naturalistic study

Instrumented vehicles in regular use, no experimenter intervention.

2028 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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Newest 200 shown. For the full set, or to combine this with a topic, use the catalogue search.

Observing Driver Distraction Behaviors at Intersections in Calabar Metropolis, Nigeria ↗ · 2026 · A. Etika, Anderson et al.
Human Performance in Vehicle Driving · 2026 · Abendroth, Bettina et al.
Driver visual attention and in-vehicle touchscreen: the role of short training session · 2026 · Hazoor, Abrar et al.
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.
Modelling driver behaviour as a continuum between defensive and neutral states ↗ · 2026 · Al-Haideri, Rulla 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.
Effects of prescribed medical cannabis and alcohol on real-world driving performance (CAN-TRACK): a study protocol for a two-phase trial ↗ · 2026 · Arkell, Thomas R. et al.
Impacts of different feedback features on driver behaviour: Findings from a multiphase naturalistic study ↗ · 2026 · Kontaxi, Armira et al.
Long-Term Effects of Driver Feedback on Harsh Braking Behavior: Insights from Survival Models ↗ · 2026 · Kontaxi, Armira et al.
A Multimodal Dataset of Psychological, Physiological, and Behavioral Responses in Diverse Driving Scenarios ↗ · 2026 · Chai, Bo et al.
Head Scanning by Drivers With Left Homonymous Visual Field Loss: A Naturalistic Driving Pilot Study ↗ · 2026 · Choe, Seonggyu et al.
Effect of route familiarity on attentional resource allocation during real-world road driving ↗ · 2026 · Choi, Damee et al.
Supervisory Gaze Behaviour Under Different Automation Durations in Level 2 Driving: A First-Order Transition Analysis ↗ · 2026 · Chouchane, Hanna et al.
An Investigation of Drowsy Lane Departures from Driving Simulator Studies ↗ · 2026 · Schwarz, Chris et al.
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.
Adaptations of drivers’ gaze behaviour during car-following as a function of vehicle automation, duration of use and prior driving experience · 2026 · Schnebelen, Damien et al.
Dataset of physiological signals in the use of advanced driver assistance systems (ADAS) ↗ · 2026 · de Castro, Gabriel Martins et al.
Protocol for the REVELIO test-track pilot study: a randomised, controlled, single-centre trial in healthy recreational cannabis users investigating real-time in-vehicle detection of cannabis-impaired driving ↗ · 2026 · Deuber, Robin et al.
Cross-Environment Consistency of Driver Vigilance Under Visual Restriction: Eye-Tracking Evidence from Real and Simulated Driving ↗ · 2026 · Ding, Jie et al.
Vocal Instability as a Sensitive Biomarker for Driving Stress: Decoupling Cognitive Load and Environmental Friction in a Real-World Dual-Task Protocol · 2026 · Doğan, Dağhan
Distracted Drivers Differ in Infrastructure Sensitivity, Not Distraction Frequency: A Naturalistic Crosswalk Study ↗ · 2026 · Douglas, Grace et al.
Eyes Off the Road: Where Drivers Look When ADAS Control Authority Changes ↗ · 2026 · Ekambaram Thondaiman, Ramkumaar et al.
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.
Speed-dependent temporal development of driver fatigue in extra-long highway tunnels: An on-road study ↗ · 2026 · Gao, Xiao-Juan et al.
A Novel IMU-Based Aggressiveness Index for Driver Behavior Assessment Using Wearable Sensing ↗ · 2026 · Garrosa, María et al.
An EEG dataset for understanding driving expertise from naturalistic urban road experiments. · 2026 · Gong J et al.
Signal-Adaptive and Uninhibited Driver Distraction During Crosswalk Approach: Evidence from the SHRP2 Naturalistic Driving Study ↗ · 2026 · Douglas, Grace et al.
Turns and Downturns in Aging Drivers · 2026 · Hardt, Marie et al.
Supporting car-following behavior through V2V-based beyond-visual-range information display · 2026 · Gu, Feiqi et al.
A Framework for Naturalistic Driving Assessment in People Living with Dementia ↗ · 2026 · Hettiarachchige, Ranuki Onara et al.
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.
Evaluation of association between observed driving speeds and the occurrence of crashes using naturalistic driving study data ↗ · 2026 · Ivan, John N. et al.
Real-World Driving Behavior, Performance, and Risk Following Alcohol and Cannabis Use in Habitual Cannabis Users ↗ · 2026 · Jain, Sparsh et al.
How Do Drivers Interact with In-Vehicle Information Systems in Everyday Driving? Evidence from Large-Scale Naturalistic Data ↗ · 2026 · Hilbert, Jan et al.
From emotion to safety-critical events: The temporal causal pathways in naturalistic driving ↗ · 2026 · Jiang, B et al.
Naturalistic driving data can identify elevated driving risk in adults with Type 1 diabetes ↗ · 2026 · Joshi, Aparna et al.
Behavioural adaptation in Advanced Driver Assistance Systems (ADAS) use ↗ · 2026 · Kim, Soyeon et al.
Driver-Personalized Risk Assessment in Car-Following: Validation of an Optical-Flow-Based Model using SHRP 2 Naturalistic Driving ↗ · 2026 · Kondoh, Takayuki et al.
Training for the unexpected: Enhancing driver preparedness through hazard awareness. A 15-year cohort study ↗ · 2026 · Kuipers, Jorrit et al.
Can Digital Road Safety Campaigns Nudge Sustained Safer Riding? Evidence from Behavioural Segmentation of Two-Wheeler Riders using Naturalistic Riding Data ↗ · 2026 · Kurian, Georgeena 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.
Effects of Cognitive, Simulator, and Real-World Training on Novice Driver Gaze Behaviour: A Pre–Post Study ↗ · 2026 · Lawrence, Prem Sudhakar et al.
The Road to Recovery: Dose-Response Effects of CPAP on Real-World Driving Performance in Obstructive Sleep Apnoea ↗ · 2026 · Lee, Kieran O. et al.
Beyond distraction: unraveling touchscreen effects on driver takeover performance and visual attention dynamics in Level 3 automated driving ↗ · 2026 · Li, Jiateng et al.
Driving the neural exposome: Latent mobility states from naturalistic GPS data in older adults ↗ · 2026 · Li, Kenan et al.
Multimodal Phenotyping Dataset of Driving Fatigue ↗ · 2026 · Li, Jiayi 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.
<p>Alertness-Related Differences in Car-Following Strategy among Truck Drivers Based on Naturalistic Driving Data</p> ↗ · 2026 · Liu, Yang et al.
Electric Vehicles and Real-World Driving Behavior: Evidence From Register and GPS Data ↗ · 2026 · Lång, Elisabeth 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.
Video entertainment to mitigate safety risks during prolonged automated driving: Impacts on cognitive load, fatigue, and takeover performance ↗ · 2026 · Ma, Jun et al.
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.
Visual and Cognitive Demands of a Large Language Model-Powered In-vehicle Conversational Agent · 2026 · Monk, Chris et al.
Human-Centered Multi-Sensor Framework for Identifying Driving Patterns Associated with Cognitive Decline Through Quantitative Analysis · 2026 · Moshfeghi, Sonia et al.
Driver Electronic Device Use in 2024 [Traffic Safety Facts] · 2026 · NHTSA
Driving in sync? Applying the Normative Conflict Model to driver behavior ↗ · 2026 · Nicolls, Michelle et al.
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.
Naturalistic In-Vehicle Task Engagement Across Different Designs of Partial Automation Systems ↗ · 2026 · Noonan, Thomas Z. et al.
Human Behavioral Factors Influencing Speeding on a High-Risk Inter-Urban Corridor in Nigeria: Evidence for Policy Reform within a Safe System Framework ↗ · 2026 · Owonibi, Sunday et al.
Examining the Impact of Driver Distraction on Speeding Through the Exploitation of Smartphone Sensor Data · 2026 · Papantoniou, Panagiotis et al.
An Integrated Open-Source Framework for Automated Analysis of Driver Activity, Glance, and Vehicle Automation Mode ↗ · 2026 · Sahoo, Praneet et al.
Naturalistic driving data extraction and processing for studying driver head scanning behavior at intersections ↗ · 2026 · Pundlik, Shrinivas 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.
An Experimental Setup for Collecting Physiological Data from Vehicle Drivers ↗ · 2026 · Radev, Hristo et al.
Quantifying Upper Limb Movement During Naturalistic Driving: A Clinically Informed Ecological Approach ↗ · 2026 · Rankin, Carly R. et al.
Evaluation of Arizona’s statewide handheld cellphone ban using roadside observation and telematics data ↗ · 2026 · Reagan, Ian J. et al.
The Influence of Repeated Hazard Exposure on Driving Behavior in a Longitudinal Driving Simulator Study ↗ · 2026 · Rundus, Christopher R. M. et al.
A reproducible framework for road-view driver behaviour analysis using lane stability and vehicle interaction ↗ · 2026 · Sadu, Chandra Vamsi et al.
Effects of Prolonged Monotonous Driving on Lane Change Performance, Visual Attention, and Highway Control · 2026 · Sahar, Tayyaba et al.
Analysis of the influence of traffic variables on lane change manoeuvres decision-making in real-world traffic scenarios ↗ · 2026 · Sanchez-Mateo, Sofia et al.
Mental model evolvement during drivers' first experience with conditionally automated driving systems in real-world traffic ↗ · 2026 · Schwindt-Drews, Sarah et al.
A novel paradigm for identifying eye-tracking metrics associated with cognitive control during driving through MEG neuroimaging ↗ · 2026 · Seacrist, Thomas et al.
Subjective driving experience recorded live: A naturalistic driving approach ↗ · 2026 · Simon, Katharina et al.
Learning-based methods for spatial road safety analysis using in-vehicle telematics data: A systematic review ↗ · 2026 · Paradiso, Simone et al.
Exploring ADAS driver training in driving academies: Perspectives from driving instructors ↗ · 2026 · Kim, Soyeon et al.
INTELLIGENT MANAGING THE DRIVING STYLE OF THE ADR DRIVER IN REAL TIME ↗ · 2026 · Stefanovic, M. et al.
Thermal-Based Driver Monitoring in an Automotive Environment Using a Mobile Camera: A Feasibility Study ↗ · 2026 · Stoyanov, Yordan
Gaze dynamics reveal age-related physiological patterns across driving events ↗ · 2026 · Strle, Gregor et al.
Investigating the Role of Cognitive Demands and Mental Workload of Non-Professional Drivers in Japan: A Naturalistic Driving Study ↗ · 2026 · Suresh Babu, Karthik et al.
Non-Invasive Stress-Related Hormone Estimation from Vital Signals in Driving Environments ↗ · 2026 · Taniguchi, Nobuhito et al.
Sensor-Detected Differences in Behaviors of Older Drivers with Pre-MCI and Mild Cognitive Impairment vs. Unimpaired Drivers ↗ · 2026 · Tappen, Ruth M. et al.
Evaluating inattention behaviour of Indian bus drivers using AI-powered driver monitoring systems ↗ · 2026 · Thakur, Dev Singh et al.
Evaluating Risky Driving Behavior Using a Naturalistic Driving Dataset: A Hybrid Modelling Approach ↗ · 2026 · Theodoraki, Eleni Maria 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.
Effectiveness of ADAS training for young and adult drivers ↗ · 2026 · Wei, Linzhuo et al.
Driver Attention and Behavioral Anomalies Among Older and Younger Drivers During Navigation-Assisted Driving: Evidence from Real-World Eye-Tracking and Vehicle-Dynamics Data ↗ · 2026 · Wen, Ku-Lin et al.
