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2029 papers carry this method tag, of 19870 that declare a method at all (62594 papers carry any topic). Absence here means undeclared, not absent.

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Fundamental diagram parameters in mixed traffic conditions: measurement methods and models ↗ · 2026 · Das, Aathira K. et al.
Changing drivers or changing systems: A review of interventions for managing driver distraction ↗ · 2026 · Abedi, Masoumeh et al.
Driver visual attention and in-vehicle touchscreen: the role of short training session · 2026 · Hazoor, Abrar et al.
How does short training on the use of in-car touchscreen influence driving performance? insights from a driving simulator study ↗ · 2026 · Hazoor, Abrar et al.
Driving Behavior and Safety in Autism Spectrum Disorder: A Systematic Review of Performance, Mechanisms, and Interventions ↗ · 2026 · Adavikottu, Anusha et al.
Counteracting driver fatigue in the context of conditional automated driving: an individualized and overarching approach ↗ · 2026 · Loew, Alexandra et al.
Effect of Different Types of Distractions on Driving Behavior and Road Safety Using Naturalistic Driving Data Under Mixed Traffic Conditions ↗ · 2026 · Ameenuddin, Mohammed et al.
Drivers and automation: a systematic review on road suitability for assisted and partially/conditionally automated vehicles ↗ · 2026 · Karimi, Arastoo et al.
A vision-based mixed-reality framework for testing autonomous driving systems ↗ · 2026 · Argui, Imane
DriveAware: Multimodal Wearable Sensing–Based Machine Learning Approaches to Detect Driver Distraction ↗ · 2026 · Montaser, Heba et al.
Physiologically Grounded Driver Behavior Classification: SHAP-Driven Elite Feature Selection and Hybrid Gradient Boosting for Multimodal Physiological Signals ↗ · 2026 · Askari, Sahar et al.
Distraction mitigation through driver monitoring systems: a scoping review ↗ · 2026 · Ayas, Suzan et al.
Enhancing Roadway Safety through Driver-to-Driver Communication ↗ · 2026 · Bai, Sue
Tracking risk-taking behind the wheel: Which indicator of risky driving is the most useful in driving simulator studies? A pilot study. · 2026 · Baran P et al.
A Virtual Human-Centered Design Method to Support New Developments in Vehicle Automation ↗ · 2026 · Bellet, Thierry et al.
The role of take-over cue informativity in interrupted take-over requests in a semi-automated driving scenario · 2026 · Berger, Alexander et al.
Unveiling Driver Workload Dynamics and Road Safety Risks in Assistant and Automated Driving Systems ↗ · 2026 · Bosurgi, Gaetano et al.
Designing an advanced early warning system to detect drivers’ distraction and drowsiness – A pilot study ↗ · 2026 · Boujenfa, Sabrina et al.
Visual Mismatch and Adaptation Behaviour Under Unfamiliar Driving Environment: AComparative Eye-Tracking Study of Blind Spot In LHD and RHD ↗ · 2026 · Bu, Yuanyuan et al.
AI Co-Driver and AR Integration for Dynamic Emergency Navigation and Collision Avoidance · 2026 · Charissis, Vassilis et al.
A comparative study on the effects of mind-wandering, distraction, and fatigue on driving performance and physiological responses ↗ · 2026 · Chen, Jingrui et al.
Behavioral adaptation in mixed traffic: the roles of AV penetration rate and human driving style ↗ · 2026 · Chen, Haitao et al.
Mitigating aggression toward AVs in mixed traffic: Effects of automated driving styles and human driving styles ↗ · 2026 · Chen, Haitao et al.
Mitigating driver confusion and aggression in mixed traffic: Effects of V2V communication and driving style ↗ · 2026 · Chen, Haitao et al.
Toward Safety-Critical Driver-Automation Collaboration: Blending Data and Physics for Polynomials-Empowered Steering Control Systems ↗ · 2026 · Chen, Xuekuan et al.
Analysis of Situational Acceptance and Objective Indicators During Automated Driving: A Driving Simulator Study ↗ · 2026 · Li, Chenchang et al.
Small Talk, Big Impact? LLM-based Conversational Agents to Mitigate Passive Fatigue in Conditional Automated Driving · 2026 · Cockram, Lewis et al.
Assessing the Impact of an Assistive Driving Device on Mental Workload and Stress During Simulated Driving: A Multivariate Approach ↗ · 2026 · Costantini, Simone et al.
