simulation modeling

Computational/agent-based modeling, no human participants.

3037 papers carry this method tag, of 19870 that declare a method at all (62594 papers carry any topic). Absence here means undeclared, not absent.

Where this appears in the corpus

• Visual Perception & Hazard Perception in Driving 1040 papers
• Driver Behavior 979 papers
• Environment, Road & Weather 930 papers
• Cognitive Workload 785 papers
• Vehicle Automation & ADAS 595 papers
• Crash Statistics & Epidemiology 404 papers
• Simulator Methodology & Validity 318 papers
• Driver State Monitoring (DMS) 161 papers
• Driver Distraction 140 papers
• Training, Education & Intervention 115 papers
• Vulnerable Road Users 112 papers
• Driver Psychology, Style & Traits 111 papers

Most common topics

• situational awareness693
• traffic density662
• mental model of traffic582
• anticipation304
• following distance250
• simulator validity fidelity188
• telematics crash prediction181
• speed choice172
• automation surprise166
• steering pattern155
• lane changing139
• exposure measurement134

Papers

Newest 200 shown. For the full set, or to combine this with a topic, use the catalogue search.

1. Human Performance in Vehicle Driving · 2026 · Abendroth, Bettina et al.
2. Comparative Analysis of Interpretable Data‐Driven and Analytical Car‐Following Models on Highways: Robustness, Sensitivity and Transferability ↗ · 2026 · Adamidis, Filippos et al.
3. Data fusion-based traffic prediction and software decision support for recreational suburban roads · 2026 · Afandizadeh, Shahriar et al.
4. Cooperative Driving and Collective Navigation Architectures for CCAVs: Contemporary Techniques, Simulators, Datasets, and Research Directions · 2026 · Ahiska, Kenan
5. Integrating Traffic Simulation and Air Quality Modelling to Reduce Vehicle Emissions at Urban Intersections · 2026 · Ajayi, Samuel A. et al.
6. Modelling driver behaviour as a continuum between defensive and neutral states ↗ · 2026 · Al-Haideri, Rulla et al.
7. A machine learning model to predict the severity of road traffic injury based on aberrant driving behaviors and driver characteristics ↗ · 2026 · Abdolrazaghi, Alireza et al.
8. MOPADRL: Multi-Objective Platoon-Aware Deep Reinforcement Learning Model for Signalized Intersection Control under V2X Communication ↗ · 2026 · Karbasi, Amir Hossein et al.
9. Land Use Change and Traffic Impact Study of Al-Shaab Residential Complex as a Case Study · 2026 · Asmael, Noor Moutaz et al.
10. Modeling behavioral indicators for driver drowsiness detection: a simulator-based study ↗ · 2026 · Azaddel, Rahele et al.
11. Understanding the Mechanism of Gap-Acceptance Behavior at Roundabouts: A Cumulative Prospect Theory and Drift-Diffusion Model Framework ↗ · 2026 · Bai, Congcong et al.
12. Applications of Driving Simulators in Intelligent Transportation Systems: Investigating Driver Behaviour under Variable Speed Limits · 2026 · Baiky, Behnood et al.
13. A systematic review of evolutionary and swarm intelligence approaches for traffic signal control optimization · 2026 · Bhattacharyya, Rishika et al.
14. Clustering of Driver Behavioral Strategies During Speed Cushion Traversal: A Driving Simulator Study ↗ · 2026 · Bosurgi, Gaetano et al.
15. Impact of Commercial ACC Vehicles on Traffic Stability Considering Inter-driver and Intra-driver Heterogeneity in Human-Driven Vehicles ↗ · 2026 · Bouadi, Marouane et al.
16. Human professional level driving agent for race car simulation environments ↗ · 2026 · Bári, Gergely et al.
17. Behavioral adaptation in mixed traffic: the roles of AV penetration rate and human driving style ↗ · 2026 · Chen, Haitao et al.
18. Evaluating Bus Driver Compliance with Speed Adjustment Commands Under Different Driving Conditions: A Driving Simulator-Based Study ↗ · 2026 · Chen, Weiya et al.
19. Risk-rule filtered LSTM-dueling DQN for autonomous lane change decision ↗ · 2026 · Chen, Zhicai et al.
20. Catboost - SHapley Additive exPlanations (SHAP) car following model: Explaining model features in mixed traffic conditions ↗ · 2026 · Cui, Tianyang et al.
21. Driver Behavior Profiling Through Jerk Dynamics and Statistical IMU Descriptors ↗ · 2026 · Damian, Danut Dragos et al.
22. A Stochastic Delay Differential Equation Model of Multitasking While Driving ↗ · 2026 · Trommler, Daniel et al.
23. Discrepancies between Simulated and Real-World Car-Following Behavior of Adaptive Cruise Control Vehicles in Mixed Traffic ↗ · 2026 · Das, Tanmay et al.
24. Inferring Hidden Attentional States in Driving: A Bayesian Approach to Modeling Distraction and Secondary Task Engagement. ↗ · 2026 · Dheeraj Kashyap L et al.
25. From Models to Mobility Systems: A Survey of Multimodal Dynamic Traffic Assignment · 2026 · Fokker, Elisabeth et al.
26. Risk Assessment of Bridges and Analysis of Road Traffic Scenarios through Traffic Simulation ↗ · 2026 · Lyros, Epameinondas et al.
27. On-Demand All-Red Interval (ODAR): Evaluation and Implementation in Software-in-the-Loop Simulation ↗ · 2026 · Erdağı, İsmet Gökşad et al.
28. Resilience of traffic networks to route guidance attacks: the role of driver behaviour heterogeneity ↗ · 2026 · Ka, Eunhan et al.
29. Modeling Driver Lateral Control Behavior for Human--Machine Shared Takeover During Emergency Collision Avoidance Under Dynamic Traffic Environment ↗ · 2026 · Feng, Shiyong et al.
30. A Visual Driving Car-Following Model Based on Dynamic Vision Features ↗ · 2026 · Geng, Bowen et al.
31. Global stability of vehicle-with-driver dynamics via Sum-of-Squares programming ↗ · 2026 · Gulisano, Martino et al.
32. Human-inspired emotion and attention encoding for autonomous vehicles’ decision-making: a lane-change timing optimization case ↗ · 2026 · Han, Tianyuan et al.
33. Predicting driver adaptability: a computational rationality model for attention allocation in lateral vehicle control ↗ · 2026 · Hautaoja, Toni
34. Design and Validation of a Driver Guidance System to Alleviate Passenger Motion Sickness · 2026 · Xie, Weiyin et al.
35. Modeling Human-Like Car-Following Behavior: A GRPO Approach for Region-Specific Adaptation · 2026 · Liu, Yang et al.
36. Implicit Driving Cues for Coordinating Actions When Sharing Spaces ↗ · 2026 · Hensch, Ann-Christin et al.
37. CogDrive: Cognition-driven multimodal prediction-planning  fusion for safe autonomy · 2026 · Huang, Heye et al.
38. Learning to drive from naturalistic trajectories: Offline reinforcement learning for safe speed guidance at signalized intersections · 2026 · Shi, Xiaoyu et al.
39. Economic Incentives and Routing Behavior of LLM-Based Driver Agents in Ride-Hailing Markets ↗ · 2026 · Hu, Beiming et al.
40. Improvement and Calibration of Driving Safety Field Model: Resolving Risk Characterization Mismatches ↗ · 2026 · Hu, Yanting et al.
41. Security Defense of Transportation Networks Against Cyberattacks: A Physics-Informed AI Approach · 2026 · Kim, Yongju et al.
42. Driver-Personalized Risk Assessment in Car-Following: Validation of an Optical-Flow-Based Model using SHRP 2 Naturalistic Driving ↗ · 2026 · Kondoh, Takayuki et al.
43. Driver behavior classification for stop-n-go traffic via machine learning based driver model ↗ · 2026 · Kopeczi-Bocz, Akos T. et al.
44. From 3D Skeleton Data to Metahuman: An End-to-End Framework of Driver Behavior Classification and Retargeting for Simulation-Based Driver Monitoring System ↗ · 2026 · Kurniadi, Kezia Amanda et al.