The Role of Nonverbal Communication in Driver Yielding Behavior: A VR-Based Analysis of Pedestrian–Driver Interactions ↗ · 2026 · Won, Jinho 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 Multi-dimensional Attention-based Framework for Personalized Driver Fatigue Assessment for Proactive Commercial-vehicle Crash Prevention ↗ · 2026 · Yang, Jiayu et al.
Assessing autonomous driving performance and environmental influencing factors using real-world operational trajectory data ↗ · 2026 · Yang, Han et al.
Identification of Driving Workload in Plateau Environment: A Naturalistic Driving Study ↗ · 2026 · Yu, Aolin et al.
Modeling Driver Compliance with Eco-Routing Recommendations Using Naturalistic Smartphone Data ↗ · 2026 · Yu, Bo et al.
DriE-Cog dataset: A multimodal physiological–behavioural dataset for intelligent driving emergency response ↗ · 2026 · Zhang, Hongqiang et al.
Unsupervised Driving Behavior Primitive Inference via Hierarchical Segmentation and Context-Aware Clustering. ↗ · 2026 · Zhang L et al.
Identification of dynamic driving styles based on behavioral primitives. · 2026 · Zheng, X et al.
Understanding bias in older drivers’ self-reported driving styles using naturalistic driving data ↗ · 2026 · Zhu, Yuanfang et al.
2024 Traffic Safety Culture Index · 2025 · AAA Foundation for Traffic Safety
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
American Driving Survey: 2024 · 2025 · AAA Foundation for Traffic Safety
Increasing the Use of Smartphone-Limiting Technology to Combat Distracted Driving · 2025 · AAA Foundation for Traffic Safety
Summary of LongROAD Research on Older Drivers from the AAA Foundation for Traffic Safety: 2017–2025 · 2025 · AAA Foundation for Traffic Safety
Repeated Route Naturalistic Driver Behavior Analysis Using Motion and Gaze Measurements ↗ · 2025 · Adhikari, Bikram et al.
An Intelligent Driver Tracking and Driving Analysis Reporting System ↗ · 2025 · Akalan, Ferhat et al.
EVALUATION OF VEHICLE LATERAL POSITIONING FOR LANE-KEEPING PERFORMANCE ACROSS MULTIPLE SITES ↗ · 2025 · AL HASANAT, Haitham et al.
Findings of a large-scale European naturalistic driving study: the i-DREAMS project. ↗ · 2025 · Al Haddad, Christelle 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.
Investigating Truck Driver Behavior under Distracted Conditions to Enhance Road Safety ↗ · 2025 · Alireza, A. et al.
Mental Models in Motion: A Framework for Real-Time Evaluation of Drivers' Understanding of ADAS Features ↗ · 2025 · Alkurdi, Duha et al.
Human Factors Study to Understand Driver Behavior on Managed Lane Facilities · 2025 · Alluri, Priyanka 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.
Are Electrodermal Activity-Based Indicators of Driver Cognitive Distraction Robust to Varying Traffic Conditions and Adaptive Cruise Control Use? · 2025 · Halin, Anaïs et al.
Evaluation of Errors in Road Signs in a Long Roadwork Zone Using a Naturalistic Driving Study ↗ · 2025 · Pashkevich, Anton et al.
Driving behavior analytics: an intelligent system based on machine learning and data mining techniques ↗ · 2025 · Arabiat, Areen et al.
Incentive-Based Telematics and Driver Safety: Insights from a Naturalistic Study of Behavioral Change ↗ · 2025 · Kontaxi, Armira et al.
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.
Using mobile devices while driving and lying about it: How do drivers who lie about using mobile devices while driving think differently about what they are doing? ↗ · 2025 · Austers, Ivars et al.
Driver distraction in school zones: A roadside observational study in Canada · 2025 · Biondi, FN 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 combined naturalistic driving, clinical, and neurobehavioral data set for investigating aging and dementia ↗ · 2025 · Blake, Matthew et al.
Assessing drivers’ psychophysiological states using heart rate, electrodermal activity, and pupillometry in real-world driving ↗ · 2025 · Bosurgi, Gaetano et al.
Influence of ADAS on Driver Distraction ↗ · 2025 · Bosurgi, Gaetano et al.
Pupillometry in Driver Workload Assessment: Opportunities and Challenges ↗ · 2025 · Bosurgi, Gaetano et al.
Gamified Smartphone App Engagement: Comparative Analysis of Belgian and UK Car Drivers in the i-DREAMS Project ↗ · 2025 · Brijs, Kris et al.
Impact of naturalistic cannabis use on lateral control and speed: A driving simulator study. ↗ · 2025 · Brooks-Russell A et al.
Effects of Education on Speeding Behavior · 2025 · Brown, James L. et al.
Major depressive disorder is associated with risky driving behavior among older adults: A naturalistic study ↗ · 2025 · Carr, David et al.
Design and Implementation of a Multimodal Driver Data Collection and Processing Apparatus for Naturalistic Driving Scenarios ↗ · 2025 · Chen, Ke et al.
Longitudinal associations between plasma biomarkers and changes in naturalistic driving behaviors in older adults ↗ · 2025 · Chen, Chen et al.
Risk-Aware Car-Following Behavior Characterization in Foggy Weather on Urban Expressways Using Naturalistic Driving Data ↗ · 2025 · Chen, Yanyi et al.
Time-dependent effect of advanced driver assistance systems on driver behavior based on connected vehicle data ↗ · 2025 · Chen, Yuzhi et al.
Development of a Stability Index for Evaluating Drivers’ Psychological Stability During Truck Platooning ↗ · 2025 · Cho, Hyonbae et al.
MMDrive: Multi-Modal Remote Physiological Signal Measurement Dataset for Driver Status Monitoring ↗ · 2025 · Choi, Jiho et al.
A Two-Stage Deep Contrastive and Ensemble Framework for Early Cognitive Impairment Recognition Using Vehicle Telematics ↗ · 2025 · Moshfeghi, Sonia et al.
In-Vehicle Sensing Platform for the Inference of Older Drivers’ Mild Cognitive Condition ↗ · 2025 · Moshfeghi, Sonia et al.
The Influence of Personality Traits on Driving Behaviors in Preclinical Alzheimer Disease ↗ · 2025 · Carr, David et al.
Characterizing driver fingerprinting of new energy vehicles in risky scenarios: A naturalistic driving study ↗ · 2025 · Ding, Naikan et al.
Multi-section landscape intervention for driving fatigue in extra-long tunnels: A real-road driving study based on visual perception and adaptation ↗ · 2025 · Ding, Xu et al.
A Contextual Analysis of Driver-Facing and Dual-View Video Inputs for Distraction Detection in Naturalistic Driving Environments · 2025 · Dontoh, Anthony et al.
An Open-Road Driving Performance Task to Examine Long-Term Medical Marijuana Use and Prescription Opioid Positivity Among Adults Aged 50 Years and Older: Protocol for an Observational Trial (Preprint) ↗ · 2025 · Ennis, Nicole et al.
Assessing the Ghanaian driver's susceptibility to distraction engagement · 2025 · Sam, Enoch F.
Analysis of the distraction impact on driving performance across driving styles: A driving simulator study in various speed conditions · 2025 · Faqani, Mobina et al.
Monitoring Technologies for Truck Drivers: A Systematic Review of Safety and Driving Behavior · 2025 · Fonseca, Tiago et al.
Integrative Mobile Sensor Framework for Driver Behavior Analysis: Real-Time Monitoring of Facial and Physiological Parameters to Enhance Road Safety ↗ · 2025 · G, Manisha et al.
Assessing Risk of Collision with Fleet Telematics for Usage-Based Insurance: Case Study from South Korean Car Rental Operations ↗ · 2025 · Gentile, Davide et al.
The Impact of Electrification and Partial Automation on Driver Speeding Behavior ↗ · 2025 · Gershon, Pnina et al.
Beyond the time-on-task: an EEG-driven approach for effective physiological assessment of mental fatigue in simulated and real driving · 2025 · Giorgi, Andrea et al.
Enhancement of ADAS with Driver-Specific Gaze Profiling Algorithm—Pilot Case Study ↗ · 2025 · Gogola, Marián et al.
An Experimental Study on Drivers’ Eye Movement Behavior When Using an Automated Lane Change System ↗ · 2025 · Guan, Muhua et al.
Design and Implementation of an Instrumented Motorcycle for a Naturalistic Driving Study in Indonesia ↗ · 2025 · Halim, Winda et al.
Learning from Disengagements: An Analysis of Safety Driver Interventions During Remote Driving ↗ · 2025 · Hans, Ole et al.
Frequently Used Vehicle Controls While Driving: A Real-World Driving Study Assessing Internal Human–Machine Interface Task Frequencies and Influencing Factors ↗ · 2025 · Harms, Ilse M. et al.
Lessons in Cooperation: Driver Sentiments Toward Real-Time Advisory Systems ↗ · 2025 · Hasan, Aamir et al.
Situation Awareness for Driver-Centric Driving Style Adaptation ↗ · 2025 · Haselberger, Johann et al.
Examination of naturalistic driving behavior and risk events across concussion recovery ↗ · 2025 · Hashida, Kumiko et al.
Rule-Based Detection of Turns and Curves in Naturalistic Driving Using GPS and Gyroscope Data ↗ · 2025 · Hassanin, Omar et al.
Empirical Research for Mixed Traffic Research · 2025 · He, Dengbo et al.
The Influence of Advanced Driver Assistance Systems on Fatigue Development Among Long-Haul Truck Drivers · 2025 · Huang, Chunxi et al.
Enhanced Driver Profiling Through Clustering of Naturalistic Driving Data for Risk Evaluation and Insights ↗ · 2025 · Hermia, J. Janorious et al.
Common driving behaviors in older adults with dementia: Insights from a systematic literature review ↗ · 2025 · Hettiarachchige, Ranuki Onara et al.
Prevalence of high-risk behaviors among commercial motor vehicle drivers measured using artificial intelligence for naturalistic data collection ↗ · 2025 · Moran, Ryan et al.
A national randomized field experiment testing the impact of simulated usage-based insurance programs on driver safety ↗ · 2025 · Ebert, Jeffrey P. et al.
Naturalistic driving study data applied to road infrastructure: A systematic review ↗ · 2025 · Howell, Fletcher J. et al.
The Effect of Advanced Driver Assistance Systems on Truck Drivers’ Defensive Driving Behaviors: Insights from a Preliminary On-Road Study ↗ · 2025 · Huang, Chunxi et al.
A Dataset on Takeover during Distracted L2 Automated Driving · 2025 · Hwang, Jiwoo et al.
How to Reduce Work-Related Road Deaths? Driver Fatigue Monitoring – Case Study · 2025 · DAVIDOVIĆ, Jelica et al.
A naturalistic trajectory dataset with dense interaction for autonomous driving ↗ · 2025 · Jiang, Xiyan et al.
DashGaze: Driver Gaze Through Dashcam ↗ · 2025 · John, Thrupthi Ann et al.
Determination of Urban Emission Factors for Vehicular Tailpipe Emissions Using Driving Cycles and Cluster-Based Driver Behavior Analysis ↗ · 2025 · Kharrazian, Emad Aldin et al.
Behavioural Response to Advanced Driver Assistance System (ADAS): A Naturalistic Data Comparison Between Vietnam and Belgium ↗ · 2025 · Khattak, Muhammad Wisal et al.
A Turn in the Road: Real-life Driving Differences in Obstructive Sleep Apnoea and Excessive Daytime Sleepiness ↗ · 2025 · Lee, Kieran O. et al.
Classifying Advanced Driver Assistance System (ADAS) Activation from Multimodal Driving Data: A Real-World Study ↗ · 2025 · Lee, Gihun et al.
An Empirical Investigation of Speed Patterns on S‐Curves Using Naturalistic Driving Data and Mixed Logit Model ↗ · 2025 · Lei, Cailin et al.
Analysis of Driver Fatigue Eye Movement Characteristics Under Intelligent Supervision Environment ↗ · 2025 · Li, Xianghong
Identifying built environment factors influencing driver yielding behavior at unsignalized intersections: A naturalistic open-source dataset collected in Minnesota ↗ · 2025 · Li, Tianyi et al.
Mobile app-based study of driving behaviors under the influence of cannabis ↗ · 2025 · Li, Honglu et al.
Study of Driver's Perception in Driving Tasks Based on Naturalistic Driving Experiments and fNIRS Measurement ↗ · 2025 · Li, Bilu et al.
Decoding Driving Words: A Holistic Exploration of Older Drivers’ Early-stage ADAS Adaptation Using Structural Topic Modeling on Naturalistic Driving Data ↗ · 2025 · Liang, Dan et al.
Texting While Driving: Computerized Eye Tracking as a Method to Assess Visual Distraction During Driving Simulations ↗ · 2025 · Litwiler, Scott et al.
Characterizing Navigational Changes in Preclinical Alzheimer’s Disease: A Route Complexity Metric Derived From Naturalistic Driving Data ↗ · 2025 · Long, Kelly et al.
Temporal Analysis of Cognitive Workload During Manual and Partial Driving Automation Based on the Detection Response Task ↗ · 2025 · Mahmoodzadeh, Mobina et al.
Idaho Alive at 25 Young Driver Education Program Evaluation · 2025 · May, Matthew et al.
Driving Sustainability: Analyzing Eco-Driving Efficiency Across Urban and Interurban Roads with Electric and Combustion Vehicles · 2025 · Miqdady, Tasneem et al.
Finding windows of opportunity: How drivers adapt to partial automation safeguards over time ↗ · 2025 · Mueller, Alexandra S. et al.
Understanding school zone driving behavior using structural equation modeling based on the extended theory of planned behavior · 2025 · Khan, Muhammad Hakim et al.
Identifying Mature Driver Risk from Naturalistic Driving ↗ · 2025 · Nasr, Malak Saif El et al.
Real-World Evaluation of Driver Cognitive Load Across Traffic Conditions Using Biometric Signals ↗ · 2025 · Nava, Alicia et al.
Effects of Education on Speeding [Traffic Tech] · 2025 · NHTSA
Long-term is no term: A systematic review of learning effects and the understanding of “long-term” in the context of driver-vehicle interaction ↗ · 2025 · Nkusi, Elena Malaika et al.
Differences in gaze behavior between driving instructors and older adults during viewing of virtual reality driving videos ↗ · 2025 · Noguchi, Yuta et al.
Characteristics of real-world driving behavior in people with schizophrenia: a naturalistic study utilizing drive recorders · 2025 · Okada, Hiroki et al.
Real-time coaching programs for Manage-How-You-Drive insurance schemes: Analysis of retention after feedback removal · 2025 · Orsini, Federico et al.
Reassessing desired time headway as a measure of car-following capability: Definition, quantification, and associated factors ↗ · 2025 · Parashar, Shubham et al.
Driving into diagnosis: Leveraging high-resolution telematics and sensorimotor profiling to identify preclinical Alzheimer's disease ↗ · 2025 · Parhizi, Behdad et al.
A Taxonomy of Methods, Techniques and Sensors for Acquisition of Physiological Signals in Driver Monitoring Systems ↗ · 2025 · Petrova, Galidiya et al.
Safe Driving Is Sustainable Driving: An Interpretable Telematics Methodology ↗ · 2025 · Pinals, Lisa et al.