Inferring Hidden Attentional States in Driving: A Bayesian Approach to Modeling Distraction and Secondary Task Engagement. ↗ · 2026 · Dheeraj Kashyap L et al.
A bibliometric review of research on driver fatigue under conditional automated driving ↗ · 2026 · Ni, Dingan et al.
Experience-centred lens on automation surprise in non-critical automated driving: findings from an on-road WoZ study ↗ · 2026 · Dong, Haoyu et al.
Tactile manual input driver-vehicle interface enabling non-driving-related tasks and emergency braking for conditionally automated vehicles ↗ · 2026 · Dong, Yichen et al.
Representational Alignment for Multimodal Distracted Driving Detection: Parameter-efficient Adaptation of a Unified Embedding Space ↗ · 2026 · Dontoh, Anthony et al.
MRDrive: An Open Source Mixed Reality Driving Simulator for Automotive User Research ↗ · 2026 · Ebel, Patrick et al.
Monitoring Driver Attention using Virtual Reality Headsets in the CARLA Simulator ↗ · 2026 · Eduardo, García-Huerta et al.
Eyes Off the Road: Where Drivers Look When ADAS Control Authority Changes ↗ · 2026 · Ekambaram Thondaiman, Ramkumaar et al.
Sensing Technologies and Physiological Parameters for Real-Time Driver Drowsiness Detection: A Comprehensive Review. ↗ · 2026 · El Sahmarany, L et al.
Driver mental workload measurement trends and cognitive impacts: a literature review ↗ · 2026 · Faidah, Uyun Nadzirotul et al.
Real-time eco-driving strategy for intelligent connected vehicles under mixed traffic environments. ↗ · 2026 · Fan L et al.
Scenario Parameters for Fatigue Induction in Truck-Driving Simulators: A Systematic Review of Experimental Designs · 2026 · Fonseca, Tiago et al.
Effects of Viewpoint Presentation Methods on Driving Workload in Vehicle Teleoperation Systems · 2026 · Fukuzawa, Taiga et al.
Intelligent Tutoring in a Driving Simulator: Enhancing Driving Proficiency With AI-Driven Skill Assessment and Personalized Coaching Generation ↗ · 2026 · Gan, Wenbin et al.
A Bibliometric Review of Human Factors-Based In-Vehicle Human-Machine Interface Design ↗ · 2026 · Gao, Ya et al.
A Novel IMU-Based Aggressiveness Index for Driver Behavior Assessment Using Wearable Sensing ↗ · 2026 · Garrosa, María et al.
A novel EEG-driven multidimensional modelling of the Driver Performance Envelope for a user-centred human-vehicle interaction · 2026 · Giorgi, Andrea et al.
Signal-Adaptive and Uninhibited Driver Distraction During Crosswalk Approach: Evidence from the SHRP2 Naturalistic Driving Study ↗ · 2026 · Douglas, Grace et al.
A Dynamic Multi-Level Feature Alignment Method for Domain Adaptive Driver Distraction Detection ↗ · 2026 · Guo, Zizheng et al.
Multimodal TOR interfaces for L3 autonomous vehicles: a tradeoff analysis of driver trust, cognitive load, and takeover efficiency ↗ · 2026 · Guo, Qi et al.
A fatigue driving detection method based on driver posture and facial state analysis ↗ · 2026 · Hao, Yuting et al.
Design and Validation of a Driver Guidance System to Alleviate Passenger Motion Sickness · 2026 · Xie, Weiyin et al.
Driver readiness for driving abroad based on an international study of confidence behaviour and training needs ↗ · 2026 · He, Peiwen et al.
Understanding the risk factors of driving dilemmas at urban tunnel exits adjoining diverging areas: A naturalistic study ↗ · 2026 · He, Shiming et al.
Implicit Driving Cues for Coordinating Actions When Sharing Spaces ↗ · 2026 · Hensch, Ann-Christin et al.
Driving style characteristics and user discomfort in urban automated driving: Insights from a context-based comfort dynamics analysis ↗ · 2026 · Hentschel, M. et al.
A Framework for Naturalistic Driving Assessment in People Living with Dementia ↗ · 2026 · Hettiarachchige, Ranuki Onara et al.
Incorporating different phases of situation awareness information into the design of advanced takeover requests for urgent takeover scenarios ↗ · 2026 · Lai, Hsueh-Yi et al.