45. Characterizing vehicle-pedestrian interaction behavior in near misses: Insights from three different sites ↗ · 2026 · Lanzaro, Gabriel et al.
46. Assessing urban curbside parking for commercial vehicles: simulation and policy insights ↗ · 2026 · Liu, Yujun et al.
47. Simulation assessment of autonomous electric vehicles on urban sustainability in Riyadh City. · 2026 · Louati, A et al.
48. Data-driven derivation of macroscopisc fundamental diagram from floating car trajectories. · 2026 · Lu X et al.
49. Decentralized graph attention multi-agent reinforcement learning for adaptive urban traffic routing. · 2026 · Mahmoud M et al.
50. Mechanisms of Driver Decision‐Making in Informal Mixed Urban Traffic: A Naturalistic Study in Kinshasa (DRC) ↗ · 2026 · Mbula, Roméo Muselefu et al.
51. Driving behavior recognition and scoring: A Bayesian approach to driving simulator data analytics ↗ · 2026 · Pourghasemi, Mohammad et al.
52. Driving Context Sensitivity: An Endogenous Concept for Capturing Intra-driver Heterogeneity ↗ · 2026 · Mohammadian, Saeed et al.
53. An areal continuum model for mixed traffic · 2026 · Maiti, Nandan et al.
54. Modeling driver information transmission during turning at unsignalized intersections: a driving simulator study ↗ · 2026 · Ni, Dingan et al.
55. Decentralised bottleneck prioritisation strategy for traffic flow improvement · 2026 · Serok, Nimrod et al.
56. Influence of Autonomous Vehicles on Freeway Traffic Performance for Undersaturated Traffic Conditions · 2026 · ElSahly, Osama et al.
57. Optimisation-Based Tuning of a Triple-Loop Vehicle Controller to Mimic Professional Driver Performance in a DiL Simulator ↗ · 2026 · Palermo, Vincenzo et al.
58. Integrating extreme value theory and the task-capability interface model to estimate crash risk with driver-specific heterogeneity in connected environment ↗ · 2026 · Parashar, Shubham et al.
59. Behind the Wheel of a Truck Simulator: Comparison of Self-Reported, Performance-Based, and Simulation Methods for Predicting Driver Traffic Offences ↗ · 2026 · Baran, Paulina et al.
60. Comprehensive Review of Driver Behaviour Studies in Traffic Safety Research · 2026 · rapri, Priyanka
61. A reproducible framework for road-view driver behaviour analysis using lane stability and vehicle interaction ​ ↗ · 2026 · Sadu, Chandra Vamsi et al.
62. Behavioral adaptation of human drivers in car-following interactions with automated vehicles ↗ · 2026 · Saljoqi, Masoud et al.
63. Coupled Longitudinal–Lateral Driver Modeling in Congested Arterials:,Limitations of Classical Car-Following Models Under Lane-Changing and Aggressive Driving, and Proposed Mathematical Improvements ↗ · 2026 · Samberg, Stuart
64. Analysis of the influence of traffic variables on lane change manoeuvres decision-making in real-world traffic scenarios ↗ · 2026 · Sanchez-Mateo, Sofia et al.
65. Balancing Safety, Efficiency, and Sustainability: A Survey of Modeling Tools for Autonomous Vehicles Interactions ↗ · 2026 · Sarkandi, Golnoosh et al.
66. Dynamic Real-Time Prediction of Drivers’ Risk Perception Using Deep Learning and Driving Simulator Data ↗ · 2026 · Masud, Saumik Sakib Bin et al.
67. Collision Avoidance Effectiveness of an Automated Driving System Using a Human Driver Behavior Reference Model in Reconstructed Fatal Collisions ↗ · 2026 · Scanlon, John M. et al.
68. Active inference as a model of collision avoidance behavior in human drivers. · 2026 · Schumann, JF et al.
69. Empirical Validation of Human-Centered Driving Style Parameterization in Highly Automated Vehicles · 2026 · Shah, Karan et al.
70. Modeling takeover decisions in driving automation: a multilevel drift–diffusion model (MDDM) framework integrating human, system, and environmental factors ↗ · 2026 · Sheng, Youyu et al.
71. Analyzing Road Network Inefficiency via Simulation: Towards a MARL Evaluation Testbed ↗ · 2026 · Rahmani, Shima et al.
72. INTELLIGENT MANAGING THE DRIVING STYLE OF THE ADR DRIVER IN REAL TIME ↗ · 2026 · Stefanovic, M. et al.
73. A Trajectory Data-Driven Personalized Autonomous Driving Decision System for Driving Simulators ↗ · 2026 · Sun, Wenpeng et al.
74. Simulation-based analysis of variable speed limit for traffic performance and safety during incidents ↗ · 2026 · Hemapan, Surapat et al.
75. An Adaptive Class-wise Leader-Follower Pair Identification Framework and Behavioural Regimes in Heterogeneous Traffic ↗ · 2026 · Eldhose, Susan et al.
76. Interactive Driving Turing Test with Think-Aloud Protocol: How Realistic Are Behavioural Driver Models? ↗ · 2026 · Tang, Tianyu et al.
77. Modeling Driver-Initiated Intervention in Automated Driving: A Dual-Stage Progressive Intention-to-Action Prediction Framework ↗ · 2026 · Tang, Tianxiang et al.
78. DrivNet: Adaptive driving behavior prediction for improving the safety of multimodal transportation in autonomous vehicle systems ↗ · 2026 · Theivadas, J Robert et al.
79. A Stochastic Delay Differential Equation Model of Multitasking While Driving ↗ · 2026 · Trommler, Daniel et al.
80. What factors influence driver behaviour characteristics when pedestrians cross the road? Insights from the UDRIVE naturalistic driving study ↗ · 2026 · Varotto, Silvia F. et al.
81. A visualization-supported, hierarchical, action-learning model for driving behavior in a V2X environment ↗ · 2026 · Wang, Xuantong et al.
82. An Empirical Model of Driver Workload Dynamics at Unsignalized Intersections ↗ · 2026 · Wang, Yiyun et al.
83. Mandatory lane-changing decision and control method based on game theory. · 2026 · Wang, Z et al.
84. Cooperative and Interaction‐Aware Driver Model for Lane Change Manoeuvre ↗ · 2026 · Woo, Jemin et al.
85. A Two-Stage Driving-Style-Stratified Framework for Analyzing and Predicting Car-Following Conflict Risk in Mixed Traffic ↗ · 2026 · Yang, Manli et al.
86. M2SimVR: Multi-modal Mobility Simulation with VR, E-Scooter, Driving Simulator, SUMO, and Unity Integration ↗ · 2026 · Yang, Zhiwei et al.
87. Proactive Longitudinal Control to Assist Lane Changes of Human-Driven Vehicles in Mixed Traffic: Human-Emulation Approach · 2026 · Liu, Yongyang et al.
88. Modeling Driver Compliance with Eco-Routing Recommendations Using Naturalistic Smartphone Data ↗ · 2026 · Yu, Bo et al.
89. A microscopic traffic characterization considering the impact of density on carbon emissions from CAVs · 2026 · Khan, Zawar Hussain et al.
90. Who took my right-of-way? Human decision-driven modeling of bus lane mixed flow under roadside access interference ↗ · 2026 · Zhang, Yan et al.
91. From "warning" to "guidance": design of a closure control zone for eight-lane freeways and evaluation of its regulating effects on driving behavior. · 2026 · Zhao, X et al.
92. Verification and Calibration of Microscopic Traffic Simulation Using NDS and Video Data for Alternative Intersections and Freeway Merge and Diverge Areas · 2026 · Zhou, Huaguo et al.
93. Exploring Research Trends in Mixed Traffic Flow Simulation by Bibliometric Analysis ↗ · 2026 · Du, Zitao et al.
94. Review of: "Can Human Drivers and Connected Autonomous Vehicles Co-exist in Lane-Free Traffic? A Microscopic Simulation Perspective" · 2025 · Bakibillah, A. S.M.
95. Stability Analysis and Numerical Simulation of an ICV Car-Following Model Based on Multi-Sensor Data Fusion ↗ · 2025 · Abulizi, Ailixiati et al.
96. Calibrating Microscopic Traffic Simulation Model Using Connected Vehicle Data and Genetic Algorithm ↗ · 2025 · Afshari, Abolfazl et al.
97. An Equilibrium-Seeking Search Algorithm for Integrating Large-Scale Activity-Based and Traffic Assignment Models ↗ · 2025 · Agriesti, Serio et al.
98. Hybrid control of Hopf bifurcation in macroscopic traffic flow: the Little’s law-driven continuum model ↗ · 2025 · Ai, Wenhuan et al.
99. Defining accuracy benchmarks for freeway traffic simulations in support of highway operations and planning ↗ · 2025 · Ayodeji Ajidahun et al.
100. Multi-source enriched driving behavior models A driving simulator case study in Germany ↗ · 2025 · Al Haddad, Christelle et al.
101. AI on the Road – A Review of Technologies Enhancing Urban Traffic Safety and Efficiency · 2025 · ALANAZI, Fayez
102. A Driving Simulator-Based Assessment of Traffic Calming Measures at High-to-Low Speed Transition Zones · 2025 · Pirdavani, Ali et al.
103. Human Factors Study to Understand Driver Behavior on Managed Lane Facilities · 2025 · Alluri, Priyanka et al.
104. Dynamic Modeling of Passenger Car Units for Roundabouts: A Novel Genetic Algorithm Optimization-Based Approach ↗ · 2025 · Ameen, Tazim et al.
105. Long-term trajectory prediction method based on highway vehicle-following behavior patterns ↗ · 2025 · An, Zhichao et al.
106. Influence of MPC Based Driver Types on the Energy Consumption of Battery Electric Vehicles ↗ · 2025 · Konzept, Anja et al.
107. SIMULATION-BASED PERFORMANCE EVALUATION FOR SMART ROAD SYSTEMS · 2025 · GRANÀ, Anna et al.
108. Rest Area Utilisation for Truck Traffic Management ↗ · 2025 · Kotsialos, Apostolos et al.
109. Driving behavior analytics: an intelligent system based on machine learning and data mining techniques ↗ · 2025 · Arabiat, Areen et al.
110. The weights of drivers’ on-route concerns in car-following behaviours ↗ · 2025 · Salehikalam, Arsalan et al.
111. Can Human Drivers and Connected Autonomous Vehicles Co-exist in Lane-Free Traffic? A Microscopic Simulation Perspective · 2025 · Syed, Arslan Ali et al.
112. Towards Context-Aware Modeling of Situation Awareness in Conditionally Automated Driving ↗ · 2025 · Avetisyan, Lilit et al.
113. Developing a Simulation-Based Traffic Model for King Abdulaziz University Hospital, Saudi Arabia ↗ · 2025 · Azmain, Mohaimin et al.
114. Stackelberg Game Based on Trajectory Prediction for Lane Change in Mixed Traffic ↗ · 2025 · Shi, Baichuan et al.
115. Enhancing the Performance of Emergency Vehicles Through Reinforcement Learning Based DVSL Control Systems · 2025 · Bandarian, Fatemeh et al.
116. Optimization-Based Scenario Space Sampling for Performance Boundary Estimation of Driver Reference Models ↗ · 2025 · Beckmann, Jobst et al.
117. 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.
118. Modeling Lane Changes at Freeway On-Ramps With a Novel Car-Following Model Based on Desired Time Headways ↗ · 2025 · Berghaus, Moritz et al.
119. A Taxonomy and Review of Algorithms for Modeling and Predicting Human Driver Behavior · 2025 · Bhattacharyya, Raunak et al.
120. Testing the Hurricane Evacuation Modeling Package (HEMP) · 2025 · Bian, Ruijie “Rebecca”
121. From Urban Data to City‐Scale Models: A Review of Traffic Simulation Case Studies ↗ · 2025 · Bochenina, Klavdiya et al.
122. Building Reliable Sim Driving Agents by Scaling Self-Play · 2025 · Cornelisse, Daphne et al.
123. Safety performance functions in a road environment with automated vehicles · 2025 · Coropulis, Stefano et al.
124. Nmpc-Based Driver Demand Prediction With Vehicle Social Force Interaction Model ↗ · 2025 · Cui, Yuanhao et al.
125. Characterizing Human Feedback-Based Control in Naturalistic Driving Interactions via Gaussian Process Regression with Linear Feedback ↗ · 2025 · DiPirro, Rachel et al.
126. Characterization of Human Driving Behaviors in Shared Vehicle Control Based on Level-k Cognitive Modeling ↗ · 2025 · Dudek, Aleksandra et al.
127. Redefining Multimodal Microscopic Traffic Modeling with Information‐Theoretic Influence Areas and Self‐Supervised Learning ↗ · 2025 · Mantouka, Eleni G. et al.
128. Evaluating Autonomous Vehicle Safety Countermeasures in Freeways Under Sun Glare ↗ · 2025 · Esmaeeli, Hamed et al.
129. Measuring Usefulness of Crash Fact Signs on Speeding Behavior: A Case Study from Sahrawi Highway · 2025 · Alhomaidat, Fadi
130. Modeling Drivers in Route Diversion Behavior During Congestion: A Pilot Study · 2025 · Fuller, James David et al.
131. Modelling the Energy Consumption of Road Vehicles in Transport Networks Evaluation ↗ · 2025 · Musolino, Giuseppe et al.
132. Generative AI for Autonomous Driving: Frontiers and Opportunities · 2025 · Wang, Yuping et al.
133. Energy-Efficient Cooperative Decision-Making for CAVs: A Traffic Flow Optimization Approach · 2025 · He, Shan et al.
134. Rear Vehicle Matters: How Tailgaters Influence the Car-Following Behaviors of the Ego-Vehicle · 2025 · Liu, Yang et al.
135. Sharing the Road ↗ · 2025 · He, Dengbo et al.
136. Evaluating Traffic Delay at Urban Intersections: Field Measurements vs. VISSIM Modeling (Barzani Namr Ring Road, Erbil) · 2025 · Smail, Helen Sirwan et al.
137. Joint Optimization of Multivehicles and Traffic Signal: A Parallel Approach in Spatial Domain ↗ · 2025 · Zhu, Jichen et al.
138. LEAD: Learning-Enhanced Adaptive Decision-Making for Autonomous Driving in Dynamic Environments · 2025 · Huang, Heye et al.
139. Traffic Control based on CARMA Platform for Maximal Traffic Mobility and Safety · 2025 · Li, Xiaopeng (Shaw) et al.
140. Understanding Driver Cognition and Decision-Making Behaviors in High-Risk Scenarios: A Drift Diffusion Perspective · 2025 · Huang, Heye et al.
141. Network partitioning with congestion back-propagation for large-scale microscopic traffic simulation ↗ · 2025 · Huang, Di et al.
142. Using Connected Intelligent Transportation To Enhance Vulnerable Road User Safety · 2025 · Huang, Zilin et al.
143. Empirical analysis of car-following behavior: Impacts of driver demographics, leading vehicle types, and speed limits on driver behavior and safety ↗ · 2025 · Hussain, Zahid et al.
144. Modeling the Impact of Automation on Driver Distraction: A Queuing Theory Approach ↗ · 2025 · Parker, Jah’inaya et al.
145. A Hybrid Dynamic Model for Predicting Human Cognition and Reliance During Automated Driving ↗ · 2025 · Jeevanandam, Sibibalan et al.
146. Shared Control for Vehicle Lane-Changing with Uncertain Driver Behaviors · 2025 · Wu, Jiamin et al.
147. Testing the Validity of Multiparticipant Distributed Simulation for Understanding and Modeling Road User Interaction ↗ · 2025 · Kalantari, Amir Hossein et al.
148. Inferring Hidden Attentional States in Driving: A Bayesian Approach to Modeling Distraction and Secondary Task Engagement ↗ · 2025 · Kashyap, Lekhapriya Dheeraj et al.
