shrp2
SHRP2 Naturalistic Driving Study data.
1056 papers carry this dataset tag, of 5322 that declare a dataset at all (62594 papers carry any topic). Absence here means undeclared, not absent.
Where this appears in the corpus
Most common topics
- naturalistic crash near crash281
- exposure measurement191
- telematics crash prediction172
- situational awareness145
- distraction detection algorithms137
- simulator validity fidelity115
- induced exposure110
- traffic density93
- incidence prevalence92
- speed choice82
- sex gender78
- temporal69
Papers
Newest 200 shown. For the full set, or to combine this with a topic, use the catalogue search.
- Comparative Analysis of Interpretable Data‐Driven and Analytical Car‐Following Models on Highways: Robustness, Sensitivity and Transferability ↗ · 2026 · Adamidis, Filippos et al.
- Modelling driver behaviour as a continuum between defensive and neutral states ↗ · 2026 · Al-Haideri, Rulla et al.
- Comprehensive and spatially detailed passenger vehicle and truck traffic volume data for the United States estimated by machine learning. ↗ · 2026 · Antonczak, B et al.
- Impacts of different feedback features on driver behaviour: Findings from a multiphase naturalistic study ↗ · 2026 · Kontaxi, Armira et al.
- Unveiling Driver Workload Dynamics and Road Safety Risks in Assistant and Automated Driving Systems ↗ · 2026 · Bosurgi, Gaetano et al.
- How standard deviation of lane position is affected by driving environment and driver characteristics: implications for baseline driving performance ↗ · 2026 · Brown, Timothy et al.
- A Multimodal Dataset of Psychological, Physiological, and Behavioral Responses in Diverse Driving Scenarios ↗ · 2026 · Chai, Bo et al.
- Behavioral adaptation in mixed traffic: the roles of AV penetration rate and human driving style ↗ · 2026 · Chen, Haitao et al.
- Comparing Automated Driving Systems’ Safety Data with Human Benchmarks ↗ · 2026 · Chen, Joyce Jiayu et al.
- An Investigation of Drowsy Lane Departures from Driving Simulator Studies ↗ · 2026 · Schwarz, Chris et al.
- Catboost - SHapley Additive exPlanations (SHAP) car following model: Explaining model features in mixed traffic conditions ↗ · 2026 · Cui, Tianyang et al.
- Driver Behavior Profiling Through Jerk Dynamics and Statistical IMU Descriptors ↗ · 2026 · Damian, Danut Dragos et al.
- Dataset of physiological signals in the use of advanced driver assistance systems (ADAS) ↗ · 2026 · de Castro, Gabriel Martins et al.
- Do Attention-Seeking Safety Messages Shape Driver Behavior or Safety Outcomes? Evidence from Dynamic Message Signs ↗ · 2026 · Dumka, Ashutosh et al.
- MRDrive: An Open Source Mixed Reality Driving Simulator for Automotive User Research ↗ · 2026 · Ebel, Patrick et al.
- An interactive enhanced driving dataset for autonomous driving ↗ · 2026 · Feng, Haojie et al.
- Modeling Driver Lateral Control Behavior for Human--Machine Shared Takeover During Emergency Collision Avoidance Under Dynamic Traffic Environment ↗ · 2026 · Feng, Shiyong 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.
- 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.
- A Framework for Naturalistic Driving Assessment in People Living with Dementia ↗ · 2026 · Hettiarachchige, Ranuki Onara et al.
- Comprehensive image dataset of flexible pavement: Alligator cracks and edge-breaks from national highway (N6) of urban areasZenodoZenodo ↗ · 2026 · Hossain, Md. Nayem 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.
- Investigating driving behavior characteristics on freeway curves under accumulated sand environments: evidence from a driving simulator study ↗ · 2026 · Zhang, Junjie et al.
- Are Drivers More Distracted with Level 2 Automated Technologies? A Naturalistic Driving Study Analysis of Frequency, Duration, and Proportion of Time Drivers Engage in Secondary Tasks ↗ · 2026 · Klauer, Sheila 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.
- 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.
- 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.
