda et al. · archived
98. Quantitative models for automation rate and situation awareness response: A case study of levels of driving automation ↗ · 2021 · Liu, Yunmei et al. · indexed
99. Enhancing Automated Vehicle Safety Through Testing with Realistic Driver Models · 2023 · Garcia, Alfredo et al. · archived
100. Using Driver State Detection in Automated Vehicles [supporting dataset] · 2019 · Gaspar, John et al. · archived
101. Human machine interface design for continuous support of mode awareness during automated driving: An online simulation ↗ · 2022 · Tinga, Angelica M. et al. · indexed
102. Combining Driving Automation Intent and Hazard Information with an Attention Reminder System: Is More Information Always Better? ↗ · 2025 · Kanaan, Dina et al. · indexed
103. Aware of Scene Vehicles—Probabilistic Modeling of Car-Following Behaviors in Real-World Traffic ↗ · 2019 · Xu, Donghao et al. · indexed
104. Semi-automated versus highly automated driving in critical situations caused by automation failures · 2014 · Strand, Niklas et al. · archived
105. Autonomous Driving Systems: A Preliminary Naturalistic Study of the Tesla Model S ↗ · 2017 · Endsley, Mica R. · indexed
106. 2021 Virtual Forum on the Impact of Vehicle Technologies and Automation on Users: A Summary Report · 2022 · AAA Foundation for Traffic Safety · archived
107. Bad Driving Is Associated With Lower Awareness of Driving · 2019 · Sanbonmatsu, David M. et al. · archived
108. A Predictive Model of Driver Response in an Autonomous Environment ↗ · 2015 · Samuel, Siby et al. · indexed
109. Precursor Systems Analyses of Automated Highway Systems. Automated Check Out · 1995 · NHTSA · archived
110. Framework of Adaptive Driving: Linking Situation Awareness, Driving Goals, and Driving Intentions Using Eye-Tracking and Vehicle Kinetic Data ↗ · 2025 · Lai, Hsueh-Yi · indexed
111. Driving automation forward : human factors for limited-ability autonomous driving systems. · 2010 · NHTSA · archived
112. Maintaining Situational Awareness: The Role of Visual Attention ↗ · 1999 · Chaparro, Alex et al. · indexed
113. Modeling drivers' visual attention allocation while interacting with in-vehicle technologies. ↗ · 2006 · Horrey, William J. et al. · indexed
114. Behavioral Research and Practical Models of Drivers' Attention · 2021 · Kotseruba, Iuliia et al. · archived
115. Mechanisms for the acquisition of situation awareness in situated agents ↗ · 2011 · Chiappe, Dan et al. · indexed
116. Multidimensional Assessment of Takeover Performance in Conditionally Automated Driving · 2025 · Liang, Kexin et al. · archived
117. Minimum Required Attention: A Human-Centered Approach to Driver Inattention ↗ · 2017 · Kircher, Katja et al. · indexed
118. Toward a Theory of Visual Information Acquisition in Driving ↗ · 2022 · Wolfe, Benjamin et al. · indexed
119. 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
120. SITUATION AWARENESS ↗ · 2021 · Endsley, Mica R. · indexed
121. Situation awareness with different levels of automation ↗ · 2014 · Miller, Dave et al. · indexed
122. Human-Automation Interaction and the Challenge of Maintaining Situation Awareness in Future Autonomous Vehicles ↗ · 2019 · Endsley, Mica R. · indexed
123. Psychological constructs in driving automation: a consensus model and critical comment on construct proliferation ↗ · 2015 · Heikoop, Daniël D. et al. · indexed
124. Towards a skill- and ability-based development process for self-aware automated road vehicles · 2017 · Nolte, Marcus et al. · archived
125. Driver Expectations for System Control Errors, Driver Engagement, and Crash Avoidance in Level 2 Driving Automation Systems · 2021 · Russell, Sheldon M. et al. · archived
126. A Review of Situation Awareness Assessment Approaches in Aviation Environments · 2019 · Nguyen, Thanh Thi et al. · archived
127. Processing of complex traffic scenes for effective steering and collision avoidance: a perspective, from research on locomotion · 2024 · Wann, John P. · archived
128. Modeling of takeover variables with respect to driver situation awareness and workload for intelligent driver assistance ↗ · 2019 · Tanshi, Foghor et al. · indexed
129. DriveSAM: Cognitive Perspective on Driving Maneuvers Based on Drivers’ Attention Using Eye Gaze Data · 2023 · Kwakye, Kelvin et al. · archived
130. Situation Awareness in Driving While Using Adaptive Cruise Control and a Cell Phone ↗ · 2005 · Ma, Ruiqi et al. · indexed
131. Behavioural changes in drivers experiencing highly-automated vehicle control in varying traffic conditions · 2013 · Jamson, A. Hamish et al. · archived
132. Influence of automated driving on driver’s own localization: a driving simulator study ↗ · 2019 · Umeno, Ryuichi et al. · indexed
133. CityMobil · 2009 · Toffetti, Antonella et al. · archived
134. Multimodal Physiological Models of Situation Awareness ↗ · 2024 · Smith, Kieran et al. · indexed
135. The influence of cognitive distractions and driving experience on hazard perception performance ↗ · 2025 · Sun, Meng et al. · indexed
136. When is more actually better? expert opinions on assessment of situation awareness in relation to safe driving · 2024 · Zwart, Rins de et al. · archived
137. Identification and Quantification of Hazardous Scenarios for Automated Driving · 2020 · Kramer, Birte et al. · archived
138. Towards Cooperative Driving: Involving the Driver in an Autonomous Vehicle's Decision Making · 2016 · Walch, Marcel et al. · archived
139. On investigating drivers’ attention allocation during partially-automated driving · 2024 · Eddine, RJ et al. · archived
140. Driver Distraction Injury Prevention Countermeasures‚ÄîPart 2 · 2008 · Regan, Michael et al. · archived
141. An Examination of How Longer-Term Exposure and User Experiences Affect Drivers’ Mental Models of ADAS Technology · 2022 · AAA Foundation for Traffic Safety · archived
142. A COMPREHENSIVE MICROSCOPIC AUTONOMOUS DRIVER MODEL FOR USE IN HIGH- FIDELITY DRIVING SIMULATION ENVIRONMENTS ↗ · 2001 · Papelis, Yiannis et al. · indexed
143. Impact of Temporary Browsing Restrictions on Drivers’ Situation Awareness When Interacting with In-Vehicle Infotainment Systems · 2022 · Meyer, Jason et al. · archived
144. From Driver to Supervisor: Comparing Cognitive Load and EEG-Based Attentional Resource Allocation Across Automation Levels · 2023 · Figalova, Nikol et al. · archived
145. Análisis del comportamiento visual del conductor aplicado a la toma de decisiones en vehículos autónomos ↗ · 2023 · Sánchez–Mateo, Sofia · indexed
146. Vision-Language Hazard Reasoning for Driver Distraction and Workload Estimation ↗ · 2025 · Ng, Shu-Kay et al. · indexed
147. Multi-vehicle anticipation-based driver behavior models: a synthesis of existing research and future research directions ↗ · 2024 · Nirmale, Sangram et al. · indexed
148. Were they in the loop during automated driving? Links between visual attention and crash potential · 2017 · Louw, Tyron et al. · archived
149. An Approach for the Selection and Description of Elements Used to Define Driving Scenarios – Part II · 2023 · Rao, Sughosh J. et al. · archived
150. Training to Improve Drivers’ Behavior When Partial Driving Automation Fails · 2020 · Roberts, Shannon C et al. · archived
151. Where to gaze during take-over: Eye gaze strategy analysis of different situation awareness and hazard perception levels ↗ · 2023 · Ding, Wen et al. · indexed
152. From Driver to Supervisor: Comparing Cognitive Load and EEG-based Attentional Resource Allocation across Automation Levels · 2023 · Figalova, Nikol et al. · archived
153. Coming back into the loop: Drivers’ perceptual-motor performance in critical events after automated driving · 2017 · Louw, Tyron et al. · archived
154. On the impact of on-road partially-automated driving on drivers’ cognitive workload and attention allocation ↗ · 2024 · Biondi, FN et al. · indexed
155. Making driver modeling attractive ↗ · 2005 · Pellecchia, A. et al. · indexed
156. Ontology based Scene Creation for the Development of Automated Vehicles · 2018 · Bagschik, Gerrit et al. · archived
157. Development and evaluation of a human machine interface to support mode awareness in different automated driving modes · 2022 · Tinga, Angelica M. et al. · archived
158. Watch Out for Explanations: Information Type and Error Type Affect Trust and Situational Awareness in Automated Vehicles ↗ · 2025 · Du, Na et al. · indexed
159. Models of human decision-making as tools for estimating and optimising impacts of vehicle automation · 2017 · Markkula, Gustav et al. · archived
160. Volume 1: Urban Driver Mental Frameworks and Implications · 2023 · Eluru, Naveen et al. · archived
161. A multi-method approach to understanding drivers' experiences and behavior under partial vehicle automation · 2023 · Strayer, DL et al. · archived
162. Situation Awareness: Does it Change With Age? ↗ · 2001 · Bolstad, Cheryl Actor · indexed
163. Towards a Context-Dependent Multi-Buffer Driver Distraction Detection Algorithm · 2022 · Ahlstrom, Christer et al. · archived
164. Exploratory Development of Algorithms for Determining Driver Attention Status · 2024 · Herbers, Eileen et al. · archived
165. Modeling Drivers’ Takeover Behavior Depending on the Criticality of Driving Situations and the Complexity of Secondary Tasks ↗ · 2019 · Tanshi, Foghor et al. · indexed
166. Handbook of Human Factors for Automated, Connected, and Intelligent Vehicles ↗ · 2020 · Fisher, Donald L. et al. · indexed
167. A dataset on the physiological state and behavior of drivers in conditionally automated driving ↗ · 2023 · Meteier, Quentin et al. · indexed
168. Modeling Drivers’ Lateral Motion Control · 2015 · Ni, Daiheng · archived
169. Toward More Realistic Driving Behavior Models for Autonomous Vehicles in Driving Simulators ↗ · 2003 · Al-Shihabi, Talal et al. · indexed
170. Impact of Information on Consumer Understanding of a Partially Automated Driving System · 2020 · AAA Foundation for Traffic Safety · archived
171. The influence of time-criticality on Situation Awareness when retrieving human control after automated driving ↗ · 2013 · van den Beukel, Arie Paul et al. · indexed
172. A Review of Driver Mental Workload in Driver-Vehicle-Environment System · 2011 · Ba, Yutao et al. · archived
173. Driver Adaptation to Vehicle Automation: The Effect of Driver Assistance Systems on Driving Performance and System Monitoring · 2022 · Weaver, Starla et al. · archived
174. Situated and sequential planning and prediction of human driving behavior as decision making support system · 2024 · Bejaoui, Abderahman et al. · archived
175. Situation Awareness: Review of Mica Endsley's 1995 Articles on Situation Awareness Theory and Measurement ↗ · 2008 · Wickens, Christopher D. · indexed
176. Longer-term exposure vs training: Their effect on drivers' mental models of ADAS technology ↗ · 2022 · Carney, Cher et al. · indexed
177. Designing for Trust and Situational Awareness in Automated Vehicles: Effects of Information Type and Error Type ↗ · 2023 · Ding, Yaohan et al. · indexed
178. The effect of dual training on the hazard response and attention allocation of novice drivers ↗ · 2024 · Huang, Chunxi et al. · indexed
179. Designing transparency for automated driving: Effects of ambient light cues and explanations on driver performance · 2025 · Huang, Jingyu et al. · archived
180. Potential for driver attention monitoring system development · 1984 · NHTSA · archived
181. Modeling Driver Responses to Automation Failures With Active Inference ↗ · 2022 · Wei, Ran et al. · indexed
182. 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
183. The distraction potential of driving a partially automated vehicle through a construction zone · 2025 · Biondi, F et al. · archived
184. Who is performing the driving tasks after interventions? Investigating drivers' understanding of mode transition logic in automated vehicles ↗ · 2024 · Kim, Soyeon et al. · indexed
185. Preface to the Special Section on Human Factors and Automation in Vehicles · 2012 · Merat, Natasha et al. · archived
186. Characterisation of mental models in a virtual reality-based multitasking scenario using measures of situation awareness ↗ · 2009 · Zhang, Tao et al. · indexed
187. The Dynamics of Attention Across Automated and Manual Driving Modes: A Driving Simulation Study ↗ · 2026 · Cai, Yuan et al. · indexed
188. Understanding driver performance variability and perception of risk : driver hazard perception research plan · 1998 · Lerner, N. et al. · archived
189. Interactive Traffic Management for Highly Automated Vehicles · 2023 · Alkim, Tom et al. · archived
190. Sources of situation awareness errors in aviation. ↗ · 1996 · Jones, D.G. et al. · indexed
191. Driver's arousal and workload under partial vehicle automation · 2020 · Strayer, DL et al. · archived
192. Driver behaviour with adaptive cruise control · 2005 · Stanton, Neville A. et al. · archived
193. Supporting situation awareness in aviation systems ↗ · 2002 · Endsley, Mica R. · indexed
194. 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
195. CH-LSTTM: A Taxonomy of Traffic Hazards · 2024 · Yan, Song et al. · archived
196. Driver-Pedestrian Perceptual Models Demonstrate Coupling: Implications for Vehicle Automation ↗ · 2022 · Domeyer, Joshua E. et al. · indexed
197. Human Factors Design of Automated Highway Systems: Scenario Definition · 1995 · NHTSA · archived
198. Towards Autonomous Vehicles · 2013 · Schwarz, Chris et al. · archived
199. Driver's arousal and workload under partial vehicle automation · 2020 · Cooper, JM et al. · archived
200. Situation Awareness In Aviation Systems ↗ · 1999 · Endsley, Mica R. · indexed
201. Measuring and Predicting Drivers’ Takeover Readiness and Supporting Takeover Transitions in Automated Driving · 2023 · AAA Foundation for Traffic Safety · archived
202. Inferring Hidden Attentional States in Driving: A Bayesian Approach to Modeling Distraction and Secondary Task Engagement. ↗ · 2026 · Dheeraj Kashyap L et al. · indexed
203. Driving in an Increasingly Automated World – Approaches to Improve the Driver-automation Interaction ↗ · 2015 · Stockert, Sonja et al. · indexed
204. The Effects of Vehicle Automation on Driver Engagement: The Case of Adaptive Cruise Control and Mind Wandering [techbrief] · 2021 · Weaver, Starla et al. · archived
205. Driver inattention and highway safety · 1985 · Sussman, E. D. et al. · archived
206. Situation Awareness Misconceptions and Misunderstandings · 2015 · Endsley, Mica R. · archived
207. Defining and Substantiating the Terms Scene, Situation, and Scenario for Automated Driving ↗ · 2015 · Ulbrich, Simon et al. · indexed
208. Driver Training Research and Guidelines for Automated Vehicle Technology · 2019 · Manser, Michael P. et al. · archived
209. The Effect of Partial Automation on Driver Attention: A Naturalistic Driving Study ↗ · 2019 · Gaspar, John et al. · indexed
210. 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
211. Models of automation proportion in human-in-the-loop systems and operator situation awareness responses ↗ · 2025 · Liu, Y. et al. · indexed
212. HumanFIRST Driving Simulation Educational Development · 2019 · Morris, Nichole L. et al. · archived
213. Modeling and Prediction of Human Driver Behavior: A Survey. · 2020 · Brown, Kyle et al. · archived
214. Evaluation of Autonomous Vehicles and Smart Technologies for Their Impact on Traffic Safety and Traffic Congestion · 2020 · Miles, James et al. · archived
215. Exploring Factors Related to Drivers' Mental Model of and Trust in Advanced Driver Assistance System · 2024 · Huang, Chunxi et al. · archived
216. Development of a Monitoring System for Driver Readiness in Prolonged Automated Driving · 2024 · Deb, Shuchisnigdha et al. · archived
217. Driver State Modeling through Latent Variable State Space Framework in the Wild · 2022 · Tavakoli, Arash et al. · archived
218. Change in Mental Models of ADAS in Relation to Quantity and Quality of Exposure [Fact Sheet] · 2023 · NHTSA · archived
219. Drivers' Activities and Information Needs in an Automated Highway System · 1996 · Levitan, Lee et al. · archived
220. A Mental Model Perspective of a Driver Workload System ↗ · 2010 · Curry, Reates et al. · indexed
221. Potential for driver attention monitoring system development · 1985 · Bishop, H. et al. · archived
222. Hazards associated with planned transitions in automated driving: A simulator study ↗ · 2022 · Hasegawa, Kunihiro et al. · indexed
223. Driver Distraction Assessment Using Driver Modeling ↗ · 2013 · Hermannstadter, Peter et al. · indexed
224. How Do Drivers Behave in a Highly Automated Car? ↗ · 2009 · Merat, Natasha et al. · indexed
225. Situation awareness: Valid or fallacious? · 2015 · Carsten, Oliver et al. · archived
226. Naturalistic Study of Level 2 Driving Automation Functions · 2018 · Russell, Sheldon M. et al. · archived
227. 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
228. Modeling Driver Behavior during Automated Vehicle Platooning Failures · 2021 · McDonald, Anthony D et al. · archived
229. Compendium Of Human Factors Projects Supporting The Intelligent Vehicle Initiative · 1999 · NHTSA · archived
230. Vehicle Automation Field Test: Impact on Driver Behavior and Trust · 2020 · Morales-Alvarez, Walter et al. · archived
231. The effect of cognitive tasks on predicting eventis in traffic ↗ · 2008 · Baumann, Michael R. et al. · indexed
232. Anticipatory Driving in Automated Vehicles: The Effects of Driving Experience and Distraction · 2023 · He, Dengbo et al. · archived
233. Toward an Integrated Model of Driver Behavior in Cognitive Architecture ↗ · 2001 · Salvucci, Dario D. et al. · indexed
234. 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
235. Automation and situation awareness. ↗ · 2018 · Endsley, Mica R. · indexed
236. 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
237. Instrumented Vehicles and Driving Simulators · 2002 · Rizzo, M. et al. · archived
238. TRAFFIC SAFETY AND INDIVIDUAL DIFFERENCES IN DRIVERS' ATTENTION AND INFORMATION PROCESSING CAPACITY ↗ · 1993 · Shinar, David · indexed
239. Evaluation of Drivers’ Attention Level by a Driving Simulator ↗ · 2012 · Bartolozzi, Riccardo et al. · indexed
240. An Approach for the Selection and Description of Elements Used to Define Driving Scenarios · 2021 · Rao, Sughosh J. et al. · archived
241. Identifying Mind-wandering behind the Wheel · 2009 · He, Jibo et al. · archived
242. 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
243. Attention for Vision-Based Assistive and Automated Driving: A Review of Algorithms and Datasets · 2022 · Kotseruba, Iuliia et al. · archived
244. Survey and Synthesis of State of the Art in Driver Monitoring · 2021 · Halin, Anaïs et al. · archived
245. Highly automated driving: the role of visuo-attentional and executive abilities in take-over success · 2025 · Schnebelen, Damien et al. · archived
246. Design of Conditional Driving Automation Variables to Improve Takeover Performance ↗ · 2019 · Tanshi, Foghor et al. · indexed
247. Towards Driver Behavior Understanding: Weakly-Supervised Risk Perception in Driving Scenes · 2026 · Agarwal, Nakul et al. · archived
248. A merging interaction model explains human drivers' behaviour from input signals to decisions · 2023 · Abbink, David A. · archived
249. Key considerations in the development of driving automation systems ↗ · 2015 · Christensen, Andy et al. · indexed
250. Influence of Surrounding Traffic and System Behaviors on Driver-Initiated Automation Disengagements in Urban Overtaking Scenarios ↗ · 2025 · Muslim, Husam et al. · indexed
251. Tools for Transport: Driven to Learn With Connected Vehicles · 2021 · Morris, Nichole et al. · archived
252. Conveying Uncertainties Using Peripheral Awareness Displays in the Context of Automated Driving ↗ · 2019 · Kunze, Alexander et al. · indexed
253. Attention estimation by simultaneous observation of viewer and view ↗ · 2010 · Doshi, Anup et al. · indexed
254. Toward Computational Simulations of Behavior During Automated Driving Takeovers: A Review of the Empirical and Modeling Literatures · 2019 · McDonald, Anthony D et al. · archived
255. The implication of non-driving activities on situation awareness and take-over performance in level 3 automation ↗ · 2020 · Yang, Lichao et al. · indexed
256. Antecedents and outcome of situation awareness: a meta-analysis of presence and effect size ↗ · 2026 · Yuan, Xiaofang et al. · indexed
257. Driver’s Arousal and Workload under Partial Vehicle Automation · 2020 · AAA Foundation for Traffic Safety · archived
258. Guiding Driver Responses During Manual Takeovers from Automated Vehicles · 2023 · Greatbatch, Richard et al. · archived
259. Modeling Driver Characteristics - Driver Behavior in Traffic : [fact sheet] · 2010 · NHTSA · archived
260. A User-Centered Approach to Adapt the Human-Machine Cooperation Strategy in Autonomous Driving · 2021 · Coeugnet, Stéphanie et al. · archived
261. Attention selection and task interference indriving: an action-oriented view ↗ · 2009 · Engström, Johan et al. · indexed
262. Linking Behaviour and Perception to Evaluate Meaningful Human Control over Partially Automated Driving · 2026 · George, Ashwin et al. · archived
263. Understanding Driver Cognition and Decision-Making Behaviors in High-Risk Scenarios: A Drift Diffusion Perspective · 2025 · Huang, Heye et al. · archived
264. Modeling Driver Behavior and Aggressiveness Using Biobehavioral Methods - Phase I · 2018 · Kondyli, Alexandra et al. · archived
265. Drivers and automation: a systematic review on road suitability for assisted and partially/conditionally automated vehicles ↗ · 2026 · Karimi, Arastoo et al. · indexed
266. Mental workload and driving · 2014 · Paxion, Julie et al. · archived
267. Impacts of In-vehicle Alert Systems on Situational Awareness and Driving Performance in SAE Level 3 Vehicle Automation ↗ · 2022 · Souders, Dustin et al. · indexed
268. 5. Probabilistic driver modeling ↗ · 2017 · Driggs-Campbell, Katherine et al. · indexed
269. Modeling Driver Behavior and Aggressiveness Using Biobehavioral Methods – Phase II · 2020 · Kondyli, Alexandra et al. · archived
270. Decision-Theoretic Reasoning for Traffic Monitoring and Vehicle Control · 1995 · Wellman, Michael P. et al. · archived
271. Modeling Driver Behavior and Aggressiveness Using Biobehavioral Methods –Phase III · 2022 · Kondyli, Alexandra et al. · archived
272. Theoretical Underpinnings of Situation Awareness, A Critical Review · 2000 · Endsley, Mica R. · archived
273. Initial development of prototype performance model for highway design · 1997 · Levinson, William H. · archived
274. Objective evaluation of situation awareness for dynamic decision makers in teleoperations · 1991 · Endsley, Mica R. · archived
275. Inner models as a basis for traffic behaviour ↗ · 1993 · Keskinen, Esko et al. · indexed
276. Editorial: Cognitive Mechanisms for Safe Road Traffic Systems · 2022 · Vecchiato, Giovanni et al. · archived
277. Modelling Human Driver Performance for Safety Assessment of Road Vehicle Automation ↗ · 2018 · Roesener, Christian et al. · indexed
278. Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles ↗ · 2018 · On-Road Automated Driving (ORAD) Committee · indexed
279. 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
280. Situation Awareness for Driver-Centric Driving Style Adaptation · 2024 · Haselberger, Johann et al. · archived
281. Safety Concept for Autonomous Vehicles · 2016 · Reschka, Andreas · archived
282. A model of dyadic merging interactions explains human drivers’ behavior from control inputs to decisions · 2024 · Abbink, David A. · archived
283. VALIDATION OF AN ATTENTION-BASED MODEL OF DRIVER PERFORMANCE IN REAR- END COLLISION SITUATIONS ↗ · 2001 · Brown, Timothy L. et al. · indexed
284. Towards a driver supervision and assistance system: intention detecting and option providing ↗ · 2014 · Wang, Jiao et al. · indexed
285. 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
286. Assessing Drivers' Mental Model Of Advanced Driver Assistance Systems Using Signal Detection Theory · 2023 · Huang, Chunxi et al. · archived
287. Considering knowledge gaps for automated driving in conventional traffic ↗ · 2016 · G, AROEN M et al. · indexed
288. Human Factors of Driving Automation: Evasive Maneuver Event Response Evaluation · 2023 · Britten, Nicholas N et al. · archived
289. Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles ↗ · 2021 · On-Road Automated Driving (ORAD) Committee · indexed
290. DRIVER INFORMATION NEEDS ↗ · 1971 · Allen, T M et al. · indexed
291. Human-like driving behaviour emerges from a risk-based driver model · 2020 · Kolekar, Sarvesh et al. · archived
292. The measurement of drivers' mental workload ↗ · 1996 · de Waard, Dick · indexed
293. 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
294. Comparison of Visual Sampling Patterns Under Simulated L2 and L0 Systems ↗ · 2018 · Hatfield, Nathan et al. · indexed
295. MIT Advanced Vehicle Technology Study: Large-Scale Naturalistic Driving Study of Driver Behavior and Interaction With Automation · 2019 · Fridman, Lex et al. · archived
296. 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
297. Safety-centred analysis of transition stages to traffic with fully autonomous vehicles ↗ · 2020 · Andreotti, Eleonora et al. · indexed
298. Evaluation of the human interaction with automated vehicles on highways · 2025 · Chand, Cadell et al. · archived
299. 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
300. Examining the Role of Driver Perception in Takeover Time: Application of Task-Capability Interface Theory ↗ · 2024 · Liang, Kexin et al. · indexed
301. Where drivers are looking at during takeover: Implications for safe takeovers during conditionally automated driving ↗ · 2023 · Huang, Chao et al. · indexed
302. 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
303. Looking-In and Looking-Out of a Vehicle: Computer-Vision-Based Enhanced Vehicle Safety ↗ · 2007 · Trivedi, Mohan Manubhai et al. · indexed
304. Beyond adaptive cruise control and lane centering control: drivers' mental model of and trust in emergency lane keeping ↗ · 2023 · Huang, Chunxi et al. · indexed
305. Validating human driver models for interaction-aware automated vehicle controllers: A human factors approach. · 2021 · Abbink, David A. · archived
306. Control Task Substitution in Semiautomated Driving · 2012 · Carsten, Oliver et al. · archived
307. Optical Information for Car Following: The Driving by Visual Angle (DVA) Model ↗ · 2007 · Andersen, George J. et al. · indexed
308. How Do Automation Modes Influence the Frequency of Advanced Driver Distraction Warnings? A Simulator Study ↗ · 2023 · Koniakowsky, Ina Marie et al. · indexed
309. Teen Driving Risk in the Presence of Passengers ↗ · 2016 · Horrey, William J. et al. · indexed
310. 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
311. Task Interruption and Control Recovery Strategies After Take-Over Requests Emphasize Need for Measures of Situation Awareness ↗ · 2020 · Vogelpohl, Tobias et al. · indexed
312. Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles ↗ · 2016 · On-Road Automated Driving (ORAD) Committee · indexed
313. Context-Aware Quantitative Risk Assessment Machine Learning Model for Drivers Distraction · 2024 · Fasanmade, Adebamigbe et al. · archived
314. Takeover performance according to the level of disengagement during automated driving · 2022 · Gallouin, Evan et al. · archived
315. Driver behavior in traffic. · 2012 · Abbas, Montasir et al. · archived
316. Driver Training for Automated Vehicle Technology – Knowledge, Behaviors, and Perceived Familiarity ↗ · 2019 · Noble, Alexandria M. et al. · indexed
317. Prevention of road accidents in non-expert drivers: Theory of Mind and driving style · 2024 · Nori, Raffaella et al. · archived
318. A Multi-Method Approach to Understanding Drivers’ Experiences and Behavior Under Partial Vehicle Automation · 2023 · AAA Foundation for Traffic Safety · archived
319. SURVIVAL OF DEVIANCE. A MODEL FOR DRIVER BEHAVIOUR. FINAL REPORT ↗ · 2003 · Vaa, T · indexed
320. Fully-Automated Driving: The Road to Future Vehicles ↗ · 2011 · Jamson, Hamish et al. · indexed
321. Cost of warning of unseen threats: Unintended consequences of connected vehicle alerts ↗ · 2015 · Chrysler, ST et al. · indexed
322. Information Requirements for Traffic Awareness in a Free-Flight Environment: An Application of the FAIT Analysis · 2003 · Uhlarik, John et al. · archived
323. The effect of a secondary task on drivers’ gap acceptance and situational awareness at junctions ↗ · 2021 · Robbins, Chloe J. et al. · indexed
324. DEV: A Driver-Environment-Vehicle Closed-Loop Framework for Risk-Aware Adaptive Automation of Driving · 2025 · Halin, Anaïs et al. · archived
325. A Taxonomy and Review of Algorithms for Modeling and Predicting Human Driver Behavior · 2025 · Bhattacharyya, Raunak et al. · archived
326. Supporting Driver Attention Toward Potential Hazards During Takeover: A Preliminary Result ↗ · 2024 · Tilbury, Dawn M. et al. · indexed
327. EEG and fNIRS are associated with situation awareness (hazard) prediction during a driving task ↗ · 2024 · Festa, Elena K. et al. · indexed
328. Automated Vehicle Driver Monitoring Dataset from Real-World Scenarios · 2024 · Sabry, Mohamed et al. · archived
329. Predicting Situation Awareness From Physiological Signals ↗ · 2026 · Smith, Kieran J. et al. · indexed
330. Underload on the Road: Measuring Vigilance Decrements During Partially Automated Driving · 2021 · McWilliams, Thomas et al. · archived
331. Towards a Human-Centred Cognitive Model of Visuospatial Complexity in Everyday Driving · 2020 · Suchan, Jakob · archived
332. Research on drivers' hazard perception and visual characteristics before vehicle-to-powered two-wheeler collisions ↗ · 2025 · Wu, Xianhui et al. · indexed
333. Cooperation between driver and automated driving system: Implementation and evaluation · 2017 · Guo, Chunshi et al. · archived
334. The Driving Safety Field Based on Driver–Vehicle–Road Interactions ↗ · 2015 · Wang, Jianqiang et al. · indexed
335. Decoding Driver Takeover Behaviour in Conditional Automation with Immersive Virtual Reality · 2024 · Ansar, Muhammad Sajjad et al. · archived
336. 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
337. How to navigate the intermediate levels of vehicle automation? ↗ · 2025 · van Nes, Nicole et al. · indexed
338. A Theoretical Field-Analysis of Automobile-Driving ↗ · 1938 · Gibson, James J. et al. · indexed
339. Effects of Vehicle Simulation Visual Fidelity on Assessing Driver Performance and Behavior ↗ · 2019 · Merenda, Coleman et al. · indexed
340. Vigilance Decrement During On-Road Partially Automated Driving Across Four Systems · 2023 · Strayer, David L. · archived
341. Toward highly automated driving by vehicle-to-infrastructure communications ↗ · 2015 · Noh, Samyeul et al. · indexed
342. Mental Models in Motion: A Framework for Real-Time Evaluation of Drivers' Understanding of ADAS Features ↗ · 2025 · Alkurdi, Duha et al. · indexed
343. Driving Simulator Based Interactive Experiments : Understanding Driver Behavior, Cognition and Technology Uptake under Information and Communication Technologies · 2018 · Agrawal, Shubham et al. · archived
344. Situation Awareness and Workload in Aviation ↗ · 2002 · Wickens, Christopher D. · indexed
345. Confidence Horizon for a Dynamic Balance between Drivers and Vehicle Automation: First Sketch and Application · 2022 · Herzberger, Nicolas et al. · archived
346. A Human Factors Approach to Validating Driver Models for Interaction-aware Automated Vehicles · 2022 · Siebinga, Olger et al. · archived
347. Driver Expectations of a Partial Driving Automation System in Relation to Branding and Training ↗ · 2022 · Singer, Jeremiah et al. · indexed
348. Influences of Different Traffic Information on Driver Behaviors While Interacting with Oncoming Traffic in Level 2 Automated Driving ↗ · 2022 · Yang, Bo et al. · indexed
349. Development of In-Vehicle Information Dissemination Mechanisms to Reduce Cognitive Burden in the Information-Rich Driving Environment · 2022 · Agrawal, Shubham et al. · archived
350. An Investigation of Drivers' Dynamic Situational Trust in Conditionally Automated Driving · 2021 · Ayoub, Jackie et al. · archived
351. Examining effects of scenario type and vehicle speed on takeover readiness and performance in conditionally automated driving ↗ · 2020 · Tilbury, Dawn M. et al. · indexed
352. Mathematical Definitions of Scene and Scenario for Analysis of Automated Driving Systems in Mixed-Traffic Simulations · 2021 · Andreotti, Eleonora et al. · archived
353. 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
354. 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
355. Human-Machine Interfaces and Vehicle Automation: The Effect of HMI Design on Driver Performance and Behavior · 2023 · Wang, Meng et al. · archived
356. 80 MPH and out-of-the-loop: Effects of real-world semi-automated driving on driver workload and arousal ↗ · 2018 · Biondi, FN et al. · indexed
357. Typology of Behavioral and Emotional Reactions to Uncomfortable Automated Driving Operations · 2024 · Beggiato, Matthias et al. · archived
358. Autonomous Vehicles · 2024 · Kemeny, Andras · archived
359. Stabilization Time after Mode Switch in Conditionally Automated Driving: Focusing on Drivers Cognitive Load and Visual Attention ↗ · 2025 · Li, Yujin et al. · indexed
360. Stabilization Time after Mode Switch in Conditionally Automated Driving: Focusing on Drivers’ Cognitive Load and Visual Attention ↗ · 2025 · Li, Yujin et al. · indexed
361. Perceptions and Understanding of Advanced Driver Assistance Systems and Vehicle Automation · 2026 · AAA Foundation for Traffic Safety · archived
362. Driver behavior while using Level 2 vehicle automation: A hybrid naturalistic study · 2023 · Cooper, JM et al. · archived
363. Assessment of Drivers’ Mental Workload by Multimodal Measures during Auditory-Based Dual-Task Driving Scenarios ↗ · 2024 · Huang, Jiaqi et al. · indexed
364. Driver Inattention Monitoring System for Intelligent Vehicles: A Review ↗ · 2011 · Dong, Yanchao et al. · indexed
365. Identifying Modes of Intent from Driver Behaviors in Dynamic Environments · 2015 · Driggs-Campbell, Katherine et al. · archived
366. Analysis of Visual Scanning Patterns Comparing Drivers of Simulated L2 and L0 Systems ↗ · 2019 · Hatfield, Nathan et al. · indexed
367. Simulation of Automated Vehicles' Drive Cycles · 2018 · LeVine, Scott · archived
368. Hierarchical Control and Driving ↗ · 2013 · Medeiros-Ward, Nathan · indexed
369. CoCAtt: A Cognitive-Conditioned Driver Attention Dataset (Supplementary Material) · 2022 · Shen, Yuan et al. · archived
370. Predicting Driver Errors during Automated Vehicle Takeovers · 2023 · Alambeigi, Hananeh et al. · archived
371. A Framework for Automated Driving System Testable Cases and Scenarios · 2018 · Thorn, Eric et al. · archived
372. Generalized model for driver activity recognition in automated vehicles using pressure sensor array · 2022 · Nobari, Khazar Dargahi et al. · archived
373. Driver Monitoring in the Context of Autonomous Vehicle ↗ · 2015 · Rahman Hamidur et al. · indexed
374. Integrating Intuitive Driver Models in Autonomous Planning for Interactive Maneuvers ↗ · 2017 · Driggs-Campbell, Katherine et al. · indexed
375. Situation understanding and risk assessment framework for preventive driver assistance ↗ · 2026 · Armand, Alexandre · indexed
376. Explicit behaviors affected by driver's trust in a driving automation system · 2019 · Liu, Hailong et al. · archived
377. The Impact of Vehicle Automation on the Safety of Vulnerable Road Users (Pedestrians and Bicyclists) · 2018 · Samuel, Siby et al. · archived
378. Assessment of Driving Automation Interfaces via Visual Attention Measures: A Literature Review ↗ · 2021 · Kanaan, Dina et al. · indexed
379. Driver Behavior and Situation Aware Brake Assistance for Intelligent Vehicles ↗ · 2007 · McCall, J.C. et al. · indexed
380. Multimodal Driver State Modeling through Unsupervised Learning · 2021 · Tavakoli, Arash et al. · archived
381. Novel Auditory Displays in Highly Automated Vehicles: Sonification Improves Driver Situation Awareness, Perceived Workload, and Overall Experience · 2021 · Nadri, Chihab et al. · archived
382. 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
383. Effect of Partially Automated Driving on Mental Workload, Visual Behavior and Engagement in Nondriving-Related Tasks: A Meta-Analysis · 2025 · Vasta, N et al. · archived
384. A System's Perspective Towards an Architecture Framework for Safe Automated Vehicles · 2018 · Bagschik, Gerrit et al. · archived
385. Human Decision-Making in High-Risk Driving Scenarios: A Cognitive Modeling Perspective ↗ · 2024 · Li, Zheng et al. · indexed
386. An Integrated Open-Source Framework for Automated Analysis of Driver Activity, Glance, and Vehicle Automation Mode ↗ · 2026 · Sahoo, Praneet et al. · indexed
387. AutoPreview: A Framework for Autopilot Behavior Understanding · 2021 · Shen, Yuan et al. · archived
388. Team Coordination and Shared Situation Awareness in Combat Identification ↗ · 2017 · Bolstad, Cheryl A. et al. · indexed
389. Training Drivers to Automated Vehicles · 2023 · Mangharam, Rahul et al. · archived
390. Approaches for loss of vigilance in vehicle automation: a meta-analytical study ↗ · 2017 · Gonçalves, Rafael Cirino et al. · indexed
391. Driver response to unexpected situations when using and in-vehicle information system · 1999 · Biever, Wayne et al. · archived
392. Can Pupillometry be used to Detect Driver Hazard Awareness? ↗ · 2024 · Tamura, Kimimasa et al. · indexed
393. From Car-Driver-Handovers to Cooperative Interfaces: Visions for Driver-Vehicle Interaction in Automated Driving ↗ · 2017 · Walch, Marcel et al. · indexed
394. 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
395. 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
396. Spotlighting distraction in artificial intelligence driver assistance systems · 2023 · Cardoso, Bruno et al. · archived
397. Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data · 2021 · Rangesh, Akshay et al. · archived
398. Identifying Deviations from Normal Driving Behavior · 2022 · Hananeh Alambeigi, H et al. · archived
399. Using Modeling and Simulation to Predict Operator Performance and Automation-Induced Complacency With Robotic Automation ↗ · 2015 · Wickens, Christopher D. et al. · indexed