Improvement and Calibration of Driving Safety Field Model: Resolving Risk Characterization Mismatches ↗ · 2026 · Hu, Yanting et al.
SAFE-Drive: A Synergistic Adaptive Fusion Framework for Multimodal Driver Emotion Recognition in Real Driving Scenarios ↗ · 2026 · Huang, Yaning et al.
Human Confusion Recognition Techniques: Measurements, Algorithms, and Future Research Directions for Automated Driving ↗ · 2026 · Huo, Hao et al.
The Interaction of Navigation and Music in Shaping Driver Behavior and Cognitive Load: A Simulation Study Under Urban Driving Conditions ↗ · 2026 · Huo, Yihe et al.
Engine sounds reflect a racecar driver’s cognition · 2026 · Singh, Jaskeerat et al.
Psychological Empowerment on the Streets: Designing and Validating Multisensory Experiences in Simulated Autonomous Driving. ↗ · 2026 · Jeong E et al.
Asking AI About Your Car: AI-Augmented Vehicle Owner’s Manuals Support Integrated System Understanding Beyond Traditional Documentation ↗ · 2026 · Lee, Joonbum et al.
Next-Generation Driver Monitoring Systems: A Review of Multimodal Detection of Distraction, Drowsiness, and Sudden Medical Conditions ↗ · 2026 · Kazum, Hasan A. et al.
Detection of Fine-grained Driver Cognitive Responses for Cross-subject Deep Learning Framework ↗ · 2026 · Kim, Ah-Hyun et al.
A cross-methodological review on the safety effects of partial vehicle automation ↗ · 2026 · de Winkel, Ksander N et al.
Predictive Driver Monitoring Using Multimodal AI for Road Safety ↗ · 2026 · Kumar, Arvind et al.
Effects of acute or cumulative 8-hour sleep loss on simulated driving in a naturalistic, monotonous night-time setting: a randomized, controlled, crossover trial · 2026 · Lakämper, Stefan et al.
Countermeasures for Driver Passive Fatigue: A Systematic Review and Meta-Analysis ↗ · 2026 · Li, Yujin et al.
Eye-Tracking-Based Evaluation of Cognitive Style and Driving Task Effects on AR-HUD Navigation Interfaces ↗ · 2026 · Li, Jing et al.
MFCA-Net: A Multimodal Fusion Framework with Collaborative Attention for Driver Behavior Recognition ↗ · 2026 · Li, Mingyang et al.
Physiological Assessment of Driver Trust in Automated Vehicles under Distinct Driving Styles · 2026 · Li, Yizheng et al.
Short-Term Performance of Visual Attention Prompt Methods Across Driver Proficiency in a Driving Simulator ↗ · 2026 · Liang, Jinwei et al.
The Influence of Graphic Elements on Inattentional Blindness in Augmented Reality Head-Up ↗ · 2026 · Liang, Ruike et al.
A MULTIMODAL DRIVER-SAFETY SYSTEM TO SUPPORT TEEN DRIVERS USING COMPUTER VISION AND SENSOR FUSION ↗ · 2026 · Liu, Max et al.
Characterizing Driver Behavior during Emergency Vehicle Encounters: An Application of a VR Driving Simulator with Integrated Eye-Tracking ↗ · 2026 · Liu, Lanmin et al.
Research on Distracted and Fatigue-Related Driving Behavior Detection Based on YOLOv12-LAD ↗ · 2026 · Liu, Xiyao et al.
Distracted Driving Behavior Recognition Through Posture Estimation ↗ · 2026 · Lv, Hui et al.
A Survey and Empirical Benchmarking of Grading Methods for Interactive Autonomous Driving Scenarios ↗ · 2026 · Ma, Runpu et al.
Research on Distracted Driving State Recognition and Its Impact Using an Ensemble Learning Model Based on Multimodal Information Fusion ↗ · 2026 · Ma, Dezhong et al.
The Chain of Visual Factors, Visual Characteristics, and Driving Behavior at Highway Tunnel Entrances ↗ · 2026 · Ma, Yanpeng et al.
Mind on the Wheel: EEG and Telematics Fusion for Emotion-Aware Driver State Classification ↗ · 2026 · Madhuri, Ch. Raga et al.
Which method do you prefer to calm down? Evaluating multimodal anger regulation in autonomous driving ↗ · 2026 · Maillant, Jordan et al.