149. Analysis of the Impact of Demand-Responsive Transport (DRT) System Implementation on Urban Traffic Congestion Using SUMO Simulation ↗ · 2025 · Kim, Seung-Hak et al.
150. Application of neural networks in vehicle simulation as a substitute for driver models ↗ · 2025 · Koller, Tamás et al.
151. Investigation of Key Safety Measures for Pre and Post-Deployment of Connected and Automated Vehicles · 2025 · Kondyli, Alexandra et al.
152. Cycling safety assessment in microscopic traffic simulation: A review and methodological framework ↗ · 2025 · Konrad, Christoph M. et al.
153. Stochastic Control Behavior of the Balancing Rider for Cycling Safety in Traffic Simulation ↗ · 2025 · Konrad, Christoph M. et al.
154. Automated Driving Control in Mixed Traffic Flow Using V2V Communication ↗ · 2025 · Lee, Euntak et al.
155. Instant Inverse Modeling of Stochastic Driving Behavior With Deep Reinforcement Learning ↗ · 2025 · Lee, Dongsu et al.
156. Analysis of Driving Behavior Characteristics at Intersections under Active Driving Guidance ↗ · 2025 · Li, Jiazhen et al.
157. DeepMF: Deep Motion Factorization for Closed-Loop Safety-Critical Driving Scenario Simulation ↗ · 2025 · Li, Yizhe et al.
158. Optimization Strategy for Car Following and Lane Changing Models of CAV in Mixed Traffic Environments ↗ · 2025 · Li, Wanyue et al.
159. Research on countermeasure of taxi driver's aggressive driving behavior based on text features extraction ↗ · 2025 · Li, Sizhe et al.
160. Arterial Ecosignal Coordination Based on Vehicle Trajectory Estimation Using Kinematic Analytical Formula ↗ · 2025 · Lin, Yongjie et al.
161. A fuzzy-based system for decision of driver mental status and its performance evaluation ↗ · 2025 · Liu, Yi
162. Fuzzy logic-based speed guidance strategy for mixed platoons at intersections with communication delay compensation and driver reaction time modeling. · 2025 · Liu, X et al.
163. A “digital twin” traffic simulation tool for network-wide real-time traffic monitoring and management ↗ · 2025 · Lu, Weike et al.
164. Fusing Temporal Convolutional Networks and Physical Car-Following Model for Realistic Traffic Flow Simulation ↗ · 2025 · Ma, Liijng et al.
165. Social network analysis in driver monitoring systems: understanding the impact of predictive models on driver safety ↗ · 2025 · Madhumita, S. et al.
166. Making CAV Deployments Compatible with Complete Streets Objectives for Safe and Efficient Operation Phase I · 2025 · Mahmassani, Hani S. et al.
167. Advancing traffic microsimulation: a systematic review of parameter selection for connected and autonomous vehicles ↗ · 2025 · Oikonomou, Maria G. et al.
168. Comprehensive Evaluation of the Impacts of Mixed Traffic Conditions on Urban Networks ↗ · 2025 · YAVUZ, Mehmet Nedim et al.
169. Strategies for Improved Driver Behavior within Work Zones · 2025 · Mishra, Sabyasachee et al.
170. AI-Based Predictive Modeling and NSGA-II Optimization for Eco-Driving Route Planning in Electric Vehicles · 2025 · Abro, Muhammad Arsalan Jalees et al.
171. A Driving Simulator Investigation on the Aggressiveness of an Automatic Lane-Change System · 2025 · Guan, Muhua et al.
172. Optimizing Vehicle Trajectories at Fixed-Time Traffic Signal Intersections Using Cooperative Driving Automation (CDA) · 2025 · NHTSA
173. Automated vehicles with communication capabilities: Is there an added impact on traffic efficiency at yield sign-controlled intersections? · 2025 · Georgiou, Niki et al.
174. Predictive Modeling of Urban Travel Demand Using Neural Networks and Regression Analysis ↗ · 2025 · Çolak, Muhammed Ali et al.
175. Validation of human benchmark models for automated driving system approval: How competent and careful are they really? ↗ · 2025 · Olleja, Pierluigi et al.