400. Workload, Distraction, and Automation ↗ · 2020 · Lee, John D. et al. · indexed
401. Scenario Authoring for a Driving Simulator to Evaluate Driver Experience in Intelligent Autonomous Vehicles · 2015 · Manawadu, Udara et al. · archived
402. Driver mental workload measurement trends and cognitive impacts: a literature review ↗ · 2026 · Faidah, Uyun Nadzirotul et al. · indexed
403. Explaining human interactions on the road by large-scale integration of computational psychological theory · 2023 · Markkula, Gustav et al. · archived
404. 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
405. EFFECTS OF AUGMENTED SITUATIONAL AWARENESS ON DRIVER TRUST IN SEMI-AUTONOMOUS VEHICLE OPERATION · 2017 · Tilbury, Dawn M. · archived
406. The Influence of Driver Stress, Partial-Vehicle Automation, and Subjective State on Driver Performance ↗ · 2005 · Funke, Gregory J. et al. · indexed
407. 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
408. Development of Prototype Driver Models for Highway Design: Research Update · 1999 · NHTSA · archived
409. PRECURSOR SYSTEM ANALYSES OF AUTOMATED HIGHWAY SYSTEM. FINAL REPORT. VOLUME III: AUTOMATED CHECK-OUT · 1995 · Turan, Levent et al. · archived
410. 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
411. Experiencing Automated Vehicles in Real-Life Affects Central Aspects of Drivers’ User Experience · 2026 · Brandenburg, Stefan et al. · archived
412. Insights for the Future of Car Rental and Ridesharing: Driving Behavior Across Different Levels of Automation · 2025 · Meda, Pranav et al. · archived
413. 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
414. Identifying novice drivers in need of hazard perception ability improvement for takeover performance ↗ · 2024 · Weng, Shixuan et al. · indexed
415. The "Out-of-the-Loop" concept in automated driving: proposed definition, measures and implications · 2018 · Merat, Natasha et al. · archived
416. A Simulator Dataset to Support the Study of Impaired Driving · 2025 · Gideon, John et al. · archived
417. 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
418. Using Microworlds to Design Intelligent Interfaces that Minimize Driver Distraction · 2001 · Kantowitz, Barry H · archived
419. Empirical Research for Mixed Traffic Research · 2025 · He, Dengbo et al. · archived
420. Subtle motion cues by automated vehicles can nudge human drivers’ decisions: Empirical evidence and computational cognitive model · 2023 · Abbink, David A. · archived
421. An Initial Review of the Instructional and Operational Variability Among Automated Systems in Passenger Vehicles ↗ · 2017 · Wright, Timothy J. et al. · indexed
422. A holistic approach for modeling and verification of human driver behavior ↗ · 2015 · Bouhoute, Afaf et al. · indexed
423. Modelling situation awareness relations in a multiagent system · 2015 · Blom, Henk A. P. et al. · archived
424. Situation Awareness Oriented Design: Review and Future Directions ↗ · 2024 · Endsley, Mica R. et al. · indexed
425. Integrating Human Behavior Toward the Development of Safer Cooperative Automated Transportation: Implementation of SHRP2 Naturalistic Driving Study · 2023 · Ahmed, Mohamed et al. · archived
426. 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
427. The Expert Locomotive Engineer’s Mental Model · 2021 · NHTSA · archived
428. HIERARCHICAL MODEL OF BEHAVIOURAL ADAPTATION AND TRAFFIC ACCIDENTS ↗ · 1997 · Summala, Heikki · indexed
429. Examining cognitive interference and adaptive safety behaviours in tactical vehicle control ↗ · 2007 · Horrey, William J. et al. · indexed
430. Quantifying the Individual Differences of Driver' Risk Perception with Just Four Interpretable Parameters · 2022 · Chen, Chen et al. · archived
431. The impact of visual user interfaces on drivers’ understanding of driving control mode and hands-on steering wheel requirement in Level 2 automated vehicles · 2024 · Kim, Soyeon et al. · archived
432. Preface to the Special Issue on Assessment and Effectiveness of Driver Monitoring Systems ↗ · 2023 · Biondi, Francesco et al. · indexed
433. Driver expectancy in highway design and traffic operations · 1986 · Alexander, Gerson J. et al. · archived
434. Mind Wandering Behind the Wheel ↗ · 2011 · He, Jibo et al. · indexed
435. Monitoring, managing, and motivating driver safety and well-being ↗ · 2011 · Coughlin, Joseph F. et al. · indexed
436. How Traffic Situations and Non-Driving Related Tasks Affect the Take-Over Quality in Highly Automated Driving ↗ · 2014 · Radlmayr, Jonas et al. · indexed
437. Designing for Situation Awareness: An Approach to User-Centered Design · 2003 · Endsley, Mica R. et al. · archived
438. Assessing Interference from Mental Workload Using a Naturalistic Simulated Driving Task: A Pilot Study ↗ · 2006 · Horrey, William J. et al. · indexed
439. Time to Focus on the Road: Adaptive Monitoring Requests Design for Attentional Shift in Conditional Automated Driving ↗ · 2025 · Lim, Yeonsu et al. · indexed
440. Information Needs and Visual Attention during Urban, Highly Automated Driving—An Investigation of Potential Influencing Factors · 2020 · Feierle, Alexander et al. · archived
441. 2022 Forum on the Impact of Vehicle Technologies and Automation on Users: A Summary Report · 2022 · AAA Foundation for Traffic Safety · archived
442. 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
443. An Exploratory Study of Driver Response to Reduced System Confidence Notifications in Automated Driving ↗ · 2017 · Tijerina, Louis et al. · indexed
444. Cooperation between drivers and automation: implications for safety ↗ · 2008 · Hoc, Jean-Michel et al. · indexed
445. Vehicle Automation and Operator Training: A Systematic Review ↗ · 2026 · Hungund, Apoorva Pramod et al. · indexed
446. Comparing and validating models of driver steering behaviour in collision avoidance and vehicle stabilisation · 2014 · Markkula, G. et al. · archived
447. Modeling Driver Behavior as Sequential Risk-Taking Task ↗ · 2008 · Hamdar, Samer H. et al. · indexed
448. Using situation awareness measures to characterize mental models in an inductive reasoning task ↗ · 2021 · Zhang, Tao et al. · indexed
449. Predicting Takeover Performance and Identifying Behavioral Patterns in Autonomous Vehicles Based on Readiness State and Scenario Complexity ↗ · 2025 · Lai, Hsueh-Yi et al. · indexed
450. Hazard Perception in Driving: A Systematic Literature Review · 2022 · Cao, Shi et al. · archived
451. 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
452. Review of Simulation Frameworks and Standards Related to Driving Scenarios · 2019 · Schnelle, Scott C. et al. · archived
453. After Vehicle Automation Fails: Analysis of Driver Steering Behavior after a Sudden Deactivation of Control · 2018 · DinparastDjadid, Azadeh et al. · archived
454. A data–information–knowledge cycle for modeling driving behavior · 2022 · Al Haddad, Christelle et al. · archived
455. Vision Transformer for Detecting Critical Situations and Extracting Functional Scenario for Automated Vehicle Safety Assessment ↗ · 2022 · Kang, Minhee et al. · indexed
456. A Quantitative Method of Assessing the Hazard Perception of Drivers in Human-Machine Codriving Vehicles ↗ · 2024 · Feng, Zhongxiang et al. · indexed
457. Cooperative Vehicle–Highway Automation (CVHA) Technology : Simulation of Benefits and Operational Issues · 2017 · Hunter, Michael P. et al. · archived
458. Third Generation Simulation Data (TGSIM): A Closer Look at The Impacts of Automated Driving Systems on Human Behavior · 2024 · Talebpour, Alireza et al. · archived
459. Human Factors in Driving ↗ · 2023 · Donmez, Birsen et al. · indexed
460. Situation awareness information requirements for en route air traffic control. · 1994 · Endsley, Mica R. et al. · archived
461. Enjoy the Ride Consciously with CAWA: Context-Aware Advisory Warnings for Automated Driving ↗ · 2022 · Pakdamanian, Erfan et al. · indexed
462. Manipulating music to communicate automation reliability in conditionally automated driving: A driving simulator study ↗ · 2021 · Chen, Kuan-Ting et al. · indexed
463. A Taxonomy for Autonomous Vehicles Considering Ambient Road Infrastructure · 2023 · Chen, Sikai et al. · archived
464. Benefits estimation framework for automated vehicle operations. · 2015 · Smith, Scott et al. · archived
465. A Semantic Hybrid Temporal Approach for Detecting Driver Mental Fatigue ↗ · 2024 · Ansari, Shahzeb et al. · indexed
466. This is your brain on autopilot: Neural indices of driver workload and engagement during partial vehicle automation · 2023 · McDonnell, AS et al. · archived
467. Driver heterogeneity in willingness to give control to conditional automation · 2024 · Ansar, Muhammad Sajjad et al. · archived
468. Exploring Individual Differences in Consumer Understanding of Partially Automated Driving Systems Before and After Exposure ↗ · 2023 · McDonough, Jessica et al. · indexed
469. Expectations and Understanding of Advanced Driver Assistance Systems Among Drivers, Pedestrians, Bicyclists, and Public Transit Riders · 2021 · Horrey, William J et al. · archived
470. A multimodal driver monitoring benchmark dataset for driver modeling in assisted driving automation · 2024 · Nobari, Khazar Dargahi et al. · archived
471. Influences of Level 2 Automated Driving on Driver Behaviors: A Comparison With Manual Driving ↗ · 2023 · Yang, Bo et al. · indexed
472. Control Theoretic Models of Human Drivers in Car Following ↗ · 1977 · Bekey, George A. et al. · indexed
473. Using Video Analytics to Automatically Annotate Driver Behavior and Context in Naturalistic Driving Data · 2024 · Sarkar, Abhijit et al. · archived
474. Automation Lessons from Other Domains ↗ · 2020 · Wickens, C. D. · indexed
475. Investigating the impact of driving automation systems on distracted driving behaviors ↗ · 2021 · Dunn, Naomi et al. · indexed
476. Models of Driving: Simulator Assessment of Adaptive Cruise Control Conceptual Understanding · 2018 · DeVane, Benjamin et al. · archived
477. Situation Awareness: Proceed with Caution ↗ · 1995 · Flach, John M. · indexed
478. Hazard perception performance and psychological factors of distracted drivers: what are the associations? ↗ · 2024 · Watling, Christopher N. et al. · indexed
479. Tactical driver behavior prediction and intent inference: A review ↗ · 2011 · Doshi, Anup et al. · indexed
480. MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning · 2021 · Baee, Sonia et al. · archived
481. Automated Driving Systems’ Communication of Intent with Shared Road Users · 2021 · Jenness, James et al. · archived
482. MONITORING DRIVER STATUS THROUGH IN-VEHICLE PARAMETERS ↗ · 1991 · Brookhuis, Karel · indexed
483. An Active Inference Model of Car Following: Advantages and Applications · 2023 · Wei, Ran et al. · archived
484. 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
485. Attention Distribution and Situation Awareness in Air Traffic Control ↗ · 1996 · Endsley, Mica R. et al. · indexed
486. A hierarchical risk model for traffic participants ↗ · 1988 · Van Der Molen, H H et al. · indexed
487. A Bayesian Regression Analysis of the Effects of Alert Presence and Scenario Criticality on Automated Vehicle Takeover Performance ↗ · 2023 · Alambeigi, Hananeh et al. · indexed
488. Driving behavior model considering driver's over-trust in driving automation system · 2019 · Liu, Hailong et al. · archived
489. Preliminary Human Factors Review for the Intelligent Vehicle Initiative (Ivi) Program: Identification of Human Factors Research Needs · 1998 · Campbell, John L. et al. · archived
490. Which accuracy levels of positioning technologies do drivers really need in connected vehicle settings for safety? · 2021 · Du, Na et al. · archived
491. Extended Evaluation of Training Programs To Accelerate Hazard Anticipation Skills in Novice Teens Drivers · 2021 · Plumert, Jodie M. et al. · archived
492. Conceptualization of Human Factors in Automated Driving by Work Domain Analysis ↗ · 2020 · Zhang, You et al. · indexed
493. 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
494. Evaluating the Effects of Integrated Training on Minimizing Driver Distraction · 2015 · Fisher, Donald et al. · archived
495. A Methodology for Measuring the Judgmental Components of Situation Awareness ↗ · 2000 · Strauss, Richard et al. · indexed
496. Automation transparency: implications of uncertainty communication for human-automation interaction and interfaces ↗ · 2018 · Kunze, Alexander et al. · indexed
497. Safe Control Transitions: Machine Vision Based Observable Readiness Index and Data-Driven Takeover Time Prediction · 2023 · Greer, Ross et al. · archived
498. Situation Assessment in Tactical Lane Change Behavior Planning for Automated Vehicles ↗ · 2015 · Ulbrich, Simon et al. · indexed
499. Passenger and cell phone conversations in simulated driving · 2004 · Drews, Frank A. et al. · archived
500. Graphical models for driver behavior recognition in a SmartCar ↗ · 2002 · Oliver, N. et al. · indexed
501. 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
502. 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
503. Rapid holistic perception and evasion of road hazards · 2019 · Wolfe, Benjamin et al. · archived
504. Missing no Interaction—Using STPA for Identifying Hazardous Interactions of Automated Driving Systems · 2018 · Abdulkhaleq, Asim et al. · archived
505. Experimenting With an Efficient Driver Behavior Dynamical Model Applicable to Simulated Lane Changing Tasks · 2024 · Jirgl, Miroslav et al. · archived
506. Taking Over Control From Highly Automated Vehicles in Complex Traffic Situations ↗ · 2016 · Gold, Christian et al. · indexed
507. Predictive Utility of an Objective Measure of Situation Awareness ↗ · 1990 · Endsley, Mica R. · indexed
508. Identifying the Causes of Drivers’ Hazardous States Using Driver Characteristics, Vehicle Kinematics, and Physiological Measurements · 2018 · Darzi, Ali et al. · archived
509. 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
510. Integration of Driving and Traffic Simulation: Issues and First Solutions ↗ · 2011 · Punzo, Vincenzo et al. · indexed
511. Deployment Scenarios for Vehicles with Higher-Order Automation · 2016 · Beiker, Sven · archived
512. Evaluating Effects of Cognitive Load, Takeover Request Lead Time, and Traffic Density on Drivers' Takeover Performance in Conditionally Automated Driving ↗ · 2020 · Du, Na et al. · indexed
513. Modeling driver behavior during complex maneuvers ↗ · 2013 · Lin, Theresa et al. · indexed
514. The episodic buffer: a new component of working memory? · 2000 · Baddeley, Alan · archived
515. Disengagement from driving when using automation during a 4-week field trial ↗ · 2021 · Reagan, Ian J. et al. · indexed
516. AUTOMOBIL – selbstbewegtes Fahrzeug · 2019 · Bertram, Torsten et al. · archived
517. A human factors perspective on automated driving · 2017 · Kyriakidis, Miltos et al. · archived
518. Integrated Deployment Architecture for Predictive Real-Time Traffic Routing Incorporating Human Factors Considerations · 2014 · Song, Dongyoon et al. · archived
519. Behavioral adaptation of drivers when driving among automated vehicles · 2022 · Aramrattana, Maytheewat et al. · archived
520. Assessing Situation Awareness (SA) Using Single- or Dual-Location functional Near Infrared Spectroscopy (fNIRS) · 2023 · Bracken, Bethany K. et al. · archived
521. Face and Content Validity of an Automated Vehicle Road Course and a Corresponding Simulation Scenario · 2020 · Classen, Sherrilene et al. · archived
522. Towards hybrid driver state monitoring: Review, future perspectives and the role of consumer electronics · 2016 · Melnicuk, Vadim et al. · archived
523. 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
524. Vision and Language: Novel Representations and Artificial intelligence for Driving Scene Safety Assessment and Autonomous Vehicle Planning · 2026 · Greer, Ross et al. · archived
525. The Effect of Vehicle Automation Styles on Drivers’ Emotional State ↗ · 2023 · Alsaid, Areen et al. · indexed
526. Evaluating the moderating effect of in-vehicle warning information on mental workload and collision avoidance performance ↗ · 2022 · Chai, Chen et al. · indexed
527. Identification of Human Driver Critical Behaviors and Related Reliability Evaluation in Real Time · 2022 · He, Chao et al. · archived
528. Identification of Human Driver Critical Behaviors and Related Reliability Evaluation in Real Time · 2022 · He, Chao et al. · archived
529. 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
530. Back to School: Impact of Training on Driver Behavior and State in Autonomous Vehicles ↗ · 2020 · Sibi, Srinath et al. · indexed
531. Task analysis of intersection driving scenarios : information processing bottlenecks · 2006 · Richard, Christian M. et al. · archived
532. The Effect of Vehicle Automation Styles on Drivers' Emotional State ↗ · 2023 · Alsaid, Areen et al. · indexed
533. Probabilistic Long-term Vehicle Trajectory Prediction via Driver Awareness Model ↗ · 2020 · Liu, Jinxin et al. · indexed
534. Predictive Threat Assessment via Reachability Analysis and Set Invariance Theory ↗ · 2011 · Falcone, Paolo et al. · indexed
535. Situation Awareness Information Requirements Analysis for En Route Air Traffic Control ↗ · 1994 · Endsley, Mica R. et al. · indexed
536. “I’d like an Explanation for That!”Exploring Reactions to Unexpected Autonomous Driving ↗ · 2020 · Wiegand, Gesa et al. · indexed
537. An Auditory Display for Remote Road Vehicle Operation That Increases Awareness and Presence · 2023 · Larsson, Pontus et al. · archived
538. Detecting and Quantifying Mind Wandering during Simulated Driving · 2017 · Baldwin, Carryl L. et al. · archived
539. 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
540. Lane-Change Response to Infrastructure Warning About Lane Closure in a Mixed Vehicle Fleet · 2025 · Svancara, Austin et al. · archived
541. Engagement in Non-Driving Related Tasks as a Non-Intrusive Measure for Mode Awareness: A Simulator Study ↗ · 2020 · Forster, Yannick et al. · indexed
542. Review of driver behaviour modelling for highway on‐ramp merging ↗ · 2024 · Kherroubi, Zine el abidine et al. · indexed
543. Automation's Not Perfect But Neither Are We: Unveiling Illusionary Control And Automation Bias In Automated Driving ↗ · 2023 · Manger, Carina et al. · indexed
544. Do the Branding, Tone, and Mode of Training Materials Influence Consumer Understanding of a Partially Automated Driving System? ↗ · 2021 · Singer, Jeremiah et al. · indexed
545. Analysis of Situational Acceptance and Objective Indicators During Automated Driving: A Driving Simulator Study ↗ · 2026 · Li, Chenchang et al. · indexed
546. Behavior change associated with using partial automation among three samples of drivers during a 4-week field trial ↗ · 2025 · Reagan, Ian J. et al. · indexed
547. Nudging human drivers via implicit communication by automated vehicles: Empirical evidence and computational cognitive modeling · 2024 · Abbink, David A. · archived
548. Trends in U.S. Drivers’ Perceptions and Attitudes Toward Vehicle Automation, 2019–2025 · 2026 · AAA Foundation for Traffic Safety · archived