- CoDEA: A framework for extraction and augmentation of cooperative lane-changing scenarios from naturalistic driving data ↗ · 2026 · Li, Ye 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.
- Hysteresis effect of comprehensive driving risk in highway tunnel-group: A naturalistic field test study ↗ · 2026 · Meng, Yunwei et al.
- Driving behavior recognition and scoring: A Bayesian approach to driving simulator data analytics ↗ · 2026 · Pourghasemi, Mohammad et al.
- Driving Context Sensitivity: An Endogenous Concept for Capturing Intra-driver Heterogeneity ↗ · 2026 · Mohammadian, Saeed 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.
- Driver Behavior in Mixed Traffic with Autonomous Vehicles ↗ · 2026 · Rezwana, Saki 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.
- Analysis of the influence of traffic variables on lane change manoeuvres decision-making in real-world traffic scenarios ↗ · 2026 · Sanchez-Mateo, Sofia et al.
- Dynamic Real-Time Prediction of Drivers’ Risk Perception Using Deep Learning and Driving Simulator Data ↗ · 2026 · Masud, Saumik Sakib Bin et al.
- Physical Fitness and Highway Driving Performance: Evidence from a Driving Simulator Study of Young Drivers ↗ · 2026 · Sekadakis, Marios et al.
- Driving Behavior Recognition Based on Multimodal Physiological Signals under Negative Emotion ↗ · 2026 · shao, shuyu et al.
- Subjective driving experience recorded live: A naturalistic driving approach ↗ · 2026 · Simon, Katharina et al.
- Predicting Crash Severity using Naturalistic Driving Data and Neural Networks ↗ · 2026 · Somvanshi, Shriyank et al.
- INTELLIGENT MANAGING THE DRIVING STYLE OF THE ADR DRIVER IN REAL TIME ↗ · 2026 · Stefanovic, M. et al.
- A Trajectory Data-Driven Personalized Autonomous Driving Decision System for Driving Simulators ↗ · 2026 · Sun, Wenpeng et al.
- Interactive Driving Turing Test with Think-Aloud Protocol: How Realistic Are Behavioural Driver Models? ↗ · 2026 · Tang, Tianyu et al.
- Evaluating inattention behaviour of Indian bus drivers using AI-powered driver monitoring systems ↗ · 2026 · Thakur, Dev Singh et al.
- DrivNet: Adaptive driving behavior prediction for improving the safety of multimodal transportation in autonomous vehicle systems ↗ · 2026 · Theivadas, J Robert et al.
- Evaluating Risky Driving Behavior Using a Naturalistic Driving Dataset: A Hybrid Modelling Approach ↗ · 2026 · Theodoraki, Eleni Maria et al.
- Interpretable and robust tree-based methodology for imbalanced classification in driving safety assessment ↗ · 2026 · Vannucci, Giulia 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.
- Exploring the Role of Driver Emotions and Physiology in Driving Risk Inference: A Multimodal Explainable AI Approach Using Instrumented Vehicle Data ↗ · 2026 · Vullapu, Sai Sesidhar 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.
- Contributing Factors to Lane Departure Crashes: A Data-Driven Multi-Scale Identification Approach Leveraging Heterogeneous Data ↗ · 2026 · Wang, Shuyi et al.
- Evaluating the risk factors related to alcohol-impaired driving using the SHRP 2 naturalistic driving study ↗ · 2026 · Wang, Manhua et al.
- OpenLKA: An Open Dataset of Lane Keeping Assist Systems in Real-World Driving from Recent Production Cars ↗ · 2026 · Wang, Yuhang 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.
- 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.
- Integrated Analysis of Driver Behavior during Signal Phase Transitions Using Fused Connected Vehicle Trajectory and High-Resolution Signal Event Data ↗ · 2026 · Zhang, Yuhan et al.
- Unsupervised Driving Behavior Primitive Inference via Hierarchical Segmentation and Context-Aware Clustering. ↗ · 2026 · Zhang L 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.
- 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.
- A strategic framework for road safety analysis in the connected and autonomous vehicle era ↗ · 2025 · Siddiqui, Abdul Basith et al.
