anticipation

Anticipation: predictive, forward-looking driving in which the driver uses current scene cues to forecast how the situation will unfold — where vehicles and vulnerable road users will move, what is likely to emerge, and what action will be needed next. The PREDICTION of not-yet-present events, distinct from hazard_perception (detecting a hazard that is already developing), mental_model_of_traffic (the stored expectations anticipation is built on rather than the live forecast), and gap_acceptance (a single timing decision rather than ongoing scene projection).

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

1. Multi-vehicle anticipation-based driver behavior models: a synthesis of existing research and future research directions ↗ · 2024 · Nirmale, Sangram et al. · indexed
2. Situated and sequential planning and prediction of human driving behavior as decision making support system · 2024 · Bejaoui, Abderahman et al. · archived
3. 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
4. Tactical driver behavior prediction and intent inference: A review ↗ · 2011 · Doshi, Anup et al. · indexed
5. The Effect of Driving Automation on Drivers' Anticipatory Glances · 2021 · He, Dengbo et al. · archived
6. The Influence of Visual-Manual Distractions on Anticipatory Driving · 2022 · He, Dengbo et al. · archived
7. Exploring hazard anticipation and stress while driving in light of defensive behavior theory · 2023 · Kerautret, Laora et al. · archived
8. The Effects of Distraction on Anticipatory Driving · 2018 · He, Dengbo et al. · archived
9. 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
10. Anticipatory Driving in Automated Vehicles: The Effects of Driving Experience and Distraction · 2023 · He, Dengbo et al. · archived
11. Great expectations: a predictive processing account of automobile driving · 2017 · Engström, Johan et al. · archived
12. In-vehicle displays to support driver anticipation of traffic conflicts in automated vehicles · 2021 · He, Dengbo et al. · archived
13. Effects of Cognitive Load and Anticipation on Driver Responses to a Critical Traffic Event ↗ · 2018 · Engström, Johan et al. · indexed
14. Improving Driver Situation Awareness Prediction using Human Visual Sensory and Memory Mechanism · 2021 · Zhu, Haibei et al. · archived
15. Modelling level 1 situation awareness in driving: A cognitive architecture approach · 2024 · Rehman, Umair et al. · archived
16. Modeling Drivers' Risk Perception via Attention to Improve Driving Assistance · 2024 · Biswas, Abhijat et al. · archived
17. Predicting driver behaviour at intersections based on driver gaze and traffic light recognition ↗ · 2020 · Rahman, Md. Junaedur et al. · indexed
18. Extended Evaluation of Training Programs To Accelerate Hazard Anticipation Skills in Novice Teens Drivers · 2021 · Plumert, Jodie M. et al. · archived
19. Modeling and Prediction of Human Driver Behavior: A Survey. · 2020 · Brown, Kyle et al. · archived
20. The “field of safe travel” revisited: interpreting driving behaviour performance through a holistic approach ↗ · 2017 · Papakostopoulos, Vassilis et al. · indexed
21. Factors That Affect Drivers’ Perception of Closing and an Immediate Hazard · 2023 · Weaver, Bradley W. et al. · archived
22. Processing of complex traffic scenes for effective steering and collision avoidance: a perspective, from research on locomotion · 2024 · Wann, John P. · archived
23. CH-LSTTM: A Taxonomy of Traffic Hazards · 2024 · Yan, Song et al. · archived
24. Can Young Drivers Learn to Anticipate Hidden Hazards: A Driving Simulator Study · 2013 · Samuel, Siby et al. · archived
25. The effect of motion and signalling on drivers’ ability to predict intentions of other road users · 2016 · Lee, Yee Mun et al. · archived
26. Evaluation of the Effectiveness of a Gaze-Based Training Intervention on Latent Hazard Anticipation Skills for Young Drivers: A Driving Simulator Study · 2018 · Yamani, Yusuke et al. · archived
27. Driver’s Anticipation and Memory Driving Car-Following Model ↗ · 2020 · Jafaripournimchahi, Ammar et al. · indexed
28. Environmental Cues Involved in the Visual Anticipation of a Collision ↗ · 2000 · Catherine, Berthelon et al. · indexed
29. A brief pc-based hazard prediction training program improves young novice drivers' hazard perception skills ↗ · 2024 · Kint, Sander Thomas van der et al. · indexed
30. Interaction-Aware Probabilistic Behavior Prediction in Urban Environments ↗ · 2018 · Schulz, Jens · indexed
31. ROAD ENVIRONMENT AND VISUAL ANTICIPATION OF A COLLISION DURING SELF-MOTION ↗ · 1999 · Berthelon, Catherine et al. · indexed
32. A cognitive process approach to modeling gap acceptance in overtaking · 2023 · Mohammad, Samir H.A. et al. · archived
33. A brief pc-based hazard prediction training program improves young novice drivers hazard perception skills ↗ · 2024 · Kint, Sander Thomas van der et al. · indexed
34. Vehicle Control During Curve Driving ↗ · 1986 · Godthelp, Hans · indexed
35. Aware of Scene Vehicles—Probabilistic Modeling of Car-Following Behaviors in Real-World Traffic ↗ · 2019 · Xu, Donghao et al. · indexed
36. Toward a Theory of Visual Information Acquisition in Driving ↗ · 2022 · Wolfe, Benjamin et al. · indexed
37. Attentional Control in Young Drivers: Does Training Impact Hazard Anticipation in Dynamic Environments? ↗ · 2020 · Yahoodik, Sarah et al. · indexed
38. Modeling Effects of Forward Glance Durations on Latent Hazard Detection ↗ · 2017 · Park, Hyoshin et al. · indexed
39. Driver Models for Both Human and Autonomous Vehicles · 2018 · Kurt, Arda et al. · archived
40. What Can Be Predicted from Six Seconds of Driver Glances? · 2017 · Fridman, Lex et al. · archived
41. New Measure of Inattentiveness to Forward Roadway ↗ · 2012 · Pollatsek, Alexander et al. · indexed
42. A survey on motion prediction and risk assessment for intelligent vehicles · 2014 · Lefèvre, Stéphanie et al. · archived
43. Should I Stay or Should I Go? Cognitive Modeling of Left-Turn Gap Acceptance Decisions in Human Drivers · 2022 · Zgonnikov, Arkady et al. · archived
44. Driver expectancy in highway design and traffic operations · 1986 · Alexander, Gerson J. et al. · archived
45. Modeling Drivers' Situational Awareness from Eye Gaze for Driving Assistance · 2024 · Biswas, Abhijat et al. · archived
46. Hazard Anticipation of Novice and Experienced Drivers ↗ · 2007 · Garay-Vega, Lisandra et al. · indexed
47. Situation understanding and risk assessment framework for preventive driver assistance ↗ · 2026 · Armand, Alexandre · indexed
48. Probabilistic vehicle trajectory prediction via driver characteristic and intention estimation model under uncertainty ↗ · 2020 · Liu, Jinxin et al. · indexed
49. Probabilistic trajectory prediction with Gaussian mixture models ↗ · 2012 · Wiest, Jurgen et al. · indexed
50. Communicating intent on the road through human-inspired control schemes · 2016 · Driggs-Campbell, Katherine et al. · archived
51. Probabilistic Long-term Vehicle Trajectory Prediction via Driver Awareness Model ↗ · 2020 · Liu, Jinxin et al. · indexed
52. Framework of Adaptive Driving: Linking Situation Awareness, Driving Goals, and Driving Intentions Using Eye-Tracking and Vehicle Kinetic Data ↗ · 2025 · Lai, Hsueh-Yi · indexed
53. A Predictive Model of a Driver’s Target Trajectory Based on Estimated Driving Behaviors ↗ · 2023 · Yan, Zhanhong et al. · indexed
54. Identifying Driver Interactions via Conditional Behavior Prediction · 2021 · Tolstaya, Ekaterina et al. · archived
55. Dynamic Real-Time Prediction of Drivers’ Risk Perception Using Deep Learning and Driving Simulator Data ↗ · 2026 · Masud, Saumik Sakib Bin et al. · indexed
56. Driver’s Mental Model of Vehicle Automation ↗ · 2020 · Seppelt, Bobbie et al. · indexed
57. Towards Driver Behavior Understanding: Weakly-Supervised Risk Perception in Driving Scenes · 2026 · Agarwal, Nakul et al. · archived
58. The effect of cognitive tasks on predicting eventis in traffic ↗ · 2008 · Baumann, Michael R. et al. · indexed
59. Modeling Driver Behavior as Sequential Risk-Taking Task ↗ · 2008 · Hamdar, Samer H. et al. · indexed
60. Situation Awareness in Driving ↗ · 2020 · Endsley, Mica · indexed
61. Predictive ADAS: A predictive trajectory guidance scheme for advanced driver assistance in public traffic ↗ · 2015 · Weiskircher, Thomas et al. · indexed
62. RiskNet: interaction-aware risk forecasting for autonomous driving in long-tail scenarios · 2025 · Liu, Qichao et al. · archived
63. Towards a Driver Model: Preliminary Study of Lane Change Behavior ↗ · 2008 · Dogan, Ueruen et al. · indexed
64. From Awareness to Intent: Mitigating Silent Driving System Failures through Prospective Situation Awareness Enhancing Interfaces · 2026 · Wang, Jiyao et al. · archived
65. 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
66. Cognitive Attention Models for Driver Engagement in Intelligent and Semi-autonomous Vehicles · 2018 · Lee, John D. et al. · archived
67. A merging interaction model explains human drivers' behaviour from input signals to decisions · 2023 · Abbink, David A. · archived
68. A Lane Change Assistance System Based on Prediction of Driver Intention · 2024 · Tanshi, Foghor et al. · archived
69. Combined Driver Distraction and Intention Algorithm for Maneuver Prediction and Collision Avoidance ↗ · 2018 · Gillmeier, Katharina et al. · indexed
70. Learning Driver Behavior Models from Traffic Observations for Decision Making and Planning ↗ · 2015 · Gindele, Tobias et al. · indexed
71. Decision-Theoretic Reasoning for Traffic Monitoring and Vehicle Control · 1995 · Wellman, Michael P. et al. · archived
72. An Active Inference Model of Car Following: Advantages and Applications · 2023 · Wei, Ran et al. · archived
73. Latent Hazard Anticipation in Young Drivers: Review and Meta-Analysis of Training Studies ↗ · 2018 · Unverricht, James et al. · indexed
74. Investigation of Driver Adaptations in a Mixed Traffic Environment · 2024 · Kondyli, Alexandra et al. · archived
75. Driver Behavior and Situation Aware Brake Assistance for Intelligent Vehicles ↗ · 2007 · McCall, J.C. et al. · indexed
76. Hazard Perception in Driving: A Systematic Literature Review · 2022 · Cao, Shi et al. · archived
77. Toward an Integrated Model of Driver Behavior in Cognitive Architecture ↗ · 2001 · Salvucci, Dario D. et al. · indexed
78. Active inference as a model of collision avoidance behavior in human drivers. · 2026 · Schumann, JF et al. · archived
79. COVERT: Cognitive Internet of Vulnerable Road Users in Traffic · 2025 · Kamat, Vineet R. et al. · archived
80. Improved driver modeling for human-in-the-loop vehicular control · 2015 · Driggs-Campbell, Katherine et al. · archived
81. Modeling driver control behavior in both routine and near-accident driving · 2014 · Markkula, Gustav · archived
82. CogDrive: Cognition-driven multimodal prediction-planning  fusion for safe autonomy · 2026 · Huang, Heye et al. · archived
83. The Impact of Driver’s Mental Models of Advanced Vehicle Technologies on Safety and Performance · 2020 · AAA Foundation for Traffic Safety · archived
84. 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
85. 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
86. A model of dyadic merging interactions explains human drivers’ behavior from control inputs to decisions · 2024 · Abbink, David A. · archived
87. Monte Carlo road safety reasoning ↗ · 2005 · Broadhurst, A. et al. · indexed
88. Exploring Driver Responses to Unexpected and Expected Events Using Probabilistic Topic Models · 2017 · Venkatraman, Vindhya et al. · archived
89. Drivers with limited perception: model and application to traffic simulation · 2014 · Ketenci, Utku et al. · archived
90. Delays, inaccuracies and anticipation in microscopic traffic models · 2005 · Treiber, Martin et al. · archived
91. Wiggling through complex traffic: Planning trajectories constrained by predictions ↗ · 2016 · Schlechtriemen, Julian et al. · indexed
92. Towards Context-Aware Modeling of Situation Awareness in Conditionally Automated Driving · 2024 · Avetisyan, Lilit et al. · archived
93. 1P1-D04 Evaluation of the Hazard-Anticipatory Driver Assistance System in Reconstructed Hazardous Scenario by Using Driving Simulator(Car Robotics) · 2012 · EZAWA, Kazuhiro et al. · archived
94. Modeling Driver Characteristics - Driver Behavior in Traffic : [fact sheet] · 2010 · NHTSA · archived
95. 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
96. Beyond the tangent point: Gaze targets in naturalistic driving ↗ · 2013 · Lappi, Otto et al. · indexed
97. Expecting the Unexpected: A Study of Interactive Driving Behaviour at Intersections ↗ · 2008 · Houtenbos, M · indexed
98. Scene-aware driver state understanding in car-following behaviors ↗ · 2017 · Xu, Donghao et al. · indexed
99. Development of a statistical method for predicting human driver decisions. · 2015 · Tan, Yaoyan Vincent et al. · archived
100. VALIDATION OF AN ATTENTION-BASED MODEL OF DRIVER PERFORMANCE IN REAR- END COLLISION SITUATIONS ↗ · 2001 · Brown, Timothy L. et al. · indexed
101. DriveNet: A deep learning framework with attention mechanism for early driving maneuver prediction · 2025 · M'haouach, Mohamed et al. · archived
102. Predicting Takeover Performance and Identifying Behavioral Patterns in Autonomous Vehicles Based on Readiness State and Scenario Complexity ↗ · 2025 · Lai, Hsueh-Yi et al. · indexed
103. Should I stay or should I go? Evidence accumulation drives decision making in human drivers · 2020 · Abbink, David A. · archived
104. A Prediction of Time Series Driving Motion Scenarios Using LSTM and ESN ↗ · 2022 · Qazani, Mohammad Reza Chalak et al. · indexed
105. Probabilistic Situation Assessment for Intelligent Vehicles with Uncertain Trajectory Distribution ↗ · 2021 · Huang, Heye et al. · indexed
106. Post Take-Over Performance Varies in Drivers of Automated and Connected Vehicle Technology in Near-Miss Scenarios · 2024 · Yamani, Yusuke et al. · archived
107. An Eye-Fixation Related Electroencephalography Technique for Predicting Situation Awareness: Implications for Driver State Monitoring Systems ↗ · 2023 · Liang, Nade et al. · indexed
108. A Probabilistic Architecture of Long-Term Vehicle Trajectory Prediction for Autonomous Driving · 2022 · Liu, Jinxin et al. · archived
109. Enhancing Automated Vehicle Safety Through Testing with Realistic Driver Models · 2023 · Garcia, Alfredo et al. · archived
110. Risk Representation, Perception, and Propensity in an Integrated Human Lane-Change Decision Model ↗ · 2022 · Jiang, Longsheng et al. · indexed
111. AutoPreview: A Framework for Autopilot Behavior Understanding · 2021 · Shen, Yuan et al. · archived
112. Future reference prediction in model predictive control based driving simulators · 2016 · Mohammadi, Arash et al. · archived
113. Evaluation of a Training Intervention to Improve Novice Drivers’ Hazard Mitigation When Approaching Left Turn Scenarios ↗ · 2019 · Muttart, Jeffrey W. et al. · indexed
114. Modeling and adaptation of stochastic driver-behavior model with application to car following ↗ · 2011 · Angkititrakul, Pongtep et al. · indexed
115. Intelligent control design of anticipation and relaxation behavior in real traffic flow ↗ · 2014 · Ghaffari, Ali et al. · indexed
116. Prediction-Uncertainty-Aware Decision-Making for Autonomous Vehicles ↗ · 2022 · Tang, Xiaolin et al. · indexed
117. Interaction-Aware Probabilistic Trajectory Prediction of Cut-In Vehicles Using Gaussian Process for Proactive Control of Autonomous Vehicles · 2021 · Yoon, Youngmin et al. · archived
118. A Bayesian framework for preventive assistance at road intersections · 2016 · Armand, Alexandre et al. · archived
119. An Approach for the Selection and Description of Elements Used to Define Driving Scenarios · 2021 · Rao, Sughosh J. et al. · archived
120. How Reliable Is This Route?: Predictive Travel Time and Reliability for Anticipatory Traveler Information Systems ↗ · 2006 · Dong, Jing et al. · indexed
121. Prediction Performance of Lane Changing Behaviors: A Study of Combining Environmental and Eye-Tracking Data in a Driving Simulator ↗ · 2019 · Deng, Qi et al. · indexed
122. A taxonomy of prospection: Introducing an organizational framework for future-oriented cognition · 2014 · Szpunar, Karl K. et al. · archived
123. Multipolicy Decision-Making for Autonomous Driving via Changepoint-based Behavior Prediction · 2015 · Galceran, Enric et al. · archived
124. Development of Gap Acceptance Fuzzy Models Using Data from Driving Simulator Experiments ↗ · 2011 · Rossi, Riccardo et al. · indexed
125. Statistical Threat Assessment for General Road Scenes Using Monte Carlo Sampling ↗ · 2008 · Eidehall, Andreas et al. · indexed
126. Control Theoretic Models of Human Drivers in Car Following ↗ · 1977 · Bekey, George A. et al. · indexed
127. SITUATION AWARENESS: WHAT IT IS AND WHY IT MATTERS FOR ITS ↗ · 1999 · Harbluk, Joanne L. et al. · indexed
128. An Approach for the Selection and Description of Elements Used to Define Driving Scenarios – Part II · 2023 · Rao, Sughosh J. et al. · archived
129. Classification of Eye Movement and Its Application in Driving Based on a Refined Pre-Processing and Machine Learning Algorithm ↗ · 2021 · Li, Xiansheng et al. · indexed
130. A Taxonomy and Review of Algorithms for Modeling and Predicting Human Driver Behavior · 2025 · Bhattacharyya, Raunak et al. · archived
131. Subtle motion cues by automated vehicles can nudge human drivers’ decisions: Empirical evidence and computational cognitive model · 2023 · Abbink, David A. · archived
132. Occupancy Flow Fields for Motion Forecasting in Autonomous Driving · 2022 · Mahjourian, Reza et al. · archived
133. On the Roles of Eye Gaze and Head Dynamics in Predicting Driver's Intent to Change Lanes ↗ · 2009 · Doshi, A. et al. · indexed
134. EXPERIENCE AND EXPERTISE IN HAZARD PERCEPTION ↗ · 1991 · McKenna, Frank et al. · indexed
135. Trajectory prediction of a lane changing vehicle based on driver behavior estimation and classification ↗ · 2014 · Liu, Peng et al. · indexed
136. Mapping drivers’ mental models of adaptive cruise control to performance ↗ · 2021 · Gaspar, John et al. · indexed
137. Early Lane Change Prediction for Automated Driving Systems Using Multi-Task Attention-Based Convolutional Neural Networks · 2022 · Mozaffari, Sajjad et al. · archived
138. ParkPredict: Motion and Intent Prediction of Vehicles in Parking Lots · 2020 · Shen, Xu et al. · archived
139. The Driving Safety Field Based on Driver–Vehicle–Road Interactions ↗ · 2015 · Wang, Jianqiang et al. · indexed
140. Modeling response time and hazard identification in a video-based hazard perception test for car drivers ↗ · 2025 · Akshay, T.K. et al. · indexed
141. Modeling response time and hazard identification in a video-based hazard perception test for car drivers ↗ · 2025 · Akshay, T et al. · indexed
142. 5. Probabilistic driver modeling ↗ · 2017 · Driggs-Campbell, Katherine et al. · indexed
143. Análisis del comportamiento visual del conductor aplicado a la toma de decisiones en vehículos autónomos ↗ · 2023 · Sánchez–Mateo, Sofia · indexed
144. A review of prediction methods for moving target trajectories ↗ · 2021 · Wen, LIU et al. · indexed
145. Predictive Threat Assessment via Reachability Analysis and Set Invariance Theory ↗ · 2011 · Falcone, Paolo et al. · indexed
146. Prediction of human driver behaviors based on an improved HMM approach · 2018 · Deng, Qi et al. · archived
147. Objective evaluation of prediction strategies for optimization-based motion cueing ↗ · 2019 · Grottoli, Marco et al. · indexed
148. Using an Integrated Cognitive Architecture to Model the Effect of Environmental Complexity on Drivers’ Situation Awareness ↗ · 2019 · Rehman, Umair et al. · indexed
149. Online Model Predictive Motion Cueing With Real-Time Driver Prediction ↗ · 2021 · Lamprecht, Alexander et al. · indexed
150. Interaction-Aware Motion Prediction for Autonomous Driving: A Multiple Model Kalman Filtering Scheme ↗ · 2020 · Lefkopoulos, Vasileios et al. · indexed
151. Nudging human drivers via implicit communication by automated vehicles: Empirical evidence and computational cognitive modeling ↗ · 2024 · Zgonnikov, Arkady et al. · indexed
152. The PREVENTION dataset: a novel benchmark for PREdiction of VEhicles iNTentIONs ↗ · 2019 · Izquierdo, R. et al. · indexed
153. Situation Awareness for Driver-Centric Driving Style Adaptation · 2024 · Haselberger, Johann et al. · archived
154. Whatever after Next? Adaptive Predictions Based on Short- and Long-Term Memory in Visual Search · 2012 · Conci, Markus et al. · archived
155. Perception Without Vision for Trajectory Prediction: Ego Vehicle Dynamics as Scene Representation for Efficient Active Learning in Autonomous Driving · 2025 · Greer, Ross et al. · archived
156. Traffic safety measures using multiple streams real time data : final report · 2017 · Jafari, Mohsen · archived
157. Prediction and Behaviors for Driver Assistance and Socially Cooperative Autonomous Driving · 2018 · Khurana, Aman et al. · archived
158. Analysis of microscopic behavior models for probabilistic modeling of driver behavior ↗ · 2016 · Wheeler, Tim A. et al. · indexed
159. Risk Awareness and Perception Training Using VR Headsets: The Validation of VR Headsets to Measure Hazard Anticipation Behaviors · 2019 · Fitzpatrick, Cole et al. · archived
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163. Explaining human interactions on the road by large-scale integration of computational psychological theory · 2023 · Markkula, Gustav et al. · archived
164. Steering behavior model of drivers on driving simulator through visual information ↗ · 2016 · Suzaki, Tomohito et al. · indexed
165. Egocentric Vision-based Future Vehicle Localization for Intelligent\n Driving Assistance Systems · 2018 · Yao, Yu et al. · archived
166. Modeling the decision-making in human driver overtaking · 2020 · Stefansson, Elis et al. · archived
167. Modeling Driver Responses to Automation Failures With Active Inference ↗ · 2022 · Wei, Ran et al. · indexed
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169. Anticipating uncertain events: estimates of probability driving anticipatory eye movements · 2009 · Montagnini, Anna et al. · archived
170. Graphical models for driver behavior recognition in a SmartCar ↗ · 2002 · Oliver, N. et al. · indexed
171. A Quantitative Method of Assessing the Hazard Perception of Drivers in Human-Machine Codriving Vehicles ↗ · 2024 · Feng, Zhongxiang et al. · indexed
172. State Estimation and Motion Prediction of Vehicles and Vulnerable Road Users for Cooperative Autonomous Driving: A Survey · 2022 · Ghorai, Prasenjit et al. · archived
173. A Comparative Study of Ego-centric and Cooperative Perception for Lane Change Prediction in Highway Driving Scenarios · 2021 · Mozaffari, Sajjad et al. · archived
174. Risk-based driver assistance for approaching intersections of limited visibility ↗ · 2017 · Damerow, Florian et al. · indexed
175. Online intention recognition applied to real simulated driving maneuvers · 2020 · Deng, Qi et al. · archived
176. Optical Information for Car Following: The Driving by Visual Angle (DVA) Model ↗ · 2007 · Andersen, George J. et al. · indexed
177. Neural learning of driving environment prediction for vehicle power management ↗ · 2008 · Murphey, Yi L. et al. · indexed
178. Robust, Informative Human-in-the-Loop Predictions via Empirical Reachable Sets · 2018 · Driggs-Campbell, Katherine et al. · archived
179. Trajectory prediction of traffic agents at urban intersections through learned interactions ↗ · 2017 · Sarkar, Atrisha et al. · indexed
180. STDA: Spatio-Temporal Dual-Encoder Network Incorporating Driver Attention to Predict Driver Behaviors Under Safety-Critical Scenarios · 2024 · Xu, Dongyang et al. · archived
181. Study on Decision Mechanism of Driving Behavior Based on Decision Tree ↗ · 2008 · Yang, Xinyue · indexed
182. Looking-In and Looking-Out of a Vehicle: Computer-Vision-Based Enhanced Vehicle Safety ↗ · 2007 · Trivedi, Mohan Manubhai et al. · indexed
183. Neural Learning of Predicting Driving Environment ↗ · 2008 · Murphey, Yi Lu et al. · indexed
184. Driver Modeling and Lane Change Maneuver Prediction ↗ · 2010 · van Leeuwen, C.J. · indexed
185. Improved Driving Behaviors Prediction Based on Fuzzy Logic-Hidden Markov Model (FL-HMM) · 2018 · Deng, Qi et al. · archived
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187. Planning, prospective memory, and decision-making: three challenges for hierarchical predictive processing models · 2013 · Basso, Demis · archived
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189. ANFIS based modeling and prediction car following behavior in real traffic flow based on instantaneous reaction delay ↗ · 2010 · Khodayari, Alireza et al. · indexed
190. Combined Long-Term and Short-Term Predictions of Cut-In Intention Towards Vehicle Platoons ↗ · 2025 · Lu, Yun et al. · indexed
191. Predictive trajectory guidance for (semi-)autonomous vehicles in public traffic ↗ · 2015 · Weiskircher, Thomas et al. · indexed
192. Data-driven reachability analysis for human-in-the-loop systems ↗ · 2017 · Govindarajan, Vijay et al. · indexed
193. Modeling driver behavior at roundabouts: Results from a field study · 2017 · Zhao, Mingyuan et al. · archived
194. Anticipatory Attention is a Stable State Induced by Transient Control Mechanisms ↗ · 2022 · Noah, Sean et al. · indexed
195. Intention Prediction-Based Control for Vehicle Platoon to Handle Driver Cut-In ↗ · 2023 · Lu, Yun et al. · indexed
196. Predictive Guidance and Control Framework for (Semi-)Autonomous Vehicles in Public Traffic ↗ · 2017 · Weiskircher, Thomas et al. · indexed
197. Brain signatures of catastrophic events: Emotion, salience, and cognitive control · 2024 · Laura Mas‐Cuesta et al. · archived
198. Real-Time Constrained Trajectory Planning and Vehicle Control for Proactive Autonomous Driving With Road Users · 2019 · Batkovic, Ivo et al. · archived
199. A Review of Model Predictive Controls Applied to Advanced Driver-Assistance Systems ↗ · 2021 · Musa, Alessia et al. · indexed
200. Road occupancy prediction of traffic participants · 2013 · Althoff, Matthias et al. · archived
201. Safe Local Motion Planning with Self-Supervised Freespace Forecasting ↗ · 2021 · Hu, Peiyun et al. · indexed
202. Time Series Prediction of Driving Motion Scenarios Using Fuzzy Neural Networks: Motion Signal Prediction Using FNNs ↗ · 2021 · Qazani, Mohammad Reza Chalak et al. · indexed
203. Combined road prediction and target tracking in collision avoidance · 2004 · Eidehall, A. et al. · archived
204. Decision making in dynamic and interactive environments based on cognitive hierarchy theory, Bayesian inference, and predictive control · 2019 · Li, Sisi et al. · archived
205. Predictive Cruise Control With Probabilistic Constraints for Eco Driving ↗ · 2011 · Zhang, Chen et al. · indexed
206. From robotics to automotive: Lane-keeping and collision avoidance based on elastic bands ↗ · 2008 · Sattel, Thomas et al. · indexed
207. Road Traffic Forecasting: Recent Advances and New Challenges · 2018 · Laña, Ibai et al. · archived
208. Simulation Model of Driving Behavior Based on the Cubic Spline Nonparametric Fitting Regression ↗ · 2006 · Yang, Xinyue · indexed
209. Anchoring and Adjustment in Uncertain Spatial Trajectory Prediction ↗ · 2018 · Herdener, Nathan et al. · indexed
210. A Computationally Efficient Model for Pedestrian Motion Prediction · 2018 · Batkovic, Ivo et al. · archived
211. Vehicles Trajectory Prediction Using Recurrent VAE Network · 2022 · Miguel, Miguel Angel De et al. · archived
212. Hierarchical Game-Theoretic Planning for Autonomous Vehicles · 2019 · Fisac, Jaime F. et al. · archived
213. On-Road Safety Prompt Framework for Platoon ↗ · 2022 · Zhao, Nanbin et al. · indexed
214. Assessment of the Impact of Dynamic Prediction-Based Route Guidance Using Simulation-Based, Closed-Loop Framework ↗ · 2008 · Rathi, Vaibhav et al. · indexed
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216. Hybrid Model-Based and Memory-Based Traffic Prediction System ↗ · 2004 · Alecsandru, Ciprian et al. · indexed
217. Investigation of Vehicle Speed Prediction from Neural Network Fit of Real World Driving Data for Improved Engine On/Off Control of the EcoCAR3 Hybrid Camaro ↗ · 2017 · Baker, David et al. · indexed
218. Short Term Traffic Prediction Models ↗ · 2007 · Van Hinsbergen, C P et al. · indexed
219. Learning When to Drive in Intersections by Combining Reinforcement Learning and Model Predictive Control · 2019 · Tram, Tommy et al. · archived
220. Interaction-Aware Personalized Vehicle Trajectory Prediction Using Temporal Graph Neural Networks · 2023 · Abdelraouf, Amr et al. · archived
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