549. Improving the Driver–Automation Interaction ↗ · 2013 · Beller, Johannes et al. · indexed
550. Driver models in automobile dynamics application ↗ · 2007 · Plöchl, Manfred et al. · indexed
551. Learning Driver Behavior Models from Traffic Observations for Decision Making and Planning ↗ · 2015 · Gindele, Tobias et al. · indexed
552. Perception and Control for Connected and Automated Vehicles · 2020 · Sciarretta, Antonio et al. · archived
553. Real-World Use of Automated Driving Systems and their Safety Consequences: A Naturalistic Driving Data Analysis · 2020 · Kim, Hyungil et al. · archived
554. Mitigating undesirable emergent behavior arising between driver and semi-automated vehicle · 2020 · Melman, Timo et al. · archived
555. Traffic Accident Human Error Quantification Considering “Yes-No” Type and “Unknown” Type Danger ↗ · 2005 · Kumamato, Hiromitsu et al. · indexed
556. ADVANCE safety evaluation · 2000 · Inman, V. et al. · archived
557. Context-Aware Driver Behavior Detection System in Intelligent Transportation Systems ↗ · 2013 · Al-Sultan, Saif et al. · indexed
558. “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
559. The Divergence of Objective and Subjective Situation Awareness: A Meta-Analysis ↗ · 2019 · Endsley, Mica R. · indexed
560. Cognitive load while driving impairs memory of moving but not stationary elements within the environment. ↗ · 2014 · Blalock, Lisa Durrance et al. · indexed
561. Real-Time Estimation of Drivers' Trust in Automated Driving Systems · 2020 · Azevedo-Sa, Hebert et al. · archived
562. Driving Simulator Project · 2014 · Khaddar, Romesh et al. · archived
563. Situation Awareness in Teams ↗ · 2020 · Endsley, Mica R. · indexed
564. Modeling the Visual and Motor Control of Steering With an Eye to Shared-Control Automation ↗ · 2011 · Mars, Franck et al. · indexed
565. Modeling the Impact of Automation on Driver Distraction: A Queuing Theory Approach ↗ · 2025 · Parker, Jah’inaya et al. · indexed
566. Final Reflections ↗ · 2015 · Endsley, Mica R. · indexed
567. Driver arousal and workload under partial vehicle automation: A pilot study · 2020 · Lohani, M et al. · archived
568. Cognitive Workload Estimation in Conditionally Automated Vehicles Using Transformer Networks Based on Physiological Data · 2024 · Wang, Ange et al. · archived
569. Driver Situation Awareness and Cognitive Workload Effects of Novel Interchange Configurations and Associated Signage · 2022 · Liu, Yunmei et al. · archived
570. Modeling and Analysis of Microscopic Risk Avoidance Behavior of Homogeneous Driver Groups Under Risk Scenarios ↗ · 2024 · Zheng, Lili et al. · indexed
571. 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
572. 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
573. Situation Awareness Oriented Design: From User's Cognitive Requirements to Creating Effective Supporting Technologies ↗ · 2003 · Endsley, Mica R. et al. · indexed
574. 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
575. Driver State Regulation via Real-Time Neurofeedback in Partially Automated Driving ↗ · 2020 · Nobari, Khazar Dargahi et al. · indexed
576. Multi-source enriched driving behavior models A driving simulator case study in Germany ↗ · 2025 · Al Haddad, Christelle et al. · indexed
577. Incorporating Driver Behaviors Into Connected and Automated Vehicle Simulation · 2016 · Songchitruksa, Praprut et al. · archived
578. Risk-based driver assistance for approaching intersections of limited visibility ↗ · 2017 · Damerow, Florian et al. · indexed
579. 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
580. Safety Through Agility: Using Mixed Reality to Tune Shared Autonomy Systems · 2024 · Loeb, Helen · archived
581. Situation Awareness ↗ · 2015 · Bass, Ellen J. et al. · indexed
582. Attention and Threat Detection: Warnings and How They Affect Takeover Performance ↗ · 2020 · Brunsen, Emily et al. · indexed
583. Autopilot, Mind Wandering, and the Out of the Loop Performance Problem ↗ · 2017 · Gouraud, Jonas et al. · indexed
584. Assessment in Driving Simulators: Where We Are and Where We Go · 2009 · Kappé, Bart et al. · archived
585. Intention to use a fully automated car: Attitudes and a priori acceptability · 2014 · Payre, William et al. · archived
586. Mode confusion of human–machine interfaces for automated vehicles ↗ · 2022 · Eom, Hwisoo et al. · indexed
587. PRECURSOR SYSTEMS ANALYSES OF AUTOMATED HIGHWAY SYSTEM. FINAL REPORT. VOLUME IV: LATERAL AND LONGITUDINAL CONTROL ANALYSIS · 1995 · Dickerson, Julie et al. · archived
588. A quantitative model of takeover request time budget for conditionally automated driving · 2024 · Tanshi, Foghor et al. · archived
589. Cell-phone use diminishes self-awareness of impaired driving · 2015 · Strayer, David L. · archived
590. Modeling driver control behavior in both routine and near-accident driving · 2014 · Markkula, Gustav · archived
591. A Two-Level Model of Driver Steering Behavior ↗ · 1978 · Donges, Edmund · indexed
592. Frequency and Quality of Exposure to Adaptive Cruise Control and Impact on Trust, Workload, and Mental Models · 2023 · Pradhan, Anuj K. et al. · archived
593. 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
594. Attentional Control in Young Drivers: Does Training Impact Hazard Anticipation in Dynamic Environments? ↗ · 2020 · Yahoodik, Sarah et al. · indexed
595. Cooperative Driving Automation — Highway Driving Simulator Architecture: High-Level Architecture Design · 2025 · Stark, John et al. · archived
596. Cooperative Adaptive Cruise Control: Human Factors Analysis · 2013 · Jones, Stephen · archived
597. Providing Drivers with Road-Edge Information to Reduce Road Departure Crashes in a Military Vehicle Fleet · 2008 · LeBlanc, David et al. · archived
598. Predicting driver behaviour at intersections based on driver gaze and traffic light recognition ↗ · 2020 · Rahman, Md. Junaedur et al. · indexed
599. Dynamic Real-Time Prediction of Drivers’ Risk Perception Using Deep Learning and Driving Simulator Data ↗ · 2026 · Masud, Saumik Sakib Bin et al. · indexed
600. Modelling communication-enabled traffic interactions · 2023 · Siebinga, Olger et al. · archived
601. Situation Awareness Information Requirements for Commercial Airline Pilots · 1998 · Endsley, Mica R. et al. · archived
602. Driving risk assessment based on naturalistic driving study and driver attitude questionnaire analysis ↗ · 2020 · Wang, Jianqiang et al. · indexed
603. Human factors issues for automated vehicles ↗ · 2012 · Harvey, Catherine · indexed
604. 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
605. Probabilistic Situation Assessment for Intelligent Vehicles with Uncertain Trajectory Distribution ↗ · 2021 · Huang, Heye et al. · indexed
606. 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
607. Overload depending on driving experience and situation complexity: Which strategies faced with a pedestrian crossing? · 2015 · Paxion, Julie et al. · archived
608. Mapping Comprehension of ADAS across Different Road Users · 2023 · AAA Foundation for Traffic Safety · archived
609. Curvilinear Approach to an Intersection and Visual Detection of a Collision ↗ · 1993 · Berthelon, Catherine et al. · indexed
610. Bridging Gaps Among Human, Assisted, and Automated Driving With DVIs: A Conceptional Experimental Study ↗ · 2018 · Wang, Jiao et al. · indexed
611. 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
612. 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
613. Cognitive load and task switching in drivers: Implications for road safety in semi-autonomous vehicles ↗ · 2024 · Xu, Jinhui et al. · indexed
614. 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
615. Social cognition and driving: Theory of mind is associated with drivers' hazard perception ↗ · 2025 · Goodhew, Stephanie C. et al. · indexed
616. Understanding Automation Surprise in Non-Critical Highly Automated Driving: An Initial On-Road Probing Study · 2024 · Dong, Haoyu et al. · archived
617. The Out-of-the-Loop Performance Problem and Level of Control in Automation ↗ · 1995 · Endsley, Mica R. et al. · indexed
618. Development of Human Factors Guidelines for Advanced Traveler Information Systems and Commercial Vehicle Operations: Task Analysis of ATIS/CVO Functions · 1996 · Wheeler, William A. et al. · archived
619. Driver Distraction Detection Methods: A Literature Review and Framework · 2021 · Kashevnik, Alexey et al. · archived
620. Comparing drivers’ visual attention at Junctions in Real and Simulated Environments · 2019 · Robbins, Chloe J. et al. · archived
621. Uncovering Variability in Human Driving Behavior Through Automatic Extraction of Similar Traffic Scenes from Large Naturalistic Datasets · 2023 · Abbink, David A. · archived
622. Opportunities and Challenges in Cooperative Road Vehicle Automation · 2021 · Shladover, Steven E. · archived
623. Situation Awareness in Hri with Collaborating Remotely Piloted Vehicles ↗ · 2005 · Riley, Jennifer M. et al. · indexed
624. Probabilistic vehicle trajectory prediction via driver characteristic and intention estimation model under uncertainty ↗ · 2020 · Liu, Jinxin et al. · indexed
625. Combined Driver Distraction and Intention Algorithm for Maneuver Prediction and Collision Avoidance ↗ · 2018 · Gillmeier, Katharina et al. · indexed
626. Driving Hazard Perception Components: A Systematic Review and Meta-Analysis. · 2023 · Habibzadeh, Yasaman et al. · archived
627. The Effect of Passenger Interaction on Situation Awareness and Driving Performance in Sleep-Deprived Condition ↗ · 2019 · Rizalmi, Sigit Rahmat et al. · indexed
628. Analysis of microscopic behavior models for probabilistic modeling of driver behavior ↗ · 2016 · Wheeler, Tim A. et al. · indexed
629. 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. · indexed
630. 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
631. Autonomous Driving in the Real World ↗ · 2016 · Dikmen, Murat et al. · indexed
632. Stress and Driving Performance: Implications for Design and Training ↗ · 2000 · Matthews, Gerald et al. · indexed
633. Nudging human drivers via implicit communication by automated vehicles: Empirical evidence and computational cognitive modeling ↗ · 2024 · Zgonnikov, Arkady et al. · indexed
634. DeepScenario: City Scale Scenario Generation for Automated Driving System Testing & Evaluation · 2023 · Liu, Henry et al. · archived
635. Cooperative Automation Research: CARMA Proof-of-Concept TSMO Use Case Testing: CARMA Cooperative Perception Concept of Operations · 2022 · Lou, Yingyan et al. · archived
636. Information Transparency in Multimodal Interfaces: Effects on Users' Situational Awareness in Autonomous Driving ↗ · 2025 · Liu, Xiaoqian et al. · indexed
637. A Review of Near-Collision Driver Behavior Models · 2012 · Markkula, Gustav et al. · archived
638. Active inference as a model of collision avoidance behavior in human drivers. · 2026 · Schumann, JF et al. · archived
639. Learning in Mixed Traffic: Drivers’ Adaptation to Ambiguous Communication Depending on Their Expectations toward Automated and Manual Vehicles ↗ · 2023 · Miller, Linda et al. · indexed
640. Development of the Driver Metacognition Questionnaire: A Scale to Measure Metacognitive Awareness While Driving ↗ · 2025 · Love, Steven et al. · indexed
641. STDA: Spatio-Temporal Dual-Encoder Network Incorporating Driver Attention to Predict Driver Behaviors Under Safety-Critical Scenarios · 2024 · Xu, Dongyang et al. · archived
642. 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
643. Perceptions of Risk and Control: Understanding Acceptance of Advanced Driver Assistance Systems · 2009 · Joshi, Somya et al. · archived
644. Uncovering variability in human driving behavior through automatic extraction of similar traffic scenes from large naturalistic datasets · 2022 · Abbink, David A. · archived
645. A Multimodal Approach for Monitoring Driving Behavior and Emotions ↗ · 2020 · Tavakoli, Arash et al. · indexed
646. Development of an Integrated Augmented Reality Testing Environment and Implementation at the American Center for Mobility · 2023 · Liu, Henry · archived
647. 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
648. Investigation of Automated Vehicle Effects on Driver's Behavior and Traffic Performance · 2016 · Aria, Erfan et al. · archived
649. Context-Adaptive Management of Drivers’ Trust in Automated Vehicles · 2020 · Azevedo-Sa, Hebert et al. · archived
650. A Lane Change Assistance System Based on Prediction of Driver Intention · 2024 · Tanshi, Foghor et al. · archived
651. Driver Logo Sign Detection and Hazard Responses during Partially Automated Driving ↗ · 2020 · Cauffman, Stephen J. et al. · indexed
652. Assessing Automation for Aviation Personnel using a Predictive Model of SA ↗ · 2009 · Strater, Laura D. et al. · indexed
653. Intelligent Modeling of Human Driver: A Survey ↗ · 2007 · Delice, İsmail İlker et al. · indexed
654. Evaluation of Ambient Light Displays for Requests to Intervene and Minimal Risk Maneuvers in Highly Automated Urban Driving ↗ · 2020 · Feierle, Alexander et al. · indexed
655. Ontology-based context awareness for driving assistance systems · 2014 · Armand, Alexandre et al. · archived
656. Recent International Activity in Cooperative Vehicle–Highway Automation Systems · 2012 · Shladover, S.E. · archived
657. An Integrated Model for User State Detection of Subjective Discomfort in Autonomous Vehicles ↗ · 2021 · Niermann, Dario et al. · indexed
658. Predicting Takeover Performance in Conditionally Automated Driving ↗ · 2020 · Du, Na et al. · indexed
659. Automated Vehicle Recommendations for Texas: A Study of Highway and Urban Operational Design Domains · 2023 · Chin, Kristie et al. · archived
660. Examining the impacts of drivers’ emotions on takeover readiness and performance in highly automated driving · 2019 · Ayoub, Jackie et al. · archived
661. Cell phone use diminishes self-awareness of the adverse effects of cell phone use on driving. · 2017 · Sanbonmatsu, David M. et al. · archived
662. ROAD ENVIRONMENT AND VISUAL ANTICIPATION OF A COLLISION DURING SELF-MOTION ↗ · 1999 · Berthelon, Catherine et al. · indexed
663. Relationships Between Cognitive and Driving Self-awareness in Older Drivers ↗ · 2021 · Paire-Ficout, Laurence et al. · indexed
664. Situation-aware decision making for autonomous driving on urban road using online POMDP ↗ · 2015 · Liu, Wei et al. · indexed
665. Expectations and Understanding of Advanced Driver Assistance Systems among Drivers, Pedestrians, Bicyclists, and Public Transit Riders · 2021 · AAA Foundation for Traffic Safety · archived
666. Precursor Systems Analysis for Automated Highway Systems: Volume II-Lateral and Longitudinal Control Final Report · 1994 · Dickerson, J. et al. · archived
667. Driving Behavioral Learning Leveraging Sensing Information from Innovation Hub · 2022 · Di, Xuan et al. · archived
668. How safe is automated driving? Human driver models for safety performance assessment ↗ · 2017 · Roesener, Christian et al. · indexed
669. Ability and skill graphs for system modeling, online monitoring, and decision support for vehicle guidance systems ↗ · 2015 · Reschka, Andreas et al. · indexed
670. The effects of displaying availability sections of an automated driving function ↗ · 2023 · Danner, Simon et al. · indexed
671. Predicting driver takeover performance in conditionally automated driving ↗ · 2020 · Du, Na et al. · indexed
672. Evaluate driver response to active warning system in level-2 automated vehicles ↗ · 2019 · Atwood, Jonathan R. et al. · indexed
673. Integration of ATIS and crash avoidance in-vehicle information : preliminary simulator study · 1999 · Bittner, A.C. et al. · archived
674. Cell phone use diminishes self-awareness of the adverse effects of cell phone use on driving. · 2017 · Strayer, David L. · archived
675. Using naturalistic and driving simulator data to model driver responses to unintentional lane departures · 2024 · Svärd, Malin et al. · archived
676. Training to Improve Drivers’ Behavior When Partial Driving Automation Fails [supporting datasets] · 2022 · Roberts, Shannon C et al. · archived
677. Examining the impacts of drivers' emotions on takeover readiness and performance in highly automated driving · 2019 · Du, Na et al. · archived
678. PLANNING AND COORDINATION IN DRIVING SIMULATION · 2015 · Schaefer, Martin · archived
679. Fatigue and Automation-Induced Impairments in Simulated Driving Performance ↗ · 1998 · Desmond, Paula A. et al. · indexed
680. Predicting Driver Takeover Performance in Conditional Automation (Level 3) through Physiological Sensing · 2024 · Deng, Min et al. · archived
681. Modeling Naturalistic Driving Environment with High-Resolution Trajectory Data · 2023 · Feng, Shuo et al. · archived
682. Should I Stay or Should I Go? Cognitive Modeling of Left-Turn Gap Acceptance Decisions in Human Drivers · 2022 · Zgonnikov, Arkady et al. · archived
683. Review of Automated Vehicle Technology: Policy and Implementation Implications · 2016 · McGehee, Daniel V. et al. · archived
684. Testing and validating high level components for automated driving: simulation framework for traffic scenarios ↗ · 2016 · Zofka, Marc Rene et al. · indexed
685. The Mind-Wandering Phenomenon While Driving: A Systematic Review ↗ · 2025 · Voinea, Gheorghe-Daniel et al. · indexed
686. Explanation Needs in Automated Driving: Insights from German Driving Education and Vehicle Acquisition ↗ · 2024 · Manger, Carina et al. · indexed
687. 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
688. The Driver's Response to Decreasing Vehicle Separations during Transitions into the Automated Lane · 1996 · Bloomfield, John R. et al. · archived
689. Measuring driving performance by car-following in traffic ↗ · 1994 · BROOKHUIS, KAREL et al. · indexed
690. Conditions for a safe state of automated road vehicles ↗ · 2015 · Reschka, Andreas et al. · indexed
691. Towards a transactional ergonomics for driver stress and fatigue ↗ · 2002 · Matthews, Gerald · indexed
692. Towards a Conceptual Model of Users’ Expectations of an Autonomous In-Vehicle Multimodal Experience · 2024 · Ince, Ecem Berfin et al. · archived
693. First international workshop on vehicle-highway automation : August 11-12, 1997 : San Diego, California, USA · 1997 · NHTSA · archived
694. Keep Your Scanners Peeled ↗ · 2016 · Hergeth, Sebastian et al. · indexed
695. Response to Emergency Vehicles When Driving in a Mixed Vehicle Fleet · 2024 · Sanchez, Robert et al. · archived
696. Perceived safety and trust in SAE Level 2 partially automated cars: Results from an online questionnaire · 2021 · Nordhoff, Sina et al. · archived
697. Toward Defining Driving Automation from a Human-Centered Perspective ↗ · 2017 · Yang, Ji Hyun et al. · indexed
698. Functional Safety Assessment of a Generic Automated Lane Centering System and Related Foundational Vehicle Systems · 2018 · Brewer, John et al. · archived
699. A Review of Driving Simulation Technology and Applications · 2020 · Bruck, Lucas et al. · archived
700. Decision-Making Framework for Automated Driving in Highway Environments ↗ · 2018 · Noh, Samyeul et al. · indexed
701. SENSOR SYSTEMS AND SIGNAL PROCESSING FOR ADVANCED DRIVER ASSISTANCE ↗ · 1995 · Naab, Karl et al. · indexed
702. An Ultra-Low-Cost Moving-Base Driving Simulator · 2001 · Sheridan, Thomas B. et al. · archived
703. 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
704. Reliable but multi-dimensional cognitive demand in operating partially automated vehicles · 2024 · Lohani, M et al. · archived
705. Modeling and analysis of driver behaviour under shared control through weighted visual and haptic guidance · 2022 · Wang, Zheng et al. · archived
706. Steering a Driving Simulator Using the Queueing Network-Model Human Processor (QN-MHP) · 2003 · Tsimhoni, Omer et al. · archived
707. Users’ Understanding of Automated Vehicles and Perception to Improve Traffic Safety –Results from a National Survey · 2019 · AAA Foundation for Traffic Safety · archived
708. Developing a Standardized Performance Evaluation of Vehicles with Automated Driving Features · 2019 · Basantis, Alexis et al. · archived
709. A Simulation Environment for Analysis and Optimization of Driver Models · 2011 · Benderius, Ola et al. · archived
710. Driver behaviors assisted by different human machine interfaces to avoid rear-end collisions during level 2 automated driving ↗ · 2023 · Yang, Bo et al. · indexed
711. The effect of communicational signals on drivers' subjective appraisal and visual attention during interactive driving scenarios ↗ · 2015 · Ba, Yutao et al. · indexed
712. AR-CP: Uncertainty-Aware Perception in Adverse Conditions with Conformal Prediction and Augmented Reality For Assisted Driving ↗ · 2024 · Doula, Achref et al. · indexed
713. Using Trust in Automation to Enhance Driver-(Semi)Autonomous Vehicle Interaction and Improve Team Performance · 2021 · Azevedo-Sa, Hebert et al. · archived
714. 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
715. Consumer Information Potpourri: Instructional and Operational Variability Among Passenger Vehicle Automated Systems ↗ · 2019 · Wright, Timothy J. et al. · indexed
716. Analysis of driver visual attention when driving with different levels of haptic steering guidance ↗ · 2017 · Wang, Zheng et al. · indexed
717. Sleep {middle dot} 5: Driving and automobile crashes in patients with obstructive sleep apnoea/hypopnoea syndrome ↗ · 2004 · George, C. F. · indexed
718. A framework for context-aware driver status assessment systems · 2013 · Craye, Céline · archived
719. Surrogate safety measures as aid to driver assistance system design of the cognitive vehicle ↗ · 2014 · Khan, Ata et al. · indexed
720. Are Vision LLMs Road-Ready? A Comprehensive Benchmark for Safety-Critical Driving Video Understanding · 2025 · Zeng, Tong et al. · archived
721. A FUZZY LOGIC MODEL OF FREEWAY DRIVER BEHAVIOR ↗ · 1999 · Das, Sanhita · indexed
722. Statistical Threat Assessment for General Road Scenes Using Monte Carlo Sampling ↗ · 2008 · Eidehall, Andreas et al. · indexed
723. Computational Models for In-Vehicle User Interface Design: A Systematic Literature Review · 2024 · Lorenz, Martin et al. · archived
724. Exploring the Effects of Vehicle Automation and Cooperative Messaging on Mixed Fleet Eco-Drive Interactions · 2024 · Sanchez, Robert et al. · archived
725. Comparing datasets for generalizing models of driver intent in dynamic environments ↗ · 2016 · Driggs-Campbell, Katherine et al. · indexed
726. Development of Human Factors Guidelines for Advanced Traveler Information Systems (ATIS) and Commercial Vehicle Operations (CVO): Integration of ATIS and Crash Avoidance In-Vehicle Information: Preliminary Simulator Study. · 1999 · Kantowitz, B. H. et al. · archived
727. 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
728. Classification of Level 2 Driving Automation Events Observed on Public Roads – Part 2 · 2021 · Snyder, Andrew C. et al. · archived
729. Computational Driver Model in Transport Engineering: COSMODRIVE ↗ · 1996 · Tattegrain-Veste, Hέlène et al. · indexed
730. Safety assessment of driving behavior in multi-lane traffic for autonomous vehicles · 2009 · Althoff, Matthias et al. · archived
731. Minding the Gap: Effects of an Attention Maintenance Training Program on Driver Calibration ↗ · 2020 · Unverricht, James et al. · indexed
732. A Pilot Study Verifying How the Curve Information Impacts on the Driver Performance with Cognition Model ↗ · 2013 · Zhao, Xiaohua et al. · indexed
733. Driving with Partial Driving Automation Systems: Developing Effective Training that Drivers Will Use · 2025 · AAA Foundation for Traffic Safety · archived
734. Using Naturalistic Data to Develop Simulator Scenarios · 2017 · Gaspar, John et al. · archived
735. Investigating Key Automated Vehicle Human Factors Safety Issues Related to Infrastructure: Summary of Stakeholder Workshop · 2020 · Roldan, Stephanie M. et al. · archived
736. Driver Distraction: Mechanisms, Evidence, Prevention, and Mitigation · 2023 · Regan, Michael A. et al. · archived
737. Driver Behavior Modeling: Developments and Future Directions ↗ · 2016 · AbuAli, Najah et al. · indexed
738. A Full Driving Simulator of Urban Traffic including Traffic Accidents ↗ · 2007 · Mindán, Jesús Félez et al. · indexed
739. Quantifying Distraction Potential of Augmented Reality Head-Up Displays for Vehicle Drivers ↗ · 2018 · Kim, Hyungil et al. · indexed
740. Using the Driving Behavior of an Automated Vehicle to Communicate Intentions - A Wizard of Oz Study ↗ · 2018 · Fuest, Tanja et al. · indexed
741. Situation Awareness, Mental Workload, and Trust in Automation: Viable, Empirically Supported Cognitive Engineering Constructs ↗ · 2008 · Parasuraman, Raja et al. · indexed
742. Improvement and Calibration of Driving Safety Field Model: Resolving Risk Characterization Mismatches ↗ · 2026 · Hu, Yanting et al. · indexed
743. A Study on Functional Safety, SOTIF and RSS from the Perspective of Human-Automation Interaction ↗ · 2021 · Zhang, You et al. · indexed
744. Earcons to reduce mode confusions in partially automated vehicles: Development and application of an evaluation method · 2023 · Monsaingeon, Noé et al. · archived
745. Driver intervention performance assessment as a key aspect of L3–L4 automated vehicles deployment ↗ · 2021 · Rodak, Aleksandra et al. · indexed
746. Predicting Take-over Time for Autonomous Driving with Real-World Data:\n Robust Data Augmentation, Models, and Evaluation · 2021 · Rangesh, Akshay et al. · archived
747. Driver Model Using Fuzzy Logic for Virtual Validation · 2024 · Lombera, Daniel Cisneros et al. · archived
748. The Use of a Full-Scale Driving Simulator in Evaluating Driver Comprehension of Traffic Signals ↗ · 2002 · Michael A. Knodler, Jr. et al. · indexed
749. Adaptive driver modelling in ADAS to improve user acceptance: A study using naturalistic data · 2018 · Fleming, James M. et al. · archived
750. A critique of the SAE conditional driving automation definition, and analyses of options for improvement · 2018 · Inagaki, Toshiyuki et al. · archived
751. Driver Acceptance of Connected, Automation-Assisted Cruise Control : Experiment 1 · 2018 · Inman, Vaughan W. et al. · archived
752. Cognitive Cars: A New Frontier for ADAS Research ↗ · 2011 · Li, Li et al. · indexed
753. Situation Awareness ↗ · 2006 · Endsley, Mica R. · indexed
754. Exploratory Advanced Research (EAR) Program: Compendium of Papers from Funded Research Projects · 2023 · NHTSA · archived
755. European NCAP Program Developments to Address Driver Distraction, Drowsiness and Sudden Sickness ↗ · 2021 · Fredriksson, Rikard et al. · indexed
756. Preparing for the Future of Transportation: Automated Vehicles 3.0 · 2018 · NHTSA · archived
757. Driver model for the analysis of pre-accident situations ↗ · 2009 · Jurecki, R. et al. · indexed
758. Investigating the Effects of Alcohol Consumption on Manual and Automated Driving: A Systematic Review · 2024 · Dong, Miaomiao et al. · archived
759. Study of the population in terms of knowledge about the distance between vehicles in motion ↗ · 2021 · Krzysztof, Olejnik · indexed
760. A formal model of human driving behavior in vehicular networks ↗ · 2014 · Bouhoute, Afaf et al. · indexed
761. Overcoming Representational Errors in Complex Environments ↗ · 2000 · Jones, Debra G. et al. · indexed
762. Developing Analysis, Modeling, and Simulation Tools for Connected and Automated Vehicle Applications · 2021 · Huang, Zhitong et al. · archived
763. Development and evaluation of collision warning/collision avoidance algorithms using an errable driver model ↗ · 2010 · Yang, Hsin-Hsiang et al. · indexed
764. Experimental Design for Human-in-the-Loop Driving Simulations · 2014 · Driggs-Campbell, Katherine et al. · archived
765. ERGONOMICS OF THE DRIVER'S INTERFACE WITH THE ROAD ENVIRONMENT: THE CONTRIBUTION OF PSYCHOLOGICAL RESEARCH ↗ · 2002 · Saad, Fathinul Syahir Ahmad · indexed
766. Generalized Dynamic Cognitive Hierarchy Models for Strategic Driving Behavior · 2022 · Sarkar, Atrisha et al. · archived
767. A Review of Shared Control for Automated Vehicles: Theory and Applications · 2020 · Marcano, Mauricio et al. · archived
768. “Take over!” How long does it take to get the driver back into the loop? ↗ · 2013 · Gold, Christian et al. · indexed
769. A Statistical and Machine Learning Approach to Assess Contextual Complexity of the Driving Environment Using Autonomous Vehicle Data— Technology Transfer Activities · 2024 · Ogle, Jennifer H et al. · archived
770. Human Performance Models of Pilot Behavior · 2005 · Wickens, C. D. · archived
771. Driver Reactions to Automated Vehicles · 2018 · Eriksson, Alexander et al. · archived
772. Advanced Crash Avoidance Technologies (ACAT) Program - Final Report of the Volvo-Ford-UMTRI Project: Safety Impact Methodology for Lane Departure Warning - Method Development and Estimation of Benefits · 2010 · Gordon, T. et al. · archived
773. 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
774. Applying Mambaattention, Tabpfn, and Tabtransformers to Classify Sae Automation Levels in Crashes · 2025 · Das, Subasish et al. · archived
775. 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
776. Great expectations: a predictive processing account of automobile driving · 2017 · Engström, Johan et al. · archived
777. Travel modeling in an era of connected and automated transportation systems: an investigation in the Dallas-Fort Worth area. · 2017 · Kuhr, James et al. · archived
778. Situation Awareness and Cognitive Modeling ↗ · 2012 · Kokar, Mieczyslaw M. et al. · indexed
779. The concept of “presence” as a measure of ecological validity in driving simulators · 2015 · Deniaud, Christophe et al. · archived
780. Automotive Collision Avoidance System Field Operational Test (ACAS FOT): Final Program Report · 2005 · NHTSA · archived
781. Design and Evaluation for Situation Awareness Enhancement ↗ · 1988 · Endsley, Mica R. · indexed
782. 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
783. Perception Sharing for Cooperative Driving Automation (CDA) · 2025 · NHTSA · archived
784. User interface design and verification for semi-autonomous driving · 2014 · Sadigh, Dorsa et al. · archived
785. Deep InSight: A Driver-State Estimation Platform for Processing Naturalistic Driving Data · 2024 · Sharma, Anuj et al. · archived
786. Evaluating Autonomous Vehicles’ Safety Benefits in Mixed Autonomy Scenarios · 2024 · Joe-Wong, Carlee et al. · archived
787. A framework for representing agent and human situation awareness ↗ · 2011 · Jones, Rashaad E. T. et al. · indexed
788. Development of a Novice Driver Training Module to Accelerate Driver Perceptual Expertise · 2017 · AAA Foundation for Traffic Safety · archived
789. Differences in drivers’ dependence on AR warning information in urban driving environments: the role of driving experience · 2025 · Huo, Faren et al. · archived
790. Malleable Attentional Resources Theory: A New Explanation for the Effects of Mental Underload on Performance · 2002 · Young, Mark S. et al. · archived
791. Balancing temporal dynamics with measurement noise in real-time situation awareness prediction ↗ · 2025 · Smith, Kieran J et al. · indexed
792. Modeling the influence of connected vehicles on driving behaviors and safety outcomes in highway crash scenarios across varied weather conditions: A multigroup structural equation modeling analysis using a driving simulator experiment ↗ · 2024 · Alruwaili, Abdalziz et al. · indexed
793. Situation Awareness in Anesthesia ↗ · 2013 · Schulz, Christian et al. · indexed
794. Integrated driving risk surrogate model and car-following behavior for freeway risk assessment ↗ · 2024 · Wu, Renfei et al. · indexed
795. An interactive driver assistance system monitoring the scene in and out of the vehicle ↗ · 2004 · Petersson, Lars et al. · indexed
796. Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques · 2024 · Furht, Borko · archived
797. A survey on motion prediction and risk assessment for intelligent vehicles · 2014 · Lefèvre, Stéphanie et al. · archived
798. Perception Sharing for Cooperative Driving Automation (CDA) · 2024 · NHTSA · archived
799. Partial-autonomous frenzy: Driving a level-2 vehicle on the open road · 2017 · Biondi, F et al. · archived
800. Presenting system uncertainty in automotive UIs for supporting trust calibration in autonomous driving ↗ · 2013 · Helldin, Tove et al. · indexed
801. DivNEDS: Diverse Naturalistic Edge Driving Scene Dataset for Autonomous Vehicle Scene Understanding · 2024 · Duah, John Owusu et al. · archived
802. Spatio-Semantic Road Space Modeling for Vehicle–Pedestrian Simulation to Test Automated Driving Systems ↗ · 2020 · Schwab, Benedikt et al. · indexed
803. Generalizing Predictive Models of Situation Awareness to Unseen Participants ↗ · 2025 · Smith, Kieran J. et al. · indexed
804. First Annual Report: Automotive Collision Avoidance System Field Operational Test · 2002 · NHTSA · archived
805. AUTOMATED DRIVING SYSTEMS: COMPARISON OF TRAINING METHODS’ EFFECTIVENESS · 2024 · RODAK, Aleksandra et al. · archived
806. Influence of Task Knowledge and Display Features on Driver Attention to Cluttered Navigation Displays ↗ · 2017 · Pankok, Carl et al. · indexed
807. The impact of intermediate levels of automation on situation awareness and performance in dynamic control systems ↗ · 2002 · Engsley, M.R. et al. · indexed
808. 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
809. Towards a Viable Autonomous Driving Research Platform · 2019 · Wei, Junqing et al. · archived
810. Perception of relative distance in a driving simulator^1,2 ↗ · 2005 · BAUMBERGER, BERNARD et al. · indexed
811. A Two-Point Visual Control Model of Steering ↗ · 2004 · Salvucci, Dario D et al. · indexed
812. A Driving Simulator Investigation on the Aggressiveness of an Automatic Lane-Change System · 2025 · Guan, Muhua et al. · archived
813. Pilot Situation Awareness Training in General Aviation ↗ · 2000 · Endsley, Mica R. et al. · indexed
814. IVI human factors strategy · 1999 · Ference, Jack · archived
815. Analysis of the effects of adaptive cruise control on driver behavior and awareness using a driving simulator ↗ · 2020 · Kummetha, Vishal C. et al. · indexed
816. Situation awareness: State of the art ↗ · 2008 · Endsley, Mica R. et al. · indexed
817. Three Decades of Driver Assistance Systems: Review and Future Perspectives ↗ · 2014 · Bengler, Klaus et al. · indexed
818. Modeling and Recognition of Driving Behavior Based on Stochastic Switched ARX Model ↗ · 2007 · Sekizawa, S. et al. · indexed
819. Predicting Driver Takeover Time in Conditionally Automated Driving · 2021 · Ayoub, Jackie et al. · archived
820. Formalizing Human Machine Communication in the Context of Autonomous Vehicles · 2020 · Gopalswamy, Swaminathan et al. · archived
821. The impact of smart driving aids on driving performance and driver distraction · 2011 · Birrell, S.A. et al. · archived
822. Situation Awareness Requirements for Infantry Platoon Leaders ↗ · 2004 · Matthews, Michael D. et al. · indexed
823. Providing Explainability in Safety-Critical Automated Driving Situations through Augmented Reality Windshield HMIs ↗ · 2023 · Manger, Carina et al. · indexed
824. 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
825. Evaluating Model Mismatch Impacting CACC Controllers in Mixed Traffic Using a Driving Simulator · 2018 · Aramrattana, Maytheewat et al. · archived
826. Making Driving Simulators More Useful for Behavioral Research: Simulator Characteristics Comparison and Model-Based Transformation, Summary Report · 2015 · Philips, Brian H. et al. · archived
827. Autonomous Ground Vehicles—Concepts and a Path to the Future ↗ · 2012 · Luettel, Thorsten et al. · indexed
828. Effects of Marking Automated Vehicles on Human Drivers on Highways · 2020 · Fuest, Tanja et al. · archived
829. Detailed Concept of Operations: Transportation Systems Management and Operations/Cooperative Driving Automation Use Cases and Scenarios · 2020 · Nallamothu, Sudhakar et al. · archived
830. Takeover Safety Analysis with Driver Monitoring Systems and Driver–Vehicle Interfaces in Highly Automated Vehicles ↗ · 2021 · Yu, Dongyeon et al. · indexed
831. A driving simulator study on the perception of distances in situations of car-following and overtaking · 2006 · Bergeron, Jacques et al. · archived
832. Do we trust automated vehicles? A driving simulator study · 2024 · De, Giulia et al. · archived
833. Adaptive Individual-Level Cognitive Driving Anomaly Detection Model Exclusively Using BSMs ↗ · 2023 · Wu, Di et al. · indexed
834. A 3-level driver model and its application to driving simulations ↗ · 1999 · Plöchl, Manfred et al. · indexed
835. Advances in Human-Machine Systems for In-Vehicle Environments: Noise and Cognitive Stress/Distraction ↗ · 2011 · Hansen, John H.L. et al. · indexed
836. Automated vehicle-involved traffic flow studies: A survey of assumptions, models, speculations, and perspectives ↗ · 2021 · Yu, Haiyang et al. · indexed
837. Automated Vehicles and Adverse Weather: Final Report · 2019 · Neumeister, David M. et al. · archived
838. Effects of Cognitive Load and Anticipation on Driver Responses to a Critical Traffic Event ↗ · 2018 · Engström, Johan et al. · indexed
839. Cognitive Biases in User Interaction with Automated Vehicles: The Influence of Explainability and Mental Models ↗ · 2025 · Manger, Carina et al. · indexed
840. Consumer Education and Training for Vehicle Automation: Outcomes from an Expert Workshop · 2024 · AAA Foundation for Traffic Safety · archived
841. Subtle motion cues by automated vehicles can nudge human drivers’ decisions: Empirical evidence and computational cognitive model · 2023 · Zgonnikov, Arkady et al. · archived
842. Safety Assurance System Utilizing Visual Attention for Advanced Driver-Assistance Systems · 2023 · Jing, Haoming et al. · archived
843. Transferability of Car-Following Models Between Driving Simulator and Field Traffic · 2017 · Papadimitriou, Stavros et al. · archived
844. Design of automation for telerobots and the effect on performance, operator situation awareness, and subjective workload ↗ · 2000 · Kaber, David B. et al. · indexed
845. Phase II Driver Survey Report: Volvo Intelligent Vehicle Initiative Field Operational Test · 2004 · NHTSA · archived
846. Unsupervised Patterns of Driver Mental Fatigue State Based on Head Posture Using Gaussian Mixture Model ↗ · 2020 · Ansari, Shahzeb et al. · indexed
847. Situation Awareness as a Predictor of Performance for En Route Air Traffic Controllers ↗ · 1998 · Durso, Francis T. et al. · indexed
848. 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
849. Vehicle Owners’ Experiences with and Reactions to Advanced Driver Assistance Systems · 2018 · AAA Foundation for Traffic Safety · archived
850. Modelling and simulation of (connected) autonomous vehicles longitudinal driving behavior: A state‐of‐the‐art ↗ · 2023 · Sadid, Hashmatullah et al. · indexed
851. A Path towards Sustainable Vehicle Automation: Willingness to Engage in Level 3 Automated Driving · 2022 · Tomasevic, Nebojsa et al. · archived
852. A Comparative Study of Ego-centric and Cooperative Perception for Lane Change Prediction in Highway Driving Scenarios · 2021 · Mozaffari, Sajjad et al. · archived
853. Steering behavior model of drivers on driving simulator through visual information ↗ · 2016 · Suzaki, Tomohito et al. · indexed
854. Human Factors Aspects of the Transfer of Control from the Driver to the Automated Highway System · 1995 · Bloomfield, John R. et al. · archived
855. Using a Situational Awareness Display to Improve Rider Trust and Comfort with an AV Taxi ↗ · 2019 · Chang, Chun-Cheng et al. · indexed
856. 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
857. Level of automation effects on performance, situation awareness and workload in a dynamic control task ↗ · 1999 · Endsley, Mica R. et al. · indexed
858. Driver Training for Shared Autonomy Systems Using Mixed Reality · 2025 · Mangharam, Rahul et al. · archived
859. Preface to the Special Issue on Human Factors and Advanced Vehicle Automation: Of Benefits, Barriers, and Bridges to Safe and Effective Implementation ↗ · 2020 · Horrey, William J. et al. · indexed
860. Development of Tools to Model Driver Behavior in a Cooperative and Driverless Vehicle Mixed Roadway Environment · 2022 · Hunter, Michael et al. · archived
861. An assessment of autonomous vehicles : traffic impacts and infrastructure needs : final report. · 2017 · Kockelman, Kara et al. · archived
862. Learning from Demonstrations of Critical Driving Behaviours Using Driver's Risk Field · 2023 · Du, Yurui et al. · archived
863. Research on the Integrated Cognitive Topological Structure of Driver in the Multi-Resource Information Fusion ↗ · 2012 · Zheng, Zhi et al. · indexed
864. Driver Cognitive Distraction Recognition Based on Multi-Source Data from Simulated Driving Experiments ↗ · 2025 · Qu, Chixiong et al. · indexed
865. Automated video feature extraction : workshop summary report October 10-11 2012. · 2012 · Morton, Tom · archived
866. Generative AI for Autonomous Driving: Frontiers and Opportunities · 2025 · Wang, Yuping et al. · archived
867. A multimodal interaction concept for cooperative driving ↗ · 2013 · Zimmermann, Markus et al. · indexed
868. Which factors lead to driving errors? A structural equation model analysis through a driving simulator experiment ↗ · 2019 · Papantoniou, Panagiotis et al. · indexed
869. Human online reliability estimation applied to real driving maneuvers · 2020 · He, Chao et al. · archived
870. The Potential of Multiple Connected and Federated Simulators and Models for Highway Transportation Research · 2017 · Fisher, Donald et al. · archived
871. Perception Enhancement and Improving Driving Context Recognition of an Autonomous Vehicle Using UAVs · 2022 · Khezaz, Abderraouf et al. · archived
872. Addressing the Challenges in NextGen Decision Making · 2012 · Mosier, Kathleen et al. · archived
873. Team situation awareness for process control safety and performance ↗ · 1998 · Kaber, David B. et al. · indexed
874. Automated driving: Safety blind spots ↗ · 2017 · Noy, Ian Y. et al. · indexed
875. Identifying Mental Frameworks Underlying Driver Behavior in Urban Contexts [Summary] · 2024 · Carver, DeWayne et al. · archived
876. Driving simulator study for the effects of autonomous vehicles on drivers behaviour under car-following conditions · 2022 · Calvi, Alessandro et al. · archived
877. Automated driving experiences, attention, and intentions following extensive on-road usage of a level 2 automation vehicle ↗ · 2024 · Sanbonmatsu, DM et al. · indexed
878. Training for Unmanned Vehicle Allocation with Automation in a Dynamic Microworld ↗ · 2012 · Clegg, Benjamin A. · indexed
879. Effects of Training Content and Approach on Drivers’ Understanding of and Performance with Advanced Driver Assistance Systems · 2025 · AAA Foundation for Traffic Safety · archived
880. 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
881. Steering Control Characteristics of Human Driver Coupled with an Articulated Commercial Vehicle ↗ · 2014 · Taheri, Siavash · indexed
882. Effect of System Capability Verification on Conflict, Trust, and Behavior in Automated Vehicles · 2022 · Woide, Marcel et al. · archived
883. Modeling and Measuring Situation Awareness in the Infantry Operational Environment ↗ · 2000 · Endsley, Mica R. et al. · indexed
884. Gaze Supervision for Mitigating Causal Confusion in Driving Agents · 2024 · Biswas, Abhijat et al. · archived
885. Sensors and Sensing for Intelligent Vehicles ↗ · 2020 · Fernández Llorca, David et al. · indexed
886. RiskNet: interaction-aware risk forecasting for autonomous driving in long-tail scenarios · 2025 · Liu, Qichao et al. · archived
887. Modeling the decision-making in human driver overtaking · 2020 · Stefansson, Elis et al. · archived
888. A conceptual framework for requirement specification and evaluation of active safety functions ↗ · 2010 · Aust, Mikael Ljung et al. · indexed
889. Evaluation of Driver Assistance Systems—A Human Centered Approach ↗ · 2002 · Peng, Huei · indexed
890. Automatic Safety Diagnosis in a Connected Vehicle Environment · 2022 · Whalin, Robert W et al. · archived
891. Driver’s Anticipation and Memory Driving Car-Following Model ↗ · 2020 · Jafaripournimchahi, Ammar et al. · indexed
892. Complementing Haptic Shared Control With Visual Feedback for Obstacle Avoidance ↗ · 2019 · Abbink, David A. · indexed
893. Analysis of driver behavior at grade-separated intersections to support design ↗ · 2024 · Liu, Y. et al. · indexed
894. Intelligent Mobility for Smart Cities: Driver Behaviour Models for Assessment of Sustainable Transport ↗ · 2014 · Dia, Hussein et al. · indexed
895. Automation of task processes: An example of intelligent transportation systems ↗ · 2000 · Ward, Nicholas · indexed
896. Modeling driver behavior under extreme conditions ↗ · 2005 · Hamdar, Samer H. et al. · indexed
897. Real-Time Detection System of Driver Distraction Using Machine Learning · 2013 · Tango, Fabio et al. · archived
898. Guided Attention For Autonomous System Supervision ↗ · 2012 · Cook, Maia B. et al. · indexed
899. Study on Decision Mechanism of Driving Behavior Based on Decision Tree ↗ · 2008 · Yang, Xinyue · indexed
900. Head-Up Displays in Urban Partially Automated Driving: Effects of Using Augmented Reality ↗ · 2019 · Feierle, Alexander et al. · indexed
901. The Role of Working Memory in Levels of Situation Awareness ↗ · 2012 · Gutzwiller, Robert S. et al. · indexed
902. Behavioral decision‐making model of the intelligent vehicle based on driving risk assessment ↗ · 2019 · Zheng, Xunjia et al. · indexed
903. Connected and Autonomous Vehicles 2040 Vision · 2014 · Mashayekh, Yeganeh et al. · archived
904. Human Factors in the Automated Highway System: Transferring Control to the Driver · 1995 · NHTSA · archived
905. Sensor-enabled Calibration of VR-Integrated Co-Simulation Platforms for Enhanced Accuracy in Multi-modal Mobility Models · 2024 · Ergan, Semiha et al. · archived
906. What's around the corner? · 2014 · Beattie, David et al. · archived
907. The effect of visual advanced driver assistance systems on a following human driver in a mixed-traffic condition · 2023 · Ariansyah, Dedy et al. · archived
908. Collision avoidance in dynamic environments applied to autonomous vehicle guidance on the motorway ↗ · 2005 · Reichardt, Dirk et al. · indexed
909. A Stochastic Delay Differential Equation Model of Multitasking While Driving ↗ · 2026 · Trommler, Daniel et al. · indexed
910. A Predictive Model of a Driver’s Target Trajectory Based on Estimated Driving Behaviors ↗ · 2023 · Yan, Zhanhong et al. · indexed
911. DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data · 2020 · Pakdamanian, Erfan et al. · archived
912. SafeTrip 21 initiative : networked traveler foresighted driving field experiment, final report. · 2011 · Nowakowski, Christopher et al. · archived
913. Driver-vehicle interaction: identification, characterization and modelling of path tracking skill ↗ · 2010 · Erséus, Andreas · indexed
914. Risk scenario designs for driving simulator experiments ↗ · 2021 · Amini, Roja Ezzati et al. · indexed
915. Defining interactions: a conceptual framework for understanding interactive behaviour in human and automated road traffic ↗ · 2020 · Markkula, G. et al. · indexed
916. Identification of a Linear Parameter Varying Driver Model for the Detection of Distraction ↗ · 2015 · Ameyoe, Ablamvi et al. · indexed
917. Timing of unstructured transitions of control in automated driving ↗ · 2015 · Mok, Brian et al. · indexed
918. Understanding cyclists’ perception of driverless vehicles through eye-tracking and interviews ↗ · 2024 · Berge, Siri Hegna et al. · indexed
919. Validation of a driving simulator for research into human factors issues of automated vehicles · 2019 · Tomasevic, Nebojsa et al. · archived
920. MODELING ACCELERATION BEHAVIOR IN A CONNECTED ENVIRONMENT ↗ · 2015 · Talebpour, Alireza et al. · indexed
921. The Effect of Whole-Body Haptic Feedback on Driver’s Perception in Negotiating a Curve · 2018 · Pakdamanian, Erfan et al. · archived
922. Modeling of Traffic Flow of Automated Vehicles ↗ · 2004 · Li, K. et al. · indexed
923. The Future Driver: Exploring the Safety Challenges of Level 4 Automated Vehicles During Manual Control ↗ · 2025 · Andriola, Cesar et al. · indexed
924. SACA: A Scenario-Aware Collision Avoidance Framework for Autonomous Vehicles Integrating LLMs-Driven Reasoning · 2025 · Zhao, Shiyue et al. · archived
925. The Role of Machine Vision for Intelligent Vehicles ↗ · 2016 · Ranft, Benjamin et al. · indexed
926. 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
927. Human Factors Research on Future Automotive Instrumentation: A Progress Report ↗ · 1991 · Green, Paul et al. · indexed
928. Image Processing Approaches to Traffic Situation Understanding, Risk Assessment, and Safety · 2023 · Yang, Dongfang et al. · archived
929. Investigation of Key Safety Measures for Pre and Post-Deployment of Connected and Automated Vehicles · 2025 · Kondyli, Alexandra et al. · archived
930. Modeling the Dynamics of Driver’s Dilemma Zone Perception Using Machine Learning Methods for Safer Intersection Control · 2014 · Abbas, Montasir et al. · archived
931. Modelling cognitive processes of experienced air traffic controllers ↗ · 1999 · Niessen, Cornelia et al. · indexed
932. Influence of Prior General Knowledge on Older Adults’ Takeover Performance and Attitude Toward Using Conditionally Automated Driving Systems ↗ · 2021 · Zhou, Huiping et al. · indexed
933. Fast Lane - Exploring Human Behavior - Volume 14 · 2021 · NHTSA · archived
934. Communicating intent on the road through human-inspired control schemes · 2016 · Driggs-Campbell, Katherine et al. · archived
935. Enhanced Presence in Driving Simulators Using Autonomous Traffic with Virtual Personalities ↗ · 2002 · Wright, Steve et al. · indexed
936. Modeling Motorway Driving Behavior ↗ · 1999 · Hogema, Jeroen H. · indexed
937. From Scene to Object: Text-Guided Dual-Gaze Prediction · 2026 · Ke, Zehong et al. · archived
938. Assessment of Contextual Complexity and Risk Using Unsupervised Clustering Approaches with Dynamic Traffic Condition Data Obtained from Autonomous Vehicles · 2024 · Ogle, Jennifer H et al. · archived
939. Assessing public perception of self-driving cars ↗ · 2019 · Hewitt, Charlie et al. · indexed
940. Evidence from a Partial Report Task for Forgetting in Dynamic Spatial Memory ↗ · 1998 · Gugerty, Leo · indexed
941. A computational analysis of driving variations on distributed multiuser driving simulators ↗ · 2008 · Yasar, Ansar-Ul-Haque et al. · indexed
942. Research advances in intelligent collision avoidance and adaptive cruise control ↗ · 2003 · Vahidi, Ardalan et al. · indexed
943. Level of Automation: Integrating Humans and Automated Systems ↗ · 1997 · Endsley, Mica R. · indexed
944. Driver modeling: Data collection, model analysis, and optimization ↗ · 2012 · Benderius, Ola · indexed
945. Development of Human Factors Guidelines for Advanced Traveler Information Systems and Commercial Vehicle Operations: Investigation of ATIS Function Transition and the Effects of an In-Vehicle ATIS on Driver Performance · 1999 · Campbell, J.L. et al. · archived
946. Cooperative Overtaking: Overcoming Automated Vehicles' Obstructed Sensor Range via Driver Help · 2019 · Walch, Marcel et al. · archived
947. Using Connected Intelligent Transportation To Enhance Vulnerable Road User Safety · 2025 · Huang, Zilin et al. · archived
948. Examining Senior Drivers Adaptation to Mixed Level Automated Vehicles: A Naturalistic Study · 2019 · Liang, Dan et al. · archived
949. Taxonomy and Definitions for Terms Related to On-Road Motor Vehicle Automated Driving Systems ↗ · 2014 · On-Road Automated Driving (ORAD) Committee · indexed
950. Investigating HMIs to Foster Communications between Conventional Vehicles and Autonomous Vehicles in Intersections ↗ · 2023 · Avetisyan, Lilit et al. · indexed
951. Building Contextualized Trust Profiles in Conditionally Automated Driving · 2024 · Avetisyan, Lilit et al. · archived
952. Experience, Results and Lessons Learned from Automated Driving on Germany's Highways ↗ · 2015 · Aeberhard, Michael et al. · indexed
953. SACAT: An instrumented vehicle for driver assistance and safety · 2012 · Aliane, Nourdine et al. · archived
954. Understanding teleoperation: A human-centered framework for workplace design · 2025 · Nick, Alexandra et al. · archived
955. From Driving Simulator Experiments to Field-Traffic Application: Improving the Transferability of Car-Following Models · 2021 · Paschalidis, Evangelos et al. · archived
956. Interaction-Aware Probabilistic Behavior Prediction in Urban Environments ↗ · 2018 · Schulz, Jens · indexed
957. Validity of Driving Simulator for Agent-Human Interaction · 2014 · Ba, Yutao et al. · archived
958. Automation, Task, and Context Features ↗ · 2013 · Morrow, Daniel · indexed
959. Development of a Conceptual Framework Toward an Integrated Transportation System · 2009 · Ni, Daiheng et al. · archived
960. A Perceptually Inspired Driver Model for Speed Control in Curves · 2018 · Abbink, David A. · archived
961. Delays, inaccuracies and anticipation in microscopic traffic models · 2005 · Treiber, Martin et al. · archived
962. Combining Stochastic and Scenario Model Predictive Control to Handle Target Vehicle Uncertainty in an Autonomous Driving Highway Scenario · 2018 · Brüdigam, Tim et al. · archived
963. Estimating Driver Personality Traits From On-Road Driving Data · 2023 · Kimura, Ryusei et al. · archived
964. Stages and Levels of Automation: An Integrated Meta-analysis ↗ · 2010 · Wickens, Christopher D. et al. · indexed
965. Driving on Rough Surface Requires Care and Attention · 2017 · Kawamura, Akira et al. · archived
966. A microscopic model of urban traffic for implementation in driving simulators ↗ · 2006 · Maroto, J. et al. · indexed
967. Test Drives in the Daimler-Benz Driving Simulator with Drivers under Diazepam · 1990 · Friedel, B. et al. · archived
968. ODD-Based Long-Term Decision-Making for Intelligent Vehicles · 2025 · Cardenas, Rhandy et al. · archived
969. UF & UAB’s Phase I Demonstration Study: Older Driver Experiences With Autonomous Vehicle Technology · 2021 · Classen, Sherrilene et al. · archived
970. Automated Driving Systems (ADS) Operational Behavior and Traffic Regulations Information – Concept of Use · 2020 · Garrett, Kyle et al. · archived
971. Test Drivers in the Daimler-Benz Driving Simulator with Drivers under Diphenhydramine · 1991 · Friedel, B. et al. · archived
972. Understanding Risks and Opportunities for Ramp Metering Control in a Mixed-Autonomy Future · 2025 · Stern, Raphael et al. · archived
973. Drivers of partially automated vehicles are blamed for crashes that they cannot reasonably avoid · 2022 · Abbink, David A. · archived
974. Intelligent Driving Intelligence Test for Autonomous Vehicles with Naturalistic and Adversarial Environment · 2021 · Feng, Shuo et al. · archived
975. Safety on the Italian Highways: Impacts of the Highway Chauffeur System · 2019 · Agriesti, Serio et al. · archived
976. Scenario model predictive control for lane change assistance on highways ↗ · 2015 · Schildbach, Georg et al. · indexed
977. Physical Fidelity of Driving Simulators ↗ · 2011 · Greenberg, Jeffry et al. · indexed
978. Analysis of Advanced Driver-Assistance Systems in Police Vehicles · 2023 · Zahabi, Maryam et al. · archived
979. Distraction and Inattention Countermeasure Technologies ↗ · 2011 · Victor, Trent · indexed
980. 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
981. Evaluating Driver Perceptions of Integrated Safety Monitoring Systems for Alcohol Impairment and Distraction · 2025 · Patibandla, RoshikNagaSai et al. · archived
982. Road Projections: Impact on Road Users and Potential to Enhance Awareness of Backing Situation in Parking Lots ↗ · 2021 · Azouigui, S. et al. · indexed
983. Disruptions, Interruptions and Information Attack: Impact on Situation Awareness and Decision Making · 2001 · Endsley, Mica R. et al. · archived
984. 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
985. 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
986. Unreliable Automated Attention Cueing for Air-Ground Targeting and Traffic Maneuvering ↗ · 1999 · Wickens, C. D. · indexed
987. Risk Analysis of Autonomous Vehicles in Mixed Traffic Streams · 2017 · Dey, Kakan Chandra et al. · archived
988. The impact of the following vehicles behaviors on the car following behaviors of the ego-vehicle · 2025 · Liu, Yang et al. · archived
989. Cognitive Underpinnings of Beliefs and Confidence in Beliefs about Fully Automated Vehicles · 2019 · Sanbonmatsu, David M. et al. · archived
990. Intelligent Vehicle Initiative Forum : proceedings · 1997 · NHTSA · archived
991. Gaze Supervision for Mitigating Causal Confusion in Driving Agents · 2024 · Biswas, Abhijat et al. · archived
992. Run-Of-Road Collision Avoidance Using IVHS · 1999 · NHTSA · archived
993. Simulated Car Crashes and Crash Predictors in Drivers With Alzheimer Disease ↗ · 1997 · Rizzo, M. et al. · indexed
994. Driver Distraction and Reliance: Adaptive Cruise Control in the Context of Sensor Reliability and Algorithm Limits · 2005 · Seppelt, Bobbie D et al. · archived
995. Advanced Driver Assistance System-Equipped Vehicle Datasets Collected in Central Ohio: Final Report · 2024 · Seitz, Timothy et al. · archived