176. Enhancing Car-Following Models with Bike Dynamics for Improved Traffic Simulation ↗ · 2025 · Ostendorf, Nico et al.
177. Improving the organization of traffic at an intersection with traffic lights through simulation modelling and assessment of the possibility of converting into a roundabout ↗ · 2025 · Pencheva, Velizara et al.
178. A Vehicle Conflict Risk Identification Method Based on an Improved Intelligent Driver Model ↗ · 2025 · Qi, Shouming et al.
179. The use of computer simulation to improve road safety at the intersection of Volgogradskaya and Korolenko Streets in Kazan, Republic of Tatarstan ↗ · 2025 · Zagidullin, Ramil R. et al.
180. A Conceptual Framework for AI-based Explainable Driver Behavior in Human-in-the-loop Simulators ↗ · 2025 · Rebling, Patrick et al.
181. Cognitive behavior model replicates road user response timing in naturalistic rear-end traffic conflicts ↗ · 2025 · Rössert, Christian et al.
182. Effect of Relative Delay Rate on Predicted Accident at Karbala City Arterial Streets: A Simulation Study · 2025 · Salah, Majida et al.
183. Emerging Behavioral Adaptation of Human-Driven Vehicles in Interactions with Automated Vehicles: Insights from a Microsimulation Study · 2025 · Saljoqi, Masoud et al.
184. Network-level analysis of the effects of drivers’ preferences toward driving behavior of Automated Vehicles: a microsimulation study on a highway segment ↗ · 2025 · Saljoqi, Masoud et al.
185. Space Based Longitudinal Car Following Safety Field Model for Vehicles and its Auxiliary Decision-Making and Traffic System Self-Regulation Methods ↗ · 2025 · School of Navigation，Wuhan University of Technology, Wuhan 430063, China et al.
186. Driving Assistance Based on an Online-Updated Personalized Driver Model ↗ · 2025 · Seki, Suzuka et al.
187. Determinants Behind the Taste Variation in Discretionary Lane Changing Behavior of Drivers Facing Downstream Queues · 2025 · Matin, Seyed Hamed Seyed et al.
188. Research on the travel choice behavior analysis method of truck driver based on latent class model ↗ · 2025 · SHAO, JUAN
189. Intersection passing strategies for human-driven and autonomous vehicles in mixed traffic using DEA. · 2025 · Shen, J et al.
190. Modeling Human Driver Behavior During Highway Merging Using the Communication - Enabled Interaction Framework ↗ · 2025 · Siebinga, Olger et al.
191. Vehicle Early Lane Change Model Based on Driving Safety Field in Complex Scenarios ↗ · 2025 · Song, Jia et al.
192. Cooperative Driving Automation — Highway Driving Simulator Architecture: High-Level Architecture Design · 2025 · Stark, John et al.
193. Understanding Risks and Opportunities for Ramp Metering Control in a Mixed-Autonomy Future · 2025 · Stern, Raphael et al.
194. Development and validation of diverse active human models for simulating stochastic occupant responses during pre-crash vehicle maneuvers ↗ · 2025 · Khandare, Sujata et al.
195. Calibration of the Intelligent Driver Model (IDM) at the Microscopic Level ↗ · 2025 · Vasconcelos, Luís et al.
196. Ecological Driving for Connected and Automated Vehicles Considering Driver Acceptance at Signalized Intersection in a Mixed Traffic Flow ↗ · 2025 · Wang, Xiaoliang et al.
197. CogDriver: The Longest-Running Autonomous Driving Cognitive Model Exhibits Human Factors ↗ · 2025 · Wasta, Christian et al.
198. Learning an Active Inference Model of Driver Perception and Control: Application to Vehicle Car-Following ↗ · 2025 · Wei, Ran et al.
199. The Impact of Physical Exercise on Driver Attention Reaction Time and Decision Making ↗ · 2025 · Xianyou, Yan et al.
200. A Driving Risk-Field Based Car-Following Model for Connected Autonomous Vehicles: Integrating Risk-End Crash Risk and Multi-Vehicles Dynamics ↗ · 2025 · Xue, Hengyu et al.