not applicable

Paper not about automation level (most distraction/cognitive work).

3080 papers carry this automation level tag, of 8040 that declare a automation level at all (62594 papers carry any topic). Absence here means undeclared, not absent.

Where this appears in the corpus

Most common topics

Papers

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

  1. Fatal Wrong-Way Crashes on Divided Highways, United States, 2014-2023 · 2026 · AAA Foundation for Traffic Safety
  2. Changing drivers or changing systems: A review of interventions for managing driver distraction · 2026 · Abedi, Masoumeh et al.
  3. Cognitive distraction effect from non-driving related task engagement on automated vehicle occupants’ motion sickness levels · 2026 · Dam, Abhraneil et al.
  4. Driving Behavior and Safety in Autism Spectrum Disorder: A Systematic Review of Performance, Mechanisms, and Interventions · 2026 · Adavikottu, Anusha et al.
  5. Examining Drivers’ Sense of Agency When Operating Level 3 Automated Vehicles: A Driving Simulator Study · 2026 · Aiken, Heather et al.
  6. Effects of Long-Lead Monitoring Requests on Driver Trust, Forward Gaze Rate, and Takeover Performance in Level 3 Automated Driving · 2026 · Akahoshi, Sakura et al.
  7. Counteracting driver fatigue in the context of conditional automated driving: an individualized and overarching approach · 2026 · Loew, Alexandra et al.
  8. Examining the Influence of Traffic Enforcement on the Development of Traffic Safety Culture · 2026 · Laiou, Alexandra et al.
  9. NASA-TLX Workload Under SAE Level 2 and Level 3 Automation Versus Manual: A Meta Analysis approach · 2026 · Alhujailli, Ashraf
  10. Enhancing safety and workload management in eVTOL cockpits through the assessment of pilot’s perception of HMI models · 2026 · Alomar, Iyad et al.
  11. Measuring and Understanding Trust in Motion: Behavioral Archetypes in Human-Automated Guided Vehicle Interactions · 2026 · Amrollahi, Mobina et al.
  12. Exploring Temporal and Manufacturer-Specific Trends of Automated Vehicle Crashes Using Sequence of Events · 2026 · Andriola, Cesar et al.
  13. Effects of Artificial Intelligence Decision Support Systems on Operator Trust and Workload · 2026 · Apak, Si̇nan
  14. Vehicle Automation and Operator Training: A Systematic Review · 2026 · Hungund, Apoorva Pramod et al.
  15. Accident Case Study Analysis of Developmental Automated Driving System Collison · 2026 · Appicharla, Sanjeev K.
  16. Effects of directional takeover request interfaces on drivers’ gaze behaviour during transitions from automation: A systematic review and meta-analysis · 2026 · Arabian, Ali et al.
  17. Drivers and automation: a systematic review on road suitability for assisted and partially/conditionally automated vehicles · 2026 · Karimi, Arastoo et al.
  18. Empirical Modeling of rust Formation and Intervention Intention in Conditionally Automated Driving · 2026 · Asiri, Somayah et al.
  19. Technology-Driven Skill Degradation and Organizational Resilience in the Era of Automation and AI: An Integrated Systematic Review and Research Agenda · 2026 · Avery, Atiya et al.
  20. Distraction mitigation through driver monitoring systems: a scoping review · 2026 · Ayas, Suzan et al.
  21. Long-term One-year Stability of Discomfort Perception in Automated Driving and Personal Influencing Factors · 2026 · Beggiato, Matthias et al.
  22. A Virtual Human-Centered Design Method to Support New Developments in Vehicle Automation · 2026 · Bellet, Thierry et al.
  23. Graduated drivers licensing and traffic injury-attributable emergency department visits in Alberta, an interrupted time series study · 2026 · Benny, Claire et al.
  24. Do Not Adjust Your Set! How a Visual Alert Reduced Unnecessary Human Intervention in an Automated Vehicle · 2026 · Bogg, Adam et al.