996. A Survey of Situation Awareness Requirements in Air-to-Air Combat Fighters ↗ · 1993 · Endsley, Mica R. · indexed
997. Natural Language Instructions for Scene-Responsive Human-in-the-Loop Motion Planning in Autonomous Driving using Vision-Language-Action Models · 2026 · Martinez-Sanchez, Angel et al. · archived
998. Finding windows of opportunity: How drivers adapt to partial automation safeguards over time ↗ · 2025 · Mueller, Alexandra S. et al. · indexed
999. Psychophysics of Trust in Vehicle Control Algorithms ↗ · 2016 · Price, Morgan A. et al. · indexed
1000. A Multi-Agent Driving-Simulation Approach for Characterizing Hazardous Vehicle Interactions between Autonomous Vehicles and Manual Vehicles ↗ · 2024 · Jung, Aram et al. · indexed
1001. Quantitative Human Error Model and Analysis of Rational Driver · 2006 · Kumamoto, Hiromitsu et al. · archived
1002. Situation Awareness Problems in General Aviation ↗ · 2000 · Shook, Richard W. C. et al. · indexed
1003. Allusion 2: External Communication for SAE L4 Vehicles · 2023 · Rossi-Alvarez, Alexandria I et al. · archived
1004. Who Hacked My Car? Designing Autonomous Vehicles to Support Driver Response to Security Threats ↗ · 2023 · Lim, Cherin et al. · indexed
1005. Connected and Automated Vehicle (CAV) Testing Scenario Design and Implementation Using Naturalistic Driving Data and Augmented Reality · 2023 · Feng, Yiheng et al. · archived
1006. Measuring Traffic Awareness in an Integrated Hazard Display ↗ · 2004 · Alexander, Amy L. et al. · indexed
1007. Driving Simulation — Requirements, Mechanization and Application ↗ · 1980 · Allen, R. Wade et al. · indexed
1008. Modeling and adaptation of stochastic driver-behavior model with application to car following ↗ · 2011 · Angkititrakul, Pongtep et al. · indexed
1009. A Multi-Camera Deep Neural Network for Detecting Elevated Alertness in Drivers · 2018 · Gideon, John et al. · archived
1010. HCSM ↗ · 1995 · Cremer, James et al. · indexed
1011. Study of road safety from the position of driver information load ↗ · 2024 · Pugachev, I. N. et al. · indexed
1012. The Impact of Connected Vehicle Market Penetration and Connectivity Levels on Traffic Safety in Connected Vehicles Transition Period · 2018 · Abdel-Aty, Mohamed et al. · archived
1013. Do Drivers’ Estimates of Distraction Become Calibrated to Their Actual Distracted Driving Performance with Greater Exposure? ↗ · 2009 · Kidd, David G. et al. · indexed
1014. DReyeVR: Democratizing Virtual Reality Driving Simulation for Behavioural & Interaction Research · 2022 · Silvera, Gustavo et al. · archived
1015. Modeling Intradriver Steering Variability Based on Sensorimotor Control Theories ↗ · 2018 · Abbink, David A. · indexed
1016. Tunneled In ↗ · 2017 · Mok, Brian et al. · indexed
1017. Towards a vision-based system exploring 3D driver posture dynamics for driver assistance: Issues and possibilities ↗ · 2010 · Tran, Cuong et al. · indexed
1018. Thinking and Seeing: Visual Metacognition in Adults and Children, Daniel T.Levin, ed. The MIT Press, 2004. $35.00. ↗ · 2005 · Sedgwick, H. A. · indexed
1019. Foreseeable Misuse in Automated Driving Vehicles - The Human Factor in Fatal Accidents of Complex Automation ↗ · 2017 · Serter, Barbaros et al. · indexed
1020. Looking at Trust in Mediated Conditionally Automated Driving: Smooth vs. Close Driving Maneuvers and Initial Trust Groups ↗ · 2026 · Hollander, Cornelia et al. · indexed
1021. 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
1022. Integrity Management of the Reachable Space With Lane Grid Maps · 2023 · Sanchez, Corentin et al. · archived
1023. A Taxonomy for Autonomous Vehicles Considering Ambient Road Infrastructure ↗ · 2023 · Chen, Sikai et al. · indexed
1024. Automated driving · 2020 · Janssen, Christian P. et al. · archived
1025. Social behavior for autonomous vehicles · 2019 · Schwarting, Wilko et al. · archived
1026. A Generic Road Traffic Simulation Model ↗ · 2002 · Hadouaj, Sameh et al. · indexed
1027. Enhancing Vulnerable Road User Safety at Signalized Intersections Through Cooperative Perception and Driving Automation: Final Report · 2024 · Bayartsengel, Misheel et al. · archived
1028. Trust, cognitive control, and control ↗ · 2006 · Rajaonah, Bako et al. · indexed
1029. A framework for simulation of surrounding vehicles in driving simulators · 2008 · Olstam, Johan et al. · archived
1030. 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
1031. Development of universal driving simulator with interactive traffic environment ↗ · 2005 · SUDA, Yoshihiro et al. · indexed
1032. Look who's talking now: Implications of AV's explanations on driver's trust, AV preference, anxiety and mental workload · 2019 · Du, Na et al. · archived
1033. Look who's talking now: Implications of AV's explanations on driver's trust, AV preference, anxiety and mental workload · 2019 · Haspiel, Jacob · archived
1034. Highway safety performance metrics and emergency response in an advanced transportation environment : final report. · 2016 · Majka, Kevin · archived
1035. Sensing requirements for an automated vehicle for highway and rural environments ↗ · 2014 · Bussemaker, K.J. · indexed
1036. A Taxonomy for Quality in Simulation-Based Development and Testing of Automated Driving Systems · 2022 · Schutt, Barbara et al. · archived
1037. Artificial Intelligence Rationale for Autonomous Vehicle Agents Behaviour in Driving Simulation Environment · 2008 · Charissis, Vassilis et al. · archived
1038. Towards Bi‐Dimensional driver models for automated driving system safety requirements: Validation of a kinematic model for evasive lane‐change maneuvers ↗ · 2023 · Donà, Riccardo et al. · indexed
1039. Federal Highway Administration National Dialogue on Highway Automation: October 24-25, 2018 Operations Workshop Summary · 2019 · Kay, Michael et al. · archived
1040. Drivers can poorly predict their own driving impairment: a comparison between measurements of subjective and objective driving quality · 2011 · Verster, Joris C. et al. · archived
1041. Classification of Level 2 Driving Events Observed on Public Roads · 2021 · Rao, Sughosh J. et al. · archived
1042. A cross-methodological review on the safety effects of partial vehicle automation ↗ · 2026 · de Winkel, Ksander N et al. · indexed
1043. Vehicle Connectivity and Automation: A Sibling Relationship · 2020 · Ha, Paul et al. · archived
1044. EAR Program Research Results: Updated through 2016 · 2016 · NHTSA · archived
1045. Driving for Real or on a Fixed-Base Simulator: Is It so Different? An Explorative Study ↗ · 2015 · Milleville-Pennel, Isabelle et al. · indexed
1046. Development of Traffic Simulator using Universal Driver Model for Safety Evaluation of ADAS ↗ · 2009 · Furukawa, Yoshimi et al. · indexed
1047. Autonomous Vehicles and Virtual Reality · 2024 · Kemeny, Andras · archived
1048. Balancing Safety, Efficiency, and Sustainability: A Survey of Modeling Tools for Autonomous Vehicles Interactions ↗ · 2026 · Sarkandi, Golnoosh et al. · indexed
1049. Modeling Driver Decision Behavior of the Cut-In Process ↗ · 2023 · Lu, Yun et al. · indexed
1050. Is it Safe to Drive? An Overview of Factors, Metrics, and Datasets for Driveability Assessment in Autonomous Driving ↗ · 2019 · Guo, Junyao et al. · indexed
1051. Multi-Vehicle Simulation in Urban Automated Driving: Technical Implementation and Added Benefit · 2020 · Feierle, Alexander et al. · archived
1052. A collision mitigation strategy for intelligent vehicles to compensate for human factors affecting manually driven vehicles ↗ · 2017 · Patel, Raj Haresh et al. · indexed
1053. Comparison of safety and kinematic patterns of automated vehicles turning left in interaction with oncoming manually driven vehicles · 2021 · Junghans, Marek et al. · archived
1054. Towards fully autonomous driving: Systems and algorithms ↗ · 2011 · Levinson, Jesse et al. · indexed
1055. Optimal Control Based Modeling of Vehicle Driver Properties ↗ · 2005 · Butz, Torsten et al. · indexed
1056. Planning and Decision-Making for Autonomous Vehicles ↗ · 2018 · Schwarting, Wilko et al. · indexed
1057. Expertise and Situation Awareness ↗ · 2006 · Endsley, Mica R. · indexed
1058. Modeling Effects of Driver Control Assistance Systems on Traffic ↗ · 2001 · VanderWerf, Joel et al. · indexed
1059. Scenario Model Predictive Control for Lane Change Assistance and Autonomous Driving on Highways ↗ · 2017 · Cesari, Gianluca et al. · indexed
1060. Online Verification of Automated Road Vehicles Using Reachability Analysis · 2014 · Althoff, Matthias et al. · archived
1061. Causal Models to Support Scenario-Based Testing of ADAS · 2023 · Maier, Robert et al. · archived
1062. Situation Awareness Information Dominance & Information Warfare. · 1997 · Endsley, Mica R. et al. · archived
1063. Studying the Simultaneous Effect of Autonomous Vehicles and Distracted Driving on Safety at Unsignalized Intersections ↗ · 2021 · Khashayarfard, Mohammad et al. · indexed
1064. 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
1065. Out of Sight But Not Out of Mind: An Answer Set Programming Based Online Abduction Framework for Visual Sensemaking in Autonomous Driving · 2019 · Suchan, Jakob · archived
1066. PROUD—Public Road Urban Driverless-Car Test ↗ · 2015 · Broggi, Alberto et al. · indexed
1067. Road safety with self-driving vehicles: general limitations and road sharing with conventional vehicles ↗ · 2015 · Sivak, Michael et al. · indexed
1068. Traffic Models for Self-driving Connected Cars ↗ · 2016 · Góra, Paweł et al. · indexed
1069. Learning to Navigate Intersections with Unsupervised Driver Trait Inference · 2021 · Liu, Shuijing et al. · archived
1070. World model-based long-tail and scenario-specific generation for autonomous driving · 2026 · Zhang, Cong et al. · archived
1071. Social Interaction‐Aware Dynamical Models and Decision‐Making for Autonomous Vehicles ↗ · 2023 · Crosato, Luca et al. · indexed
1072. Making Bertha Drive—An Autonomous Journey on a Historic Route ↗ · 2014 · Ziegler, Julius et al. · indexed
1073. Solution Concepts in Hierarchical Games Under Bounded Rationality With Applications to Autonomous Driving · 2021 · Sarkar, Atrisha et al. · archived
1074. Situational Awareness in Complex Systems ↗ · 1994 · Gilson, Richard D. et al. · indexed
1075. Safer Than Perception: Increasing Resilience of Automated Vehicles Against Misperception · 2025 · Fränzle, Martin et al. · archived
1076. Intent Recognition Based on Gaussian Mixture and Lane Change Decision Control for Intelligent Vehicles ↗ · 2025 · Yuan, Huibin et al. · indexed
1077. I See What You See: Inferring Sensor and Policy Models of Human Real-World Motor Behavior · 2017 · Schmitt, Felix et al. · archived
1078. Risk-Controllable Multi-View Diffusion for Driving Scenario Generation · 2026 · Lin, Hongyi et al. · archived
1079. Supporting Planning and Situation Awareness in Army Command and Control ↗ · 2003 · Riley, Jennifer M. et al. · indexed
1080. The safety performance of connected vehicles on slippery horizontal curves through enhancing truck drivers’ situational awareness: A driving simulator experiment ↗ · 2021 · Bakhshi, Arash Khoda et al. · indexed
1081. Handling Occlusions in Automated Driving Using a Multiaccess Edge Computing Server-Based Environment Model From Infrastructure Sensors · 2021 · Buchholz, Michael et al. · archived
1082. ATIS and CVO Development Objectives and Performance Requirements · 1995 · McCallum, Marvin C. et al. · archived
1083. Team AnnieWAY's autonomous system for the 2007 DARPA Urban Challenge ↗ · 2008 · Kammel, Sören et al. · indexed
1084. Scenarios for Development, Test and Validation of Automated Vehicles · 2018 · Menzel, Till et al. · archived
1085. Maneuver-Based Trajectory Planning for Highly Autonomous Vehicles on Real Road With Traffic and Driver Interaction · 2010 · Glaser, Sébastien et al. · archived
1086. A behavior driven approach for sampling rare event situations for autonomous vehicles · 2019 · Sarkar, Atrisha et al. · archived
1087. The effects of conversation on working memory and situation awareness in simulated driving · 2018 · Heenan, Adam · archived
1088. Occlusion-Aware Risk Assessment for Autonomous Driving in Urban Environments · 2019 · Yu, Ming-Yuan et al. · archived
1089. Learning Accurate, Comfortable and Human-like Driving · 2019 · Hecker, Simon et al. · archived
1090. Uncertainties in Onboard Algorithms for Autonomous Vehicles: Challenges, Mitigation, and Perspectives ↗ · 2023 · Yang, Kai et al. · indexed
1091. RAIST: Learning Risk Aware Traffic Interactions via Spatio-Temporal Graph Convolutional Networks · 2023 · Suman, Videsh et al. · archived
1092. MOBATSim: MOdel-Based Autonomous Traffic Simulation Framework for Fault-Error-Failure Chain Analysis ↗ · 2019 · Saraoglu, Mustafa et al. · indexed
1093. Automated Vehicles and Adverse Weather – Phase 3 [flyer] · 2023 · NHTSA · archived
1094. Generation of Multiple Types of Driving Scenarios with Variational Autoencoders for Autonomous Driving ↗ · 2025 · Mammen, Manasa Mariam et al. · indexed
1095. Merge recommendations for driver assistance: A cross-modal, cost-sensitive approach ↗ · 2013 · Sivaraman, Sayanan et al. · indexed
1096. Workload and Reliability of Predictor Displays in Aircraft Traffic Avoidance ↗ · 2000 · Wickens, C. D. · indexed
1097. A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles · 2016 · Paden, B. et al. · archived
1098. Modeling Human Driver Behaviors When Following Autonomous Vehicles: An Inverse Reinforcement Learning Approach · 2022 · Wen, Xiao et al. · archived
1099. Tackling Occlusions & Limited Sensor Range with Set-based Safety Verification · 2018 · Orzechowski, Piotr F. et al. · archived
1100. Navigation Control in an Urban Autonomous Ground Vehicle ↗ · 2011 · Surampudi, Bapiraju et al. · indexed
1101. Learning Active Inference MODELs of Perception and Control: Application to Car Following Task · 2023 · Garcia, Alfredo · archived
1102. 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
1103. An EEG dataset for understanding driving expertise from naturalistic urban road experiments. · 2026 · Gong J et al. · archived
1104. Multi-Level Bayesian Decision-Making for Safe and Flexible Autonomous Navigation in Highway Environment ↗ · 2018 · Iberraken, Dimia et al. · indexed
1105. Calibration of Microsimulation Models for Advance Warning Systems ↗ · 2013 · Appiah, Justice et al. · indexed
1106. Generic and complete vehicle dynamic models for open-source platforms ↗ · 2017 · Patil, Vadiraj · indexed
1107. Cooperative perception for autonomous vehicle control on the road: Motivation and experimental results ↗ · 2013 · Kim, Seong-Woo et al. · indexed
1108. Comparison of Markov Chain Abstraction and Monte Carlo Simulation for the Safety Assessment of Autonomous Cars · 2011 · Althoff, Matthias et al. · archived
1109. Stochastic situation assessment in advanced driver assistance system for complex multi-objects traffic situations ↗ · 2012 · Berthelot, Adam et al. · indexed
1110. Experimental Validation of Safe MPC for Autonomous Driving in Uncertain Environments · 2023 · Batkovic, Ivo et al. · archived
1111. 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
1112. Reinforcement Learning · 2024 · Redmill, Keith et al. · archived
1113. Discussion of “some statistical challenges in automated driving systems” ↗ · 2023 · Guo, Feng · indexed
1114. Safe Imitation Learning on Real-Life Highway Data for Human-like Autonomous Driving · 2021 · Acerbo, Flavia Sofia et al. · archived
1115. Introduction to the Special Issue on “New Trends towards Automatic Vehicle Control and Perception Systems” · 2013 · Milanés, Vicente et al. · archived
1116. Occlusion-Aware Game-Theoretic Multi-Agent Planning for Connected Vehicles ↗ · 2025 · Li, Jiahong et al. · indexed
1117. Smooth Behavioral Estimation For Ramp Merging Control In Autonomous Driving ↗ · 2018 · Dong, Chiyu et al. · indexed
1118. Estimation and prediction of vehicle dynamics states based on fusion of OpenStreetMap and vehicle dynamics models · 2016 · Jiang, Kun et al. · archived
1119. A meso-simulation approach for the estimation of traffic flows in presence of automated vehicles ↗ · 2020 · Crisalli, Umberto et al. · indexed
1120. Modeling of Complex Traffic Interaction Under Uncontrolled Intersection Scenario ↗ · 2024 · Li, Jiangkun et al. · indexed
1121. Commonsense visual sensemaking for autonomous driving – On generalised neurosymbolic online abduction integrating vision and semantics ↗ · 2021 · Suchan, Jakob · indexed
1122. Manoeuvre-based trajectory planning for highly autonomous vehicles on real road with traffic ↗ · 2009 · Vanholme, Benoit et al. · indexed
1123. Spatial Sampling and Integrity in Lane Grid Maps · 2021 · Sanchez, Corentin et al. · archived
1124. Trajectory Planning of Automated Vehicles Using Real-Time Map Updates · 2023 · Szántó, Mátyás et al. · archived
1125. 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
1126. Development Methodologies for Safety Critical Machine Learning Applications in the Automotive Domain: A Survey ↗ · 2021 · Rabe, Martin et al. · indexed
1127. Impact of localization errors on automated vehicle control strategies ↗ · 2017 · Patel, Raj Haresh et al. · indexed
1128. The Effects of Shared Information on Pilot-Controller Situation Awareness And Re-Route Negotiation · 1999 · Farley, Todd et al. · archived
1129. Receding horizon maneuver generation for automated highway driving · 2015 · Nilsson, Julia et al. · archived
1130. Odin: Team VictorTango's entry in the DARPA Urban Challenge ↗ · 2008 · Bacha, Andrew et al. · indexed
1131. A survey of deep learning techniques for autonomous driving · 2019 · Grigorescu, Sorin et al. · archived
1132. A behavioral planning framework for autonomous driving ↗ · 2014 · Wei, Junqing et al. · indexed
1133. Scalable Decision Making with Sensor Occlusions for Autonomous Driving ↗ · 2018 · Bouton, Maxime et al. · indexed
1134. Interactive ramp merging planning in autonomous driving: Multi-merging leading PGM (MML-PGM) ↗ · 2017 · Dong, Chiyu et al. · indexed
1135. Towards Robust Decision-Making for Autonomous Driving on Highway ↗ · 2023 · Yang, Kai et al. · indexed
1136. Uncertainty-Aware Model-Based Offline Reinforcement Learning for Automated Driving ↗ · 2023 · Diehl, Christopher et al. · indexed
1137. Deep Reinforcement Learning Based High-level Driving Behavior Decision-making Model in Heterogeneous Traffic · 2019 · Bai, Zhengwei et al. · archived
1138. Traffic light mapping, localization, and state detection for autonomous vehicles ↗ · 2011 · Levinson, Jesse et al. · indexed
1139. Toward Human-like Behavior Generation in Urban Environment Based on Markov Decision Process With Hybrid Potential Maps ↗ · 2018 · Guo, Chunzhao et al. · indexed
1140. Collective Perception Virtual Safety Validation in Urban Environments: Scenarios, Tools, Metrics · 2026 · Bolovinou, Anastasia et al. · archived
1141. Distributed Real-Time Traffic Simulation for Autonomous Vehicle Testing in Urban Environments ↗ · 2018 · Sippl, Christoph et al. · indexed
1142. Autonomous Vehicle Guidance on Braunschweig's inner ring road within the Stadtpilot Project ↗ · 2011 · Saust, Falko et al. · indexed