Visual exploration strategies of experienced and non-experienced drivers during the takeover of an automated vehicle ↗ · 2026 · Maëlle, Pelerin et al.
Teaching Multimodal Interaction in Cars to First-time Users · 2026 · Marinissen, Thomas et al.
The effect of navigation modalities on driver performance, workload and user experience: a simulator study · 2026 · Norell, Marius Brudvik et al.
Cultural factors and context-specific interventions for aberrant driving behaviours in LMICs: a systematic review ↗ · 2026 · Matira, Patrick Simbarashe
Mechanisms of Driver Decision‐Making in Informal Mixed Urban Traffic: A Naturalistic Study in Kinshasa (DRC) ↗ · 2026 · Mbula, Roméo Muselefu et al.
Hysteresis effect of comprehensive driving risk in highway tunnel-group: A naturalistic field test study ↗ · 2026 · Meng, Yunwei et al.
Clustering Roadway Departures from Impaired Driving Studies using Derived Features and Shape-Based Methods ↗ · 2026 · Miller, Ryan et al.
Driving Context Sensitivity: An Endogenous Concept for Capturing Intra-driver Heterogeneity ↗ · 2026 · Mohammadian, Saeed et al.
Advanced Driver Safety: A Steering Wheel Prototype for Real-Time Physiological and Kinematic Monitoring ↗ · 2026 · Šmondrk, Maroš et al.
Human-Centered Multi-Sensor Framework for Identifying Driving Patterns Associated with Cognitive Decline Through Quantitative Analysis · 2026 · Moshfeghi, Sonia et al.
Clustering-Based Detection of Driver Drowsiness with Ear-EEG ↗ · 2026 · Mutlu, Eray et al.
Naturalistic In-Vehicle Task Engagement Across Different Designs of Partial Automation Systems ↗ · 2026 · Noonan, Thomas Z. et al.
Driver Cognitive, Emotional, and Behavioral Responses to Single-Day Highway Work Zones with Unexpected Lane Hazards · 2026 · Pretto, Paolo et al.
Takeover Response Time Prediction Model Based on Observable Behavior ↗ · 2026 · Qian, Tianyi et al.
Research on the impact of driving environment complexity on driving safety based on Driver Sky View Index (DSVI). · 2026 · Quan, L et al.
Evolutionary-Optimized Multimodal Driver RiskAssessment Using DE-Enhanced Cross-AttentionFusion of EEG and Telematics · 2026 · Raga Madhuri, Ch et al.
Comprehensive Review of Driver Behaviour Studies in Traffic Safety Research · 2026 · rapri, Priyanka
Bayesian Multimodal Driver Readiness Estimation and Adaptive HMI for Safety-Critical Automated Driving ↗ · 2026 · Razm, Sobhan et al.
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.
From distraction to support: evolving perspectives on driver attention support and the case for a holistic, context-aware framework ↗ · 2026 · Reimer, Bryan et al.
Driver Behavior in Mixed Traffic with Autonomous Vehicles ↗ · 2026 · Rezwana, Saki et al.
Driving Behavior Modelling with Graph Attention Networks ↗ · 2026 · Salunke, Omkar
A novel paradigm for identifying eye-tracking metrics associated with cognitive control during driving through MEG neuroimaging ↗ · 2026 · Seacrist, Thomas et al.
Investigating the impact of driving workload on fatigue and performance for the purpose of road safety · 2026 · Serra, Patrizia et al.
Preventive Driver Analysis System for Highway Hypnosis ↗ · 2026 · Sevdik, Bilge
Dimensional Emotion-Guided Conditional Modulation for Context-Aware Multimodal Driver Affect Recognition ↗ · 2026 · Shen, Wei et al.
Modeling takeover decisions in driving automation: a multilevel drift–diffusion model (MDDM) framework integrating human, system, and environmental factors ↗ · 2026 · Sheng, Youyu et al.
Subjective driving experience recorded live: A naturalistic driving approach ↗ · 2026 · Simon, Katharina et al.
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.
Roadside advertisements and driver distraction: A comprehensive review of effects on driving performance ↗ · 2026 · Sorum, Neero Gumsar et al.
Gaze dynamics reveal age-related physiological patterns across driving events ↗ · 2026 · Strle, Gregor et al.
HMI Design of Intelligent Vehicles Based on Multimodal Experiments of Driver Emotions ↗ · 2026 · Sun, Tongyue et al.
Scenario-Driven Reinforcement Learning Method for Autonomous Driving Inspired by Item Response Theory ↗ · 2026 · Sun, Chengju et al.
Task-Based AR-HUD in Autonomous Driving: Enhancing Driver Agency, Engagement, Attention, and Takeover Performance · 2026 · Sun, Bingxin et al.
Drivers’ Safety Perception in Autonomous Vehicle Road Sharing: A Knowledge-Segmented TPB and Ordered Logit Analysis ↗ · 2026 · Tang, Boxin et al.
Interactive Driving Turing Test with Think-Aloud Protocol: How Realistic Are Behavioural Driver Models? ↗ · 2026 · Tang, Tianyu et al.
METHODS OF RESEARCHING THE HUMAN FACTOR IN THE MARITIME INDUSTRY ↗ · 2026 · Tyron, O.M. et al.
Fusion-Drive AI: A Real-Time Multimodal Driver and Road Monitoring System ↗ · 2026 · Umasankar, G.
Interpretable and robust tree-based methodology for imbalanced classification in driving safety assessment ↗ · 2026 · Vannucci, Giulia et al.
Adapting hazard perception testing to the Czech driving context: a comparison of hazard perception paradigms in differentiating driver experience and collision history ↗ · 2026 · Ventsislavova, Petya et al.
State-of-the-art review on sustainable driving behavior: trade-offs between road safety, fuel consumption and emissions ↗ · 2026 · Petraki, Virginia et al.
A Study on the Correlation Between Driving Behavior and ECG Data in Driving Fatigue. ↗ · 2026 · Wang J et al.
A visualization-supported, hierarchical, action-learning model for driving behavior in a V2X environment ↗ · 2026 · Wang, Xuantong et al.
Cognitive Workload and Attentional Allocation in One-Pedal Driving: A Human–Vehicle Interaction Study in Dynamic Car-Following Scenarios ↗ · 2026 · Wang, Sibo et al.
From Awareness to Intent: Mitigating Silent Driving System Failures through Prospective Situation Awareness Enhancing Interfaces · 2026 · Wang, Jiyao et al.
Human factors configurations of driver maladaptation in urban rail accidents: An fsQCA-based analysis ↗ · 2026 · Wang, Yiting et al.
The Role of Nonverbal Communication in Driver Yielding Behavior: A VR-Based Analysis of Pedestrian–Driver Interactions ↗ · 2026 · Won, Jinho et al.
Evaluating active driver intervention strategies in sequential conflict scenarios: a counterfactual reasoning-based framework ↗ · 2026 · Xie, Shuke et al.
Unsupervised Identification of Driving Styles from Naturalistic Driving Data Through a Context-Normalized Framework ↗ · 2026 · Xu, Cunzhi et al.
Finding Workload in the Wild: Recovering Latent Cognitive Dynamics Jointly from Eye Metrics and Driving Telemetry ↗ · 2026 · Yamashita, Jumpei et al.
A Two-Stage Driving-Style-Stratified Framework for Analyzing and Predicting Car-Following Conflict Risk in Mixed Traffic ↗ · 2026 · Yang, Manli et al.
Driver behavior analysis at alternative intersection corridors through driving simulator ↗ · 2026 · Yang, Guangchuan et al.
Proactive Longitudinal Control to Assist Lane Changes of Human-Driven Vehicles in Mixed Traffic: Human-Emulation Approach · 2026 · Liu, Yongyang et al.
Effect of a simulator-based safe driving intervention method on older driver's behavior at unsignalized intersections: A preliminary study ↗ · 2026 · Yoshitake, Hiroshi et al.
The Dynamics of Attention Across Automated and Manual Driving Modes: A Driving Simulation Study ↗ · 2026 · Cai, Yuan et al.
Assessing Driver Distraction From Unmanned Aerial Vehicles and Under‐Bridge Inspection Trucks: A Driving Simulator Study Using Eye Tracker and EEG ↗ · 2026 · Kusha, Zainab Afzali et al.
Advancements and Insights in Assessing Cognitive Load During Driving: A Comprehensive Narrative Review ↗ · 2026 · Zhang, Peijiang et al.
Effects of directional TOR interfaces on takeover performance: A protocol for a systematic review and meta-analysis · 2026 · Zhang, Wei et al.
Multi-dimensional shared control and its application to human-machine shared driving ↗ · 2026 · Zhang, Wen et al.
Unsupervised Driving Behavior Primitive Inference via Hierarchical Segmentation and Context-Aware Clustering. ↗ · 2026 · Zhang L et al.
Dangerous driving behavior detection method in vehicle intelligent cockpit based on transwindow multimodal fusion ↗ · 2026 · Zhao, Minghui et al.
Identification of dynamic driving styles based on behavioral primitives. · 2026 · Zheng, X et al.
Acceptability and perceived safety of automated vehicle driving styles in mixed-autonomy traffic: Insights from driver-AV interaction ↗ · 2026 · Zhou, Lin et al.
AN INTELLIGENT DRIVING SIMULATION SYSTEM TO IMPROVE HAZARD RESPONSE TRAINING USING UNITY, LOGITECH WHEEL INPUT, AND LLM APIS ↗ · 2026 · Zhou, Haoran et al.
Exploring the heterogeneous relationship between abnormal driving events and freeways crash risk: A two stage analysis framework integrating causal inference and random parameters logit ↗ · 2026 · Zhou, Mo et al.
Hybrid-Aligned Domain Adaptation for Driver Distraction Recognition ↗ · 2026 · Zhou, Ximing et al.
Design a Driver Fatigue Intelligent Monitoring Cap Based on the Fusion of EEG and Blink Signals ↗ · 2026 · Rui Zhu et al.
Explicit and implicit HMI for tunnel blind spot: insights from a naturalistic driving experiment ↗ · 2026 · Zhu, Beining et al.
Exploring Research Trends in Mixed Traffic Flow Simulation by Bibliometric Analysis ↗ · 2026 · Du, Zitao et al.
Review of: "Can Human Drivers and Connected Autonomous Vehicles Co-exist in Lane-Free Traffic? A Microscopic Simulation Perspective" · 2025 · Bakibillah, A. S.M.
Driving with Partial Driving Automation Systems: Developing Effective Training that Drivers Will Use · 2025 · AAA Foundation for Traffic Safety
Effects of Training Content and Approach on Drivers’ Understanding of and Performance with Advanced Driver Assistance Systems · 2025 · AAA Foundation for Traffic Safety
A scoping review of women's experiences and barriers in automated vehicle research. · 2025 · Abusafia, AHA et al.
Multi-source enriched driving behavior models A driving simulator case study in Germany ↗ · 2025 · Al Haddad, Christelle et al.
Virtual Reality for Autonomous Vehicles: A Review of Safety, Training, and Human–Machine Interaction ↗ · 2025 · Aldoski, Ziyad N.
Revolutionizing predictive analytics: A hybrid CNN‐LSTM approach to predicting cognitive status using driving behavior analysis ↗ · 2025 · Al‐Hammadi, Noor et al.
Leveraging Naturalistic Driving Digital Biomarkers for Early Mild Cognitive Impairment Detection: Deep Learning Strategies (Preprint) ↗ · 2025 · Al-Hindawi, Firas et al.
Multimodal Fusion of Heart Rate and Gaze Data For Real-Time Driver Monitoring in Naturalistic Driving ↗ · 2025 · Alhumaily, Basim et al.
A Driving Simulator-Based Assessment of Traffic Calming Measures at High-to-Low Speed Transition Zones · 2025 · Pirdavani, Ali et al.
Gateway Design for Transition from High-Speed to Low-Speed Areas: A Driving Simulator Study · 2025 · Pirdavani, Ali et al.
The Impact of Perceptual Road Markings on Driving Behavior in Horizontal Curves: A Driving Simulator Study · 2025 · Pirdavani, Ali et al.
Mental Models in Motion: A Framework for Real-Time Evaluation of Drivers' Understanding of ADAS Features ↗ · 2025 · Alkurdi, Duha et al.
Your Interface, Your Control: Adapting Takeover Requests for Seamless Handover in Semi-Autonomous Vehicles · 2025 · Gomaa, Amr et al.
Driving Education Advancements of Novice Drivers: A Systematic Literature Review · 2025 · Tusti, Anannya Ghosh et al.
Influence of MPC Based Driver Types on the Energy Consumption of Battery Electric Vehicles ↗ · 2025 · Konzept, Anja et al.
A Model for the Crash Occurrence in Unexpected Incidents ↗ · 2025 · Anna, Pouliou et al.
Impact of take-over control mechanisms on merging operations of conditionally automated vehicles ↗ · 2025 · Karimi, Arastoo et al.