  25. Effects of Road Geometry and Driving Automation on Pupil Diameter: Evidence from a Simulated Driving Study · 2026 · Bosurgi, Gaetano et al.
  26. Impact of Commercial ACC Vehicles on Traffic Stability Considering Inter-driver and Intra-driver Heterogeneity in Human-Driven Vehicles · 2026 · Bouadi, Marouane et al.
  27. Designing an advanced early warning system to detect drivers’ distraction and drowsiness – A pilot study · 2026 · Boujenfa, Sabrina et al.
  28. Looking for Trouble: Pre‐Intervention Monitoring in Human and AI Driver Training · 2026 · Broth, Mathias et al.
  29. LLMs in the Loop: A Survey of Language-Driven Driver Monitoring and Assistance Systems · 2026 · Chandrayan, Vanchha et al.
  30. A comparative study on the effects of mind-wandering, distraction, and fatigue on driving performance and physiological responses · 2026 · Chen, Jingrui et al.
  31. Comparing Automated Driving Systems’ Safety Data with Human Benchmarks · 2026 · Chen, Joyce Jiayu et al.
  32. Analysis of Situational Acceptance and Objective Indicators During Automated Driving: A Driving Simulator Study · 2026 · Li, Chenchang et al.
  33. Effects of visual warnings on guiding attention during distracted driving · 2026 · Chihara, Takanori et al.
  34. When does visual distraction become dangerous in car-following? Evidence from naturalistic driving study data with causal inference on time-to-collision and braking intensity · 2026 · Chun, Uibeom et al.
  35. Looking at Trust in Mediated Conditionally Automated Driving: Smooth vs. Close Driving Maneuvers and Initial Trust Groups · 2026 · Hollander, Cornelia et al.
  36. Assessing the Impact of an Assistive Driving Device on Mental Workload and Stress During Simulated Driving: A Multivariate Approach · 2026 · Costantini, Simone et al.
  37. The effect of prolonged conditionally automated driving on fatigue, physiological activity, and takeover performance: a driving simulator experiment · 2026 · Coyne, Rory et al.
  38. Inferring Hidden Attentional States in Driving: A Bayesian Approach to Modeling Distraction and Secondary Task Engagement. · 2026 · Dheeraj Kashyap L et al.
  39. Modelling the Dynamics of Situation Awareness Recovery: The Impact of Graded Warning Strategies in Automated Driving Takeovers · 2026 · Ding, Yaonan et al.
  40. A bibliometric review of research on driver fatigue under conditional automated driving · 2026 · Ni, Dingan et al.
  41. Adaptable and Hybrid Automation for Human–AI Task Allocation: Application to Call Center Supervision · 2026 · Donat-Bouillud, Lallie et al.
  42. Youth perspectives on distracted driving and hands-free laws · 2026 · Downer, Carson et al.
  43. Driver Risk Perception Assessment in Autonomous Takeover Scenarios Under NDRTs Immersion Based on WOA-LightGBM · 2026 · Duan, Min et al.
  44. Eyes Off the Road: Where Drivers Look When ADAS Control Authority Changes · 2026 · Ekambaram Thondaiman, Ramkumaar et al.
  45. Driver mental workload measurement trends and cognitive impacts: a literature review · 2026 · Faidah, Uyun Nadzirotul et al.
  46. Personalized Classification of Scenario-Derived Operational Driver-State Classes from Non-Intrusive Wearable Signals in Real-World SAE Level 2 Automated Driving · 2026 · Fernandez-Matellan, Raul et al.
  47. From Human Systems Integration to Human Systems Migration: First sketch from the automated driving system project MiRoVA · 2026 · Flemisch, Frank et al.
  48. A Bibliometric Review of Human Factors-Based In-Vehicle Human-Machine Interface Design · 2026 · Gao, Ya et al.
  49. Determinants of risky driving behaviors in professional bus drivers: A questionnaire investigation · 2026 · Gao, Zhibo et al.
  50. The Impact of Transition Window Duration on Nominal Transitions of Control in Conditional Automation · 2026 · Gaspar, John et al.
  51. Driver Interaction, Needs, and Preferences for Steering-Wheel HMIs: An International Survey · 2026 · Gonçalves, Micael et al.
  52. Drivers have constrained cognitive resources under cognitive and visual distraction: Safety implications for transitions of control from vehicle automation · 2026 · Gonçalves, Rafael C. et al.
  53. The Effects of Using a Virtual Agent to Signal Danger on Hazard Prediction Ability in Conditionally Automated Driving · 2026 · Goodge, Thomas et al.
  54. Eyes on the road: A bicycle simulator study of cyclists’ gaze behavior while sharing the road with autonomous vehicles across infrastructure types · 2026 · Ágoston, Sándor P. et al.
  55. How Multi-Tasking Ability Impacts Performance, Workload, Situation Awareness, Stress and Trust with Simulated Imperfect Automation. · 2026 · Greenwell-Barnden, JN et al.
  56. Influence of road scenarios and psychological factors on people’s acceptance of autonomous vehicle labelling · 2026 · He, Xiaohan et al.
  57. Training Drivers on L2 Automated Systems: A Pilot Study for Developing Effective Training that Drivers Will Use · 2026 · Linkous, Taylor Y. et al.
  58. Incorporating different phases of situation awareness information into the design of advanced takeover requests for urgent takeover scenarios · 2026 · Lai, Hsueh-Yi et al.
  59. How do drivers react to crossing pedestrians at unsignalized roads? A contrast study for naturalistic driving and dummy pedestrian test · 2026 · Huang, Xiaorong et al.
  60. Linking Oregon Driver Records and Crash Data to Evaluate Interventions and Mitigate Driver Risk · 2026 · Hurwitz, David et al.
  61. Automation Error Bias, Trust, and Dependence Behaviors in a Simulated Drone Collision Avoidance Task · 2026 · Jackson, Austin et al.
  62. How Do Drivers Interact with In-Vehicle Information Systems in Everyday Driving? Evidence from Large-Scale Naturalistic Data · 2026 · Hilbert, Jan et al.
  63. Psychological Empowerment on the Streets: Designing and Validating Multisensory Experiences in Simulated Autonomous Driving. · 2026 · Jeong E et al.
  64. Emergency Takeover Performance Evaluation of Train Operators in Semi-Automated Urban Rail Transit: An Attention-Enhanced MLP Approach · 2026 · Ji, Hangrui et al.
  65. Shift the gaze · 2026 · Illgner, Johannes et al.
  66. Asking AI About Your Car: AI-Augmented Vehicle Owner’s Manuals Support Integrated System Understanding Beyond Traditional Documentation · 2026 · Lee, Joonbum et al.
  67. Understanding Driver Responses to Automated Traffic Enforcement Systems: A Qualitative Analysis of Behavioral Adaptation and Traffic Safety Perceptions · 2026 · KABAKUŞ, Nuriye et al.
  68. Next-Generation Driver Monitoring Systems: A Review of Multimodal Detection of Distraction, Drowsiness, and Sudden Medical Conditions · 2026 · Kazum, Hasan A. et al.
  69. Towards Safer Automated Driving: Predicting Drivers with Long Takeover Time Using Random Forest and Human Factors · 2026 · Kim, Jungsook et al.
  70. Training Drivers in Advanced Driver Assistance Systems: How Training Content Shapes Driver Knowledge, Decision-Making, and Performance · 2026 · Kim, Ruby Yeeun et al.
  71. Drivers’ neglect of cyclists in right-turns—a matter of rule knowledge rather than a lack of attention · 2026 · Kircher, Katja et al.
  72. Driver Engagement and Fully Shared Longitudinal Control Insights From Real Partially Automated Vehicles · 2026 · Köning, Lukas et al.
  73. Dynamic Trust Formation in <scp>AI</scp> ‐Enabled Automation: A Longitudinal Case Study of an Advanced Driver Assistance System · 2026 · Koskinen, Kari M. et al.
  74. To Cooperate or Not to Cooperate: A Systematic Review and Meta-Analysis of Human Driving Behavior in Interactions with Autonomous Vehicles · 2026 · Kou, Yilin et al.
  75. A cross-methodological review on the safety effects of partial vehicle automation · 2026 · de Winkel, Ksander N et al.
  76. Mitigating effects of distraction: Drivers adjust speed and glance behaviour during secondary tasks in a driving simulator study · 2026 · Kummerer, Katharina et al.
  77. Keeping an Eye on Drivers: Survey Exploring Public Acceptance of Driver Monitoring Systems · 2026 · Large, David et al.
  78. Extending Human–Machine Interaction Analysis from Autonomous Driving to Manned–Unmanned Vehicle Teaming: A Function-Specific Effectiveness Framework and the Partial-Autonomy Trap · 2026 · Lee, Giwhyun et al.
  79. With a Little Help From My Car: Sharing Automated Vehicle’s Situation Awareness Reduces Driver-Initiated Automation Disengagement Without Delaying Takeover Response Time · 2026 · Lee, Joonbum et al.
  80. Physical Readiness Assessment via Enhanced 3D Pose Analysis for Accurate and Interpretable Takeover Time Prediction · 2026 · Li, Zhuo et al.
  81. Towards Safe and Comfortable Vehicle Control Transitions: A Systematic Review of Takeover Time, Time Budget, and Takeover Outcomes · 2026 · Liang, Kexin et al.
  82. A Novel Human–Machine Shared Control Strategy with Adaptive Authority Allocation Considering Scenario Complexity and Driver Workload · 2026 · Liu, Lijie et al.
  83. Driver behavioral and psychological traits as risk factors for traffic accidents: a systematic review and meta-analysis · 2026 · Liu, Yangyi et al.
  84. Impacts of risk perceptions on driver responses in assisted driving scenarios: a moderated mediation model · 2026 · Liu, Yang et al.
  85. The myth of ‘low cognitive load = low risk’: Quantifying interactive effects of phone use modes and cognitive demand on driving safety · 2026 · Liu, Xiaobing et al.
  86. What Drivers Know and Think They Know During Takeover: Effects of Spatial Risk, Temporal Risk, and NDRT on Situation Awareness · 2026 · Lo, Wei-Hsiang et al.
  87. Human-Like Attention Allocation for AV Car-Following Control in Lane-Changing Interactions · 2026 · Luo, Ying et al.
  88. Distracted Driving Behavior Recognition Through Posture Estimation · 2026 · Lv, Hui et al.
  89. Knowledge, attitudes and experience: Understanding the factors that shape ADAS use across five European Countries · 2026 · Madigan, Ruth et al.
  90. Visual attention and driving behavior of male autistic individuals while encountering driving hazards: A driving simulator study · 2026 · Mamo, Wondwesen Girma et al.
  91. Human-Machine Interaction in Teleoperated Rescue Vehicles: A Bibliometric Analysis and Systematic Review · 2026 · Man, Siu Shing et al.
  92. Cultural factors and context-specific interventions for aberrant driving behaviours in LMICs: a systematic review · 2026 · Matira, Patrick Simbarashe
  93. Human-Centred Classification of Remote Operation Intervention Scenarios for Automated Vehicles · 2026 · Medojevic, Marko et al.
  94. Mitigating Passive Fatigue in Conditional Automated Driving: Effects of Conversation tasks on Driver Arousal and Attention · 2026 · Meng, Xiao et al.
  95. A Comparative Study on Situation Awareness While Reading in a Highly Automated Vehicle · 2026 · Mirnig, Alexander G. et al.
  96. Modeling vehicle-cyclists' interactions to support automated driving and advanced driving assistance systems · 2026 · Mohammadi, Ali et al.
  97. Responsible automation. Exploring the impact of device automation on task responsibility for the task result in a field study · 2026 · Moosheimer, Elisabeth et al.
  98. Human-Centered Design for Connected Automation: Predicting Pedestrian Crossing Intentions · 2026 · Motamedi, Sanaz et al.
  99. Driver Electronic Device Use in 2024 [Traffic Safety Facts] · 2026 · NHTSA
  100. Driver Adaptation to Partially Automated Driving in Urban Environments: Effects of Repeated Exposure and System Capabilities on Drivers’ Trust, Monitoring, and Response · 2026 · Nkusi, Elena Malaika et al.
  101. Naturalistic In-Vehicle Task Engagement Across Different Designs of Partial Automation Systems · 2026 · Noonan, Thomas Z. et al.
  102. Examining the Impact of Driver Distraction on Speeding Through the Exploitation of Smartphone Sensor Data · 2026 · Papantoniou, Panagiotis et al.
  103. Context-Dependent Assessment of Driving Dynamics and User Perception in Automated Driving · 2026 · Panzer, Anna et al.
  104. When AI Behavior Contradicts Its Interface: How Users Infer Authority in Semi-Automated Driving · 2026 · Park, Jungmi
  105. Can Information Manipulation Improve Interaction Payoff? A Game-Theoretic Lane-change Decision Strategy with eHMI · 2026 · Peng, Boyao et al.
  106. An Integrated Open-Source Framework for Automated Analysis of Driver Activity, Glance, and Vehicle Automation Mode · 2026 · Sahoo, Praneet et al.
  107. RDAS: A Shared Control Strategy Considering Real-Time Driving Ability in Driver Takeover Tasks · 2026 · Qi, Zhenliang et al.
  108. Exploring Pilots' Mental Workload While Using an In‐Cabin Electronic Flight Bag for Aircraft Towing Taxi Operations · 2026 · Qin, Jiahao et al.
  109. Eye-Tracking Indices of Cognitive Load Predict Reaction Time to Urban Traffic Hazards: Machine Learning Classification and Regression Across Manual and Level 2 Assisted Driving · 2026 · Qin, Hao et al.
  110. The Impact of Partial Automation and Cognitive Load on Drivers’ Visual Search Strategies in an Urban Driving Environment · 2026 · Qin, Hao et al.
  111. When Takeovers Require Cognitive Control: Effects of Partial Automation and Cognitive Load on Driver-Initiated Responses to Traffic Hazards on Urban Roads · 2026 · Qin, Hao et al.
  112. 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.
  113. Effect of roadside billboards on driving performance: a driving simulator study · 2026 · Rao, Annamdasu Nageswara et al.
  114. Bayesian Multimodal Driver Readiness Estimation and Adaptive HMI for Safety-Critical Automated Driving · 2026 · Razm, Sobhan et al.
  115. The Influence of Repeated Hazard Exposure on Driving Behavior in a Longitudinal Driving Simulator Study · 2026 · Rundus, Christopher R. M. et al.
  116. Smartphone Addiction and Simulated Driving Safety Without Active Phone Use: A High-Fidelity Simulator Study of Attention, Vehicle Control, and Workload · 2026 · Salimipormehr, Pegah et al.
  117. Behavioral adaptation of human drivers in car-following interactions with automated vehicles · 2026 · Saljoqi, Masoud et al.
  118. Mental model evolvement during drivers' first experience with conditionally automated driving systems in real-world traffic · 2026 · Schwindt-Drews, Sarah et al.
  119. Balancing Safety, Efficiency, and Sustainability: A Survey of Modeling Tools for Autonomous Vehicles Interactions · 2026 · Sarkandi, Golnoosh et al.
  120. Dynamic Real-Time Prediction of Drivers’ Risk Perception Using Deep Learning and Driving Simulator Data · 2026 · Masud, Saumik Sakib Bin et al.
  121. Fault Condition and Familiarity Shape Evasive Performance in SAE Level 2 Driving Automation · 2026 · Schmitz, Maegan L. et al.
  122. Evaluating Driver Pedestrian Interactions Under Uncertainty:A Driving Simulator Study · 2026 · Sekeran, Maya et al.
  123. Assessment of Driver Cognitive Load in Autonomous Driving Using Extended Reality Simulation · 2026 · Hatchett, Seth et al.
  124. Driver-initiated takeover as self-regulation: A video-based study of how drivers assess automated driving situations to determine intervention needs · 2026 · Shen, Su et al.
  125. Driving Together: Intent-Aware Dynamic Authority Allocation for Shared Control · 2026 · Singh, Abhimanyu Pratap et al.
  126. Assessing the effectiveness of traffic control devices in deterring wrong-way driving by alcohol-impaired drivers: a driving simulator study · 2026 · Song, Yukun et al.
  127. Roadside advertisements and driver distraction: A comprehensive review of effects on driving performance · 2026 · Sorum, Neero Gumsar et al.
  128. Mental workload in the maritime industry: a pre-registered systematic review of influencing factors · 2026 · Staab, Verena et al.
  129. HMI Design of Intelligent Vehicles Based on Multimodal Experiments of Driver Emotions · 2026 · Sun, Tongyue et al.
  130. Drivers’ Safety Perception in Autonomous Vehicle Road Sharing: A Knowledge-Segmented TPB and Ordered Logit Analysis · 2026 · Tang, Boxin et al.
  131. Interactive Driving Turing Test with Think-Aloud Protocol: How Realistic Are Behavioural Driver Models? · 2026 · Tang, Tianyu et al.
  132. Modeling Driver-Initiated Intervention in Automated Driving: A Dual-Stage Progressive Intention-to-Action Prediction Framework · 2026 · Tang, Tianxiang et al.
  133. A Modular Multi-Stream Perception and Deterministic Fusion Framework for Takeover Prompting in Autonomous Driving · 2026 · Thakkar, Vatsal
  134. Analysis of Cross-Cultural Trust and Vehicle Operation Metrics for Self-Driving Cars · 2026 · Tolbert, Steven et al.
  135. Interaction Breakdowns Between Older Drivers and Automated-Driving Features: A Mixed-Methods HCI Analysis · 2026 · Tusti, Anannya Ghosh et al.
  136. State-of-the-art review on sustainable driving behavior: trade-offs between road safety, fuel consumption and emissions · 2026 · Petraki, Virginia et al.
  137. Driving with Influence: Exploring Crash Factors of Automated Systems in Different Roadway Contexts · 2026 · Astle, W. Abram et al.
  138. Human-technology partnerships in the era of trucking automation: Findings from a multistakeholder workshop · 2026 · Wandenkolk, Isabelle et al.
  139. A Hierarchical Shared Steering Control Strategy Based on Driver States · 2026 · Wang, Quanjin et al.
  140. A visualization-supported, hierarchical, action-learning model for driving behavior in a V2X environment · 2026 · Wang, Xuantong et al.
  141. An Empirical Model of Driver Workload Dynamics at Unsignalized Intersections · 2026 · Wang, Yiyun et al.
  142. Chain-Like Cognitive Processes in Human-Machine Co-Driving: Uncovering Causal-Chain Mechanisms of Driver Takeover Failure · 2026 · Wang, Jie et al.
  143. Cognitive Workload and Attentional Allocation in One-Pedal Driving: A Human–Vehicle Interaction Study in Dynamic Car-Following Scenarios · 2026 · Wang, Sibo et al.
  144. Evaluating the risk factors related to alcohol-impaired driving using the SHRP 2 naturalistic driving study · 2026 · Wang, Manhua et al.
  145. MILD: Mediator Agent System with Bidirectional Perception and Multi-Layered Alignment for Human-Vehicle Collaboration · 2026 · Wang, Jiyao et al.
  146. Toward Driver Stage-wise Takeover Behavior in Autonomous Driving: A Cognitive Process Modeling Approach for Adaptive Takeover Requests Design · 2026 · Wang, Jie et al.
  147. Technology Acceptance of Passive Brain-Computer Interfaces in Vehicles for Adaptive Automation · 2026 · Wehrle, Theresa et al.
  148. Cognitive Offloading or Heuristic Trust? Investigating LLM-based Agent Interaction under Varied Weather Conditions and Non-driving Related Tasks with Real-world Perception Data · 2026 · Wei, Yuhe et al.
  149. The Importance of Flexible Automation in Simulated Submarine Track Management: Balancing Performance Under Normal and Failed Conditions · 2026 · Li, Wentao et al.
  150. The “Video Game Effect” in Remote Driving: Presence Experience, Spatial Awareness, and Driving Behaviour in a Test-Track Study · 2026 · Wörle, Johanna et al.
  151. Adaptive driver-automation shared steering control methodology of intelligent vehicle based on individualized driver behaviors · 2026 · Xu, Feixiang et al.
  152. Human-ADS Collaboration in Automated HGV Operations: Part I – Revealing Divergences of LLM-simulated and Human Takeover Decision-making · 2026 · Xu, Zheng et al.
  153. Editorial to the Special Issue on Road User Interactions in the Age of Vehicle Automation · 2026 · Lee, Yee Mun et al.
  154. YOLO-Drive: Robust Driver Distraction Recognition under Fine-Grained and Overlapping Behaviors · 2026 · Yu, Zhichao et al.
  155. The Dynamics of Attention Across Automated and Manual Driving Modes: A Driving Simulation Study · 2026 · Cai, Yuan et al.
  156. Multi-dimensional shared control and its application to human-machine shared driving · 2026 · Zhang, Wen et al.
  157. The Neuroscience of (Dis)Trust: Proactive Takeovers in Human–AV Interaction · 2026 · Zhang, Yinsu et al.
  158. From Prediction to Design: Using Context-Aware Graph Neural Networks and Explainable AI to Anticipate Transfer-of-Control · 2026 · Zhao, Zhouqiao et al.
  159. Mind the Cyclist: Driver-Seat Occupant's Perceptions of Automated Vehicle's Interaction with Cyclists at Priority Intersections · 2026 · Zhao, Jinyang et al.
  160. Research on young drivers’ workload based on simulated distracted driving test · 2026 · Zhao, Xiaoping et al.
  161. Challenges for older drivers: Workload and risky behavior in simulated six-lane urban bidirectional road conflict scenarios · 2026 · Zhou, Yiwen et al.
  162. Context-Sensitive Auditory Takeover Warning Under Weather and Scenario Demands: A Driving-Simulator Study with Eye-Tracking Evidence · 2026 · Zhou, Hongmei et al.
  163. From Human Semantics to Executable Control: Driving Behavior Graph for Automated Emergency Maneuvering · 2026 · Zhu, Yixin et al.
  164. Within-Task Effects and Cross-Task Spillover of AI-Induced Risk-Taking: Evidence from Financial Investment and Autonomous Driving · 2026 · Zhu, Yi et al.
  165. A game-theoretic adaptive human-machine shared steering control method considering safety-assured conflict resolution · 2026 · Zou, Hao et al.
  166. 2024 Traffic Safety Culture Index · 2025 · AAA Foundation for Traffic Safety
  167. A Randomized Field Trial of Smartphone-Based Feedback Designed to Encourage Safe Driving: Comparing Focused and Self-Chosen Goals to Standard Usage-Based Insurance Messaging · 2025 · AAA Foundation for Traffic Safety
  168. Attitudes Towards Impaired Driving Countermeasures · 2025 · AAA Foundation for Traffic Safety
  169. Development and Validation of Messaging to Deter Cannabis Impaired Driving · 2025 · AAA Foundation for Traffic Safety
  170. Increasing the Use of Smartphone-Limiting Technology to Combat Distracted Driving · 2025 · AAA Foundation for Traffic Safety
  171. A simple model for complex technology: introducing and testing a framework to understand acceptance of shared automated vehicles · 2025 · Aasvik, Ole et al.
  172. Navigating the Intersection: How Traffic Control Types Affect Cyclist Right- of-Way using A Mixed Logit Model Analysis · 2025 · Abushattal, Mousa et al.
  173. Repeated Route Naturalistic Driver Behavior Analysis Using Motion and Gaze Measurements · 2025 · Adhikari, Bikram et al.
  174. Factors Associated with Human-Controlled Motor Vehicle Fatal Crashes in Urban Area Using Fatality Ratio · 2025 · Akuh, Raymond et al.
  175. Multi-source enriched driving behavior models A driving simulator case study in Germany · 2025 · Al Haddad, Christelle et al.
  176. How Does Adaptive Cruise Control Use Impact Driver Behaviors, Mental Models, and Trust and Perception in the System? · 2025 · Aldugom, Mary et al.
  177. Impact of free-choice non-driving related activities on driver fatigue and performance in the context of conditional automated driving · 2025 · Loew, Alexandra et al.
  178. Pedestrian and Bike Rider Crashes on National Highway: A Unique Case of Pakistan · 2025 · Ali Shah, Muhammad Zafar et al.
  179. Investigating Truck Driver Behavior under Distracted Conditions to Enhance Road Safety · 2025 · Alireza, A. et al.
  180. Trust in Level 3 Automated Vehicles: A Systematic Literature Review · 2025 · Alkurdi, Duha et al.
  181. Driving Education Advancements of Novice Drivers: A Systematic Literature Review · 2025 · Tusti, Anannya Ghosh et al.
  182. Risky Driving and Enforcement Legitimacy on Queensland Beaches: A Study of Offending and Legitimacy · 2025 · Anderson, Levi et al.
  183. How to explain technological accidents? The “Human Factor”, Social Constructivism, and the Ontological Turn in Exploring the Uncertainties of Autonomous Vehicles · 2025 · Kuznetsov, Andrey G. et al.
  184. 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.
  185. Exploring Human Abuse of Automated Vehicles: A Review Framed by Robot Abuse Research · 2025 · Preiwisch, Anna et al.
  186. Effect of blood-alcohol concentration on driving performance and accident risk with insights from a simulated driving experiment · 2025 · Apou, Arif Chowdhury et al.
  187. Effects of directional takeover request interfaces on drivers’ gaze behaviour during transitions from automation: A systematic review and meta-analysis · 2025 · Arabian, Ali et al.
  188. Comparative safety analysis of take-over control mechanisms of conditionally automated vehicles · 2025 · Karimi, Arastoo et al.
  189. Impact of take-over control mechanisms on merging operations of conditionally automated vehicles · 2025 · Karimi, Arastoo et al.
  190. Investigating Contributing Factors to Fatal Non-Intersection Crashes Involving Elderly Pedestrians Using Association Rule Mining · 2025 · Asiedu, Ernest Nsong et al.
  191. Effects of local urban characteristics and driving behaviour on injuries among pedestrians and cyclists in Malta · 2025 · Attard, Maria et al.
  192. Driving simulator study of text messaging and phone conversations: Effects of messages’ valence, drivers’ values and self-reported driving behaviors · 2025 · Austers, Ivars et al.
  193. Analyzing the Key Contributing Factors to Traffic Accidents in Jordan · 2025 · Sami Ayyad
  194. Guardian of Awake Journeys: A Real-Time Drowsiness Monitoring System for Automotive Drivers · 2025 · Babu, S. Dilli et al.
  195. Awakening the Disengaged: Can Driving-Related Prompts Engage Drivers in Partial Automation? · 2025 · Bai, Xiaolu et al.
  196. Interaction-Based Vehicle Automation Model for Intelligent Vision Systems · 2025 · Balcerek, Julian et al.
  197. In-Vehicle Virtual Agents: A Systematic Review of Anthropomorphism and Its Impacts Paper Preparation · 2025 · Ban, Gayoung et al.
  198. Speed Limitation for Remote Control of Automated Vehicles<sup>*</sup> · 2025 · Bellamri, I. et al.
  199. Regulating Teleoperation on Public Roads: Key Takeaways From an Expert Workshop · 2025 · Escher, Bengt et al.
  200. Investigating the interplay between cognitive workload and situation awareness during full driving automation · 2025 · Sahoo, P et al.