1143. A collision avoidance system at intersections using Robust Model Predictive Control ↗ · 2016 · Schildbach, Georg et al. · indexed
1144. Autonomous car following: A learning-based approach ↗ · 2015 · Lefèvre, Stéphanie et al. · indexed
1145. One solution of decision making algorithm for semi-autonomous driving ↗ · 2017 · Peles, Nenad et al. · indexed
1146. A Safety Analysis Method for Perceptual Components in Automated Driving ↗ · 2019 · Salay, Rick et al. · indexed
1147. Making Bertha See ↗ · 2013 · Franke, Uwe et al. · indexed
1148. Optimal trajectory generation for dynamic street scenarios in a Frenét Frame ↗ · 2010 · Werling, Moritz et al. · indexed
1149. Vehicle and object models for robust tracking in traffic scenes using laser range images ↗ · 2003 · Streller, D. et al. · indexed
1150. Intention estimation for ramp merging control in autonomous driving ↗ · 2017 · Dong, Chiyu et al. · indexed
1151. Object-Level Fusion for Surround Environment Perception in Automated Driving Applications ↗ · 2017 · Aeberhard, Michael · indexed
1152. Optimal trajectories for time-critical street scenarios using discretized terminal manifolds ↗ · 2011 · Werling, Moritz et al. · indexed
1153. Up to the limits: Autonomous Audi TTS ↗ · 2012 · Funke, Joseph et al. · indexed
1154. Object scene flow for autonomous vehicles · 2015 · Menze, Moritz et al. · archived
1155. Autonomous Driving - 5 Years after the Urban Challenge: The Anticipatory Vehicle as a Cyber-Physical System · 2014 · Berger, Christian et al. · archived
1156. Enabling Safe Autonomous Driving in Real-World City Traffic Using Multiple Criteria Decision Making · 2011 · Furda, Andrei et al. · archived
1157. Optimal Road Traffic Operations for an Increasingly Autonomous and Connected Vehicle Fleet · 2017 · Osorio, Carolina · archived
1158. Adding a motor control component to the operator function model expert system to investigate air traffic management concepts using simulation · 2005 · Goknur, Sinan et al. · archived
1159. Analysis and Modeled Design of One State-Driven Autonomous Passing-Through Algorithm for Driverless Vehicles at Intersections ↗ · 2013 · Zhang, Kailong et al. · indexed
1160. Tactical driving decisions of unmanned ground vehicles in complex highway environments: A deep reinforcement learning approach ↗ · 2020 · Wang, Huanjie et al. · indexed
1161. Interaction-Aware Motion Planning for Autonomous Vehicles With Multi-Modal Obstacle Uncertainty Predictions · 2024 · Zhou, Jian et al. · archived
1162. Higher Accuracy and Lower Computational Perception Environment Based Upon a Real-time Dynamic Region of Interest ↗ · 2022 · Brown, Nicolas Eric et al. · indexed
1163. Trajectory Planning for Autonomous High-Speed Overtaking in Structured Environments Using Robust MPC ↗ · 2019 · Dixit, Shilp et al. · indexed
1164. SMc2f: Robust Scenario Mining for Robotic Autonomy from Coarse to Fine · 2026 · Chen, Yifei et al. · archived
1165. Analysis of Driving Crisis for Obstacles Avoidance and Dynamic Stability Maintenance Using Fuzzy Logic ↗ · 2009 · Davoudi, Mohsen et al. · indexed
1166. Active Safety: Decision-Making Using Potential Fields for Path-Following in Autonomous Driving ↗ · 2026 · Weihmayr, Daniel et al. · indexed
1167. 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
1168. A Learning-Based Framework for Velocity Control in Autonomous Driving ↗ · 2016 · Lefevre, Stephanie et al. · indexed
1169. Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning · 2024 · Sachdeva, Enna et al. · archived
1170. Hybrid Systems Modeling and Reachability-Based Controller Design Methods for Vehicular Automation ↗ · 2014 · Park, Jaeyong et al. · indexed
1171. 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
1172. Toward fully autonomous vehicle navigation: From behavioral to hybrid multi-controller architectures · 2017 · Adouane, Lounis · archived
1173. Path planning for autonomous vehicles using model predictive control ↗ · 2017 · Liu, Chang et al. · indexed
1174. 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
1175. Automobility—A Social Problem and Theoretical Concept ↗ · 2001 · Beckmann, Jörg · indexed
1176. InVDriver: Intra-instance aware vectorized query-based autonomous driving transformer · 2025 · Zhang, Bo et al. · archived
1177. Path planning and integrated collision avoidance for autonomous vehicles ↗ · 2017 · Berntorp, Karl · indexed
1178. Calibration Framework for Simulation Tools to Manage Uncertain Future Conditions ↗ · 2020 · Hosseini, Moein et al. · indexed
1179. Vehicle dynamic state estimation: state of the art schemes and perspectives ↗ · 2018 · Guo, Hongyan et al. · indexed
1180. Intelligence Testing for Autonomous Vehicles: A New Approach ↗ · 2016 · Li, Li et al. · indexed
1181. Planning Long Dynamically Feasible Maneuvers for Autonomous Vehicles · 2009 · Likhachev, Maxim et al. · archived
1182. Vehicle detection and tracking for visual understanding of road environments ↗ · 2009 · de la Escalera, Arturo et al. · indexed
1183. A Proactive Collision Avoidance Model for Connected and Autonomous Vehicles in Mixed Traffic Flow ↗ · 2025 · Hu, Guojing et al. · indexed
1184. 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
1185. Sensitivity Analysis of Car-following Models: Methodology and Application ↗ · 2011 · Punzo, Vincenzo et al. · indexed
1186. The security and privacy of smart vehicles · 2004 · Hubaux, J.P. et al. · archived
1187. A path planner for autonomous driving on highways using a human mimicry approach with Binary Decision Diagrams ↗ · 2015 · Claussmann, Laurene et al. · indexed
1188. Metadata in the description of road scenarios for testing autonomous vehicles ↗ · 2025 · Rodak, Aleksandra · indexed
1189. A review on reinforcement learning-based highway autonomous vehicle control ↗ · 2024 · Irshayyid, Ali et al. · indexed
1190. Policy-Gradient and Actor-Critic Based State Representation Learning for Safe Driving of Autonomous Vehicles ↗ · 2022 · Gupta, Abhishekh et al. · indexed
1191. Distributed Cooperative MPC for Autonomous Driving in Different Traffic Scenarios · 2020 · Mohseni, Fatemeh et al. · archived
1192. Optimal Trajectory Planning Algorithm for Connected and Autonomous Vehicles towards Uncertainty of Actuated Traffic Signals · 2023 · Shafik, Amr et al. · archived
1193. Decision making for autonomous vehicles: Combining safety and optimality ↗ · 2020 · Verbakel, J.J. et al. · indexed
1194. Multi-Frame Grid Perspective for Traffic Video Captioning and Context-Aware VQA ↗ · 2026 · Prajapati, Sanjita et al. · indexed
1195. Modelling fuel consumption and refuelling of autonomous vehicles · 2018 · Zöldy, Máté et al. · archived
1196. Adaptive Game-Theoretic Decision Making for Autonomous Vehicle Control at Roundabouts · 2018 · Tian, Ran et al. · archived
1197. 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
1198. Incorporating ESO into Deep Koopman Operator Modeling for Control of Autonomous Vehicles ↗ · 2024 · Chen, Hao et al. · indexed
1199. Navigating Occluded Intersections with Autonomous Vehicles Using Deep Reinforcement Learning · 2018 · Isele, David et al. · archived
1200. Coordinating Tire Forces to Avoid Obstacles Using Nonlinear Model Predictive Control ↗ · 2019 · Brown, Matthew et al. · indexed
1201. Interactive Simulation Program for Autonomous Vehicles · 2021 · POZNA, Claudiu Radu et al. · archived
1202. Why Ethics Matters for Autonomous Cars · 2016 · Lin, Patrick · archived
1203. Requirements and Design for Better Cultural Situation Awareness: Delivering the Right Information ↗ · 2012 · Onal, Emrah et al. · indexed
1204. Shared Information Between Pilots and Controllers in Tactical Air Traffic Control ↗ · 2000 · Farley, Todd et al. · indexed
1205. Motion planning for autonomous driving with a conformal spatiotemporal lattice ↗ · 2011 · McNaughton, Matthew et al. · indexed
1206. Data Fusion ↗ · 2014 · Leonhardt, Axel et al. · indexed
1207. Evaluating Multimodal Vision-Language Model Prompting Strategies for Visual Question Answering in Road Scene Understanding · 2025 · Keskar, Aryan et al. · archived
1208. Policy-Gradient and Actor-Critic Based State Representation Learning for Safe Driving of Autonomous Vehicles ↗ · 2020 · Gupta, Abhishek et al. · indexed
1209. Robust Intensity-Based Localization Method for Autonomous Driving on Snow–Wet Road Surface · 2017 · Aldibaja, Mohammad et al. · archived
1210. Safe and Computational Efficient Imitation Learning for Autonomous Vehicle Driving · 2020 · Acerbo, Flavia Sofia et al. · archived
1211. <title>Robust car tracking using Kalman filtering and Bayesian templates</title> ↗ · 1998 · Dellaert, Frank et al. · indexed
1212. Spatially Formulated Connected Automated Vehicle Trajectory Optimization with Infrastructure Assistance ↗ · 2022 · Yi, Ran et al. · indexed
1213. Hierarchical Trajectory Planning of an Autonomous Car Based on the Integration of a Sampling and an Optimization Method ↗ · 2018 · Lim, Wonteak et al. · indexed
1214. Matching and decision for vehicle tracking in road situation ↗ · 2003 · Gruyer, D. et al. · indexed
1215. ADAS-RL: Safety learning approach for stable autonomous driving ↗ · 2022 · Lee, Dongsu et al. · indexed
1216. A Cooperative Optimal Control Framework for Connected and Automated Vehicles in Mixed Traffic Using Social Value Orientation · 2022 · Le, Viet-Anh et al. · archived
1217. Collision avoidance maneuver for an autonomous vehicle ↗ · 2006 · Durali, Mohammad et al. · indexed
1218. Variational Autoencoder for End-to-End Control of Autonomous Driving with Novelty Detection and Training De-biasing · 2018 · Amini, Alexander et al. · archived
1219. A Potential Field-Based Model Predictive Path-Planning Controller for Autonomous Road Vehicles · 2016 · Rasekhipour, Yadollah et al. · archived
1220. Adaptive and Reliable Multi-Risk Assessment and Management Control Strategy for Autonomous Navigation in Dense Roundabouts ↗ · 2023 · Bellingard, Kévin et al. · indexed
1221. Investigation of collision estimation with vehicle and pedestrian using CARLA simulation software · 2024 · Beg, Mohammad Sojon et al. · archived
1222. 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
1223. Hierarchical Reinforcement Learning for Dynamic Autonomous Vehicle Navigation at Intelligent Intersections · 2023 · Qian, Sun et al. · archived
1224. Automatic Intersection Management in Mixed Traffic Using Reinforcement Learning and Graph Neural Networks · 2023 · Klimke, Marvin et al. · archived
1225. 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
1226. A complete fault diagnostic system for automated vehicles operating in a platoon ↗ · 2001 · Rajamani, Rajesh et al. · indexed
1227. Better and safer autonomous driving with predicted object relevance ↗ · 2024 · Ceccarelli, Andrea et al. · indexed
1228. Integration of Reinforcement Learning Based Behavior Planning With Sampling Based Motion Planning for Automated Driving · 2023 · Klimke, Marvin et al. · archived
1229. Autonomous On-ramp Merge Strategy Using Deep Reinforcement Learning in Uncertain Highway Environment · 2022 · Wu, Sifan et al. · archived
1230. Local trajectory planning and control for autonomous vehicles using the adaptive potential field ↗ · 2017 · Kim, Dongchan et al. · indexed
1231. Applications for Semantic 3D Streetspace Models and Their Requirements—A Review and Look at the Road Ahead ↗ · 2024 · Beil, Christof et al. · indexed
1232. Systematic Error Correction of SUMO Traffic Simulator's HBEFA Vehicle Emission Model ↗ · 2024 · Varga, Balázs et al. · indexed
1233. CLIP-BEV: A Late-Fusion Framework for Multimodal Scene Understanding Using Vision Language Models ↗ · 2026 · Daraee, Fatemeh et al. · indexed
1234. Event-Driven Decision-Making for Autonomous Vehicles in Mixed-Traffic Roundabouts ↗ · 2026 · Leyer, Daniel et al. · indexed
1235. Autonomous Driving in Roundabout Maneuvers Using Reinforcement Learning with Q-Learning · 2019 · Cuenca, Laura García et al. · archived
1236. Tracking of vehicle trajectory by combining a camera and a laser rangefinder · 2009 · Goyat, Y. et al. · archived
1237. Vision meets robotics: The KITTI dataset ↗ · 2013 · Geiger, Andreas et al. · indexed
1238. Ego-motion and Surrounding Vehicle State Estimation Using a Monocular Camera · 2019 · Hayakawa, Jun et al. · archived
1239. Development of Comprehensive Modal Emissions Model: Operating Under Hot-Stabilized Conditions ↗ · 1997 · An, Feng et al. · indexed
1240. TriQuery-BEV: Enhancing 3D Perception for Autonomous Driving with Temporal Query Filtering and Uncertainty-Aware Fusion. ↗ · 2026 · Dong, J et al. · indexed
1241. Map-Based Precision Vehicle Localization in Urban Environments ↗ · 2008 · Levinson, Jesse et al. · indexed
1242. Offline Calibration of Dynamic Traffic Assignment ↗ · 2007 · Balakrishna, Ramachandran et al. · indexed
1243. Efficient and Interaction-Aware Trajectory Planning for Autonomous Vehicles with Particle Swarm Optimization · 2024 · Song, Lin et al. · archived
1244. Smart multi-agent traffic coordinator for autonomous vehicles at intersections ↗ · 2017 · Lamouik, Imad et al. · indexed
1245. Path Planning and Tracking for Vehicle Collision Avoidance Based on Model Predictive Control With Multiconstraints ↗ · 2016 · Ji, Jie et al. · indexed
1246. Path Planning for Autonomous Vehicles in Unknown Semi-structured Environments ↗ · 2010 · Dolgov, Dmitri et al. · indexed
1247. A hybrid vehicle model for advanced cruise control ↗ · 2004 · Qunzhi Zhou et al. · indexed
1248. Deep Learning-based Image 3D Object Detection for Autonomous Driving: Review ↗ · 2022 · Alaba, Simegnew Yihunie et al. · indexed
1249. Intelligent Adaptive Decision-Making for Autonomous Vehicles: A Learning-Enhanced Game-Theoretic Approach in Interactive Scenarios · 2023 · Huang, Heye et al. · archived
1250. Decentralized model predictive control for smooth coordination of automated vehicles at intersection · 2015 · Qian, Xiangjun et al. · archived
1251. Improving safety in mixed traffic: A learning-based model predictive control for autonomous and human-driven vehicle platooning ↗ · 2024 · Wang, J. et al. · indexed
1252. Risk-Aware Reinforcement Learning for Non-Conservative Motion Planning in Uncertain Autonomous Driving Environments ↗ · 2025 · Hu, Chuan et al. · indexed
1253. Improving safety in mixed traffic: A learning-based model predictive control for autonomous and human-driven vehicle platooning · 2022 · Wang, J. et al. · archived
1254. 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
1255. Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization ↗ · 2013 · Brubaker, Marcus A. et al. · indexed
1256. Multi-Target Tracking using a 3D-Lidar sensor for autonomous vehicles ↗ · 2013 · Choi, Jaebum et al. · indexed
1257. Machine Learning Techniques for Undertaking Roundabouts in Autonomous Driving ↗ · 2019 · Cuenca, Laura García et al. · indexed
1258. Precision tracking with sparse 3D and dense color 2D data ↗ · 2013 · Held, David et al. · indexed
1259. Motion Estimation Using Region-Level Segmentation and Extended Kalman Filter for Autonomous Driving ↗ · 2021 · Wei, Hongjian et al. · indexed
1260. Understanding the Domain Gap in LiDAR Object Detection Networks · 2022 · Richter, Jasmine et al. · archived
1261. Intersection decision model based on state adversarial deep reinforcement learning ↗ · 2025 · Jiang, Anni et al. · indexed
1262. Explainable Deep Adversarial Reinforcement Learning Approach for Robust Autonomous Driving ↗ · 2025 · Wang, Chuyao et al. · indexed
1263. Twin Scenarios Establishment for Autonomous Vehicle Digital Twin Empowered SOTIF Assessment ↗ · 2023 · Hou, Zhonglin et al. · indexed
1264. Efficient algorithms for collision avoidance at intersections · 2012 · Colombo, Alessandro et al. · archived
1265. 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
1266. A Reconfigurable Framework for Vehicle Localization in Urban Areas · 2022 · Viana, Kerman et al. · archived
1267. Traffic State Lane-Level Estimation Based on Transformer and Vehicle Trajectory Data. ↗ · 2026 · Bai W et al. · indexed
1268. Specification-Guided Data Aggregation for Semantically Aware Imitation Learning · 2023 · Shah, Ameesh et al. · archived
1269. System Analysis Using Multiple Expert Tools ↗ · 2011 · Ram V.Gopal et al. · indexed
1270. Enforcing safety of cyberphysical systems using flatness and abstraction ↗ · 2011 · Colombo, Alessandro et al. · indexed
1271. Deep Learning Based Motion Planning For Autonomous Vehicle Using Spatiotemporal LSTM Network · 2018 · Bai, Zhengwei et al. · archived
1272. Spatio-temporal heuristic method: a trajectory planning for automatic parking considering obstacle behavior ↗ · 2022 · Gan, Nianfei et al. · indexed
1273. A deep learning based stereo matching model for autonomous vehicle · 2023 · Deepa, Deepa et al. · archived
1274. Accurate Global Localization Using Visual Odometry and Digital Maps on Urban Environments ↗ · 2012 · Parra, I. et al. · indexed
1275. Chance-Constrained Optimal Path Planning With Obstacles · 2011 · Blackmore, Lars et al. · archived
1276. HiLO: High-Level Object Fusion for Autonomous Driving Using Transformers ↗ · 2025 · Osterburg, Timo et al. · indexed
1277. Dynamic Cell Modeling for Accurate SOC Estimation in Autonomous Electric Vehicles · 2023 · Ajao, Qasim et al. · archived
1278. Machine Learning-Driven Calibration of Traffic Models based on a Real-time Video Analysis ↗ · 2024 · Lopukhova, Ekaterina et al. · indexed
1279. The Comparison of Two Kinematic Motion Models for Autonomous Shipping Maneuvers ↗ · 2022 · Wang, Yufei et al. · indexed
1280. A comprehensive view of intelligent transport systems for urban smart mobility · 2016 · Mangiaracina, Riccardo et al. · archived
1281. State-of-Health Estimation for Li-Ion Batteries of Real-World Electric Vehicles: Progress, Challenges, and Prospects ↗ · 2026 · Zhu, Ren et al. · indexed
1282. Event-triggering $${H}_{\infty }$$-based observer combined with NN for simultaneous estimation of vehicle sideslip and roll angles with network-induced delays · 2021 · Boada, Maria Jesus L. et al. · archived
1283. Dynamic traffic assignment: A review of the methodological advances for environmentally sustainable road transportation applications ↗ · 2018 · Wang, Yi et al. · indexed
1284. LPMP: A Bio-Inspired Model for Visual Localization in Challenging Environments ↗ · 2022 · Colomer, Sylvain et al. · indexed
1285. Hybrid PDA/FIR Filtering for Preceding Vehicle Tracking Using Automotive Radars ↗ · 2021 · Pak, Jung Min · indexed
1286. On Vehicle Path Generation Method for Collision Avoidance using Mixed Integer Programming ↗ · 2007 · Mukai, Masakazu et al. · indexed
1287. Knowledge Transfer via Dynamic Policy Fusion Between Autonomous Driving Agents · 2025 · Maad, Fatima-Ezzahra et al. · archived
1288. Automotive engine diagnosis and control via nonlinear estimation ↗ · 1998 · Kim, Yong-Wha et al. · indexed
1289. Machine Learning-Driven Calibration of Traffic Models Based on a Real-Time Video Analysis ↗ · 2024 · Lopukhova, Ekaterina A. et al. · indexed
1290. SuperiorGAT: Graph Attention Networks for SparseLiDAR Point Cloud Reconstruction in AutonomousSystems · 2026 · Awedat, Khalfalla et al. · archived
1291. Comparison of Different Models for Electric Vehicle with Heating System ↗ · 2017 · Desreveaux, Anatole et al. · indexed