Predicting Driving State, Intent to Merge and Working Memory Load from Eye-Tracking Data Collected in a Driving Simulator Study ↗ · 2025 · Arndt, Rimo Aron
Multitasking: does task-switching add to the effect of dual-tasking on everyday-like driving behavior? ↗ · 2025 · Asuako, Piesie A. G. et al.
Awakening the Disengaged: Can Driving-Related Prompts Engage Drivers in Partial Automation? ↗ · 2025 · Bai, Xiaolu et al.
Stackelberg Game Based on Trajectory Prediction for Lane Change in Mixed Traffic ↗ · 2025 · Shi, Baichuan et al.
Quantifying truck crash risk under the combined effects of multi-type aberrant driving behaviors: Two probabilistic approaches ↗ · 2025 · Baikejuli, Muladi et al.
Assessing Perceived Safety of Non Motorized Travel with Virtual Reality · 2025 · Balali, Vahid et al.
Leveraging the Wizard of Oz Method for Stimulating Design: Benefits and Challenges From an Application Case Study ↗ · 2025 · Baudoux, Gaëlle et al.
Quo-Vadis Multi-Agent Automotive Research? Insights from a Participatory Workshop and Questionnaire ↗ · 2025 · Bazilinskyy, Pavlo et al.
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.
A Taxonomy and Review of Algorithms for Modeling and Predicting Human Driver Behavior · 2025 · Bhattacharyya, Raunak et al.
The distraction potential of driving a partially automated vehicle through a construction zone · 2025 · Biondi, F et al.
Effect of Partially Automated Driving on Mental Workload, Visual Behavior and Engagement in Nondriving-Related Tasks: A Meta-Analysis · 2025 · Vasta, N et al.
A Framework for Multi-Modal Driving Style Recognition Using Self-Supervised Contrastive Learning ↗ · 2025 · Boboc, Răzvan Gabriel et al.
Gamified Smartphone App Engagement: Comparative Analysis of Belgian and UK Car Drivers in the i-DREAMS Project ↗ · 2025 · Brijs, Kris et al.
Augmented Information in the Driving Environment: Increasing Pedestrian Safety with Augmented Reality Indicators for Older Adult Drivers in Maine · 2025 · Brown, Justin R. et al.
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.
Optimized driver fatigue detection method using multimodal neural networks · 2025 · Cao, Shengli et al.
SAFE-D: A Spatiotemporal Detection Framework for Abnormal Driving Among Parkinson's Disease-like Drivers · 2025 · Cao, Hangcheng et al.
A behavioral inoculation method to improve critical takeover performance of novice drivers in conditionally automated driving ↗ · 2025 · Chai, Chen et al.
Dynamic Optimization of Adaptive Vehicle Lighting Systems: A Multimodal Assessment of Driver Performance and Well-being · 2025 · Chai, Ruizhuo et al.
Emotion-Aware Autonomous Driving: A VR-Based Multimodal Analysis Using Gaze and Physiological Signals ↗ · 2025 · Chang, Mi et al.
Gaze Entropy and Driver Safety: Understanding Cognitive Failure and Situational Response Before Take-over ↗ · 2025 · Chang, Mi et al.
Design and Implementation of a Multimodal Driver Data Collection and Processing Apparatus for Naturalistic Driving Scenarios ↗ · 2025 · Chen, Ke et al.
Flow or Distraction? Exploring Multimodal Patterns of Driver States in Automated Driving ↗ · 2025 · Chen, Pei-Ru et al.
An Open-Source Platform for Integrated Visualization, Analysis of Vehicle Dynamics and Driving Style ↗ · 2025 · Colmenares, Jon Ander Ruiz et al.
Road design influence on driving behaviors: The influence of curve design, a case study ↗ · 2025 · Coropulis, Stefano et al.
From Dashboards to Dialogue: Evaluating a Conversational AI Coach for Performance Driving Skill Development ↗ · 2025 · Costa, Jean et al.
VALIDATION OF THE DRIVER BEHAVIOUR QUESTIONNAIRE OF DRIVERS IN BULGARIA · 2025 · Iliev, D. et al.
Task Decomposition for Learning Advanced Driving Skills ↗ · 2025 · Dallas, James et al.
Current Status and Challenges in Usability Evaluation Research on Human–Machine Interaction in Intelligent Vehicles: A Systematic Review ↗ · 2025 · Zhou, Datao et al.