- Repeated Route Naturalistic Driver Behavior Analysis Using Motion and Gaze Measurements ↗ · 2025 · Adhikari, Bikram et al.
- Findings of a large-scale European naturalistic driving study: the i-DREAMS project. ↗ · 2025 · Al Haddad, Christelle et al.
- Multi-source enriched driving behavior models A driving simulator case study in Germany ↗ · 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.
- A Multidimensional Benchmark of Public EEG Datasets for Driver State Monitoring in Brain–Computer Interfaces ↗ · 2025 · Ammar, Sirine et al.
- Incentive-Based Telematics and Driver Safety: Insights from a Naturalistic Study of Behavioral Change ↗ · 2025 · Kontaxi, Armira et al.
- A combined naturalistic driving, clinical, and neurobehavioral data set for investigating aging and dementia ↗ · 2025 · Blake, Matthew et al.
- Design and Implementation of a Multimodal Driver Data Collection and Processing Apparatus for Naturalistic Driving Scenarios ↗ · 2025 · Chen, Ke 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.
- Review and prospect of floating car data research in transportation ↗ · 2025 · Zhang, Chi et al.
- MMDrive: Multi-Modal Remote Physiological Signal Measurement Dataset for Driver Status Monitoring ↗ · 2025 · Choi, Jiho et al.
- Road design influence on driving behaviors: The influence of curve design, a case study ↗ · 2025 · Coropulis, Stefano et al.
- Lateral shifting behavior of vehicles at horizontal curves and its influencing factors: application of LightGBM and SHAP ↗ · 2025 · Debbarma, Samrat et al.
- Characterizing driver fingerprinting of new energy vehicles in risky scenarios: A naturalistic driving study ↗ · 2025 · Ding, Naikan et al.
- Characterizing Human Feedback-Based Control in Naturalistic Driving Interactions via Gaussian Process Regression with Linear Feedback ↗ · 2025 · DiPirro, Rachel 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.
- The Impact of Electrification and Partial Automation on Driver Speeding Behavior ↗ · 2025 · Gershon, Pnina et al.
- Towards Vision Zero: The Accid3nD Dataset ↗ · 2025 · Zimmer, Walter et al.
- Towards Vision Zero: The TUM Traffic Accid3nD Dataset ↗ · 2025 · Zimmer, Walter et al.
- Fatigue and Distracted Driving Recognition Method Based on Multimodal Information Fusion ↗ · 2025 · Guan, Deyong et al.
- Design and Implementation of an Instrumented Motorcycle for a Naturalistic Driving Study in Indonesia ↗ · 2025 · Halim, Winda et al.
- Exploring the Influence of Driving Context on Lateral Driving Style Preferences: A Simulator-Based Study · 2025 · Haselberger, Johann et al.
- Empirical Research for Mixed Traffic Research · 2025 · He, Dengbo 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.
- Naturalistic driving study data applied to road infrastructure: A systematic review ↗ · 2025 · Howell, Fletcher J. et al.
- Framework of Adaptive Driving: Linking Situation Awareness, Driving Goals, and Driving Intentions Using Eye-Tracking and Vehicle Kinetic Data ↗ · 2025 · Lai, Hsueh-Yi
- 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.
- Factors Affecting Driving Decisions and Vehicle Miles Traveled by Americans with Travel-Limiting Disabilities: Evidence from the 2022 National Household Travel Survey (NHTS) Data ↗ · 2025 · Ibukun, Oluwaseun et al.
- A naturalistic trajectory dataset with dense interaction for autonomous driving ↗ · 2025 · Jiang, Xiyan et al.
- Testing the Validity of Multiparticipant Distributed Simulation for Understanding and Modeling Road User Interaction ↗ · 2025 · Kalantari, Amir Hossein et al.
- Pydre: A Python package for driving simulation data reduction ↗ · 2025 · Kerwin, Thomas
- Behavioural Response to Advanced Driver Assistance System (ADAS): A Naturalistic Data Comparison Between Vietnam and Belgium ↗ · 2025 · Khattak, Muhammad Wisal et al.
- Dataset for unflappable driving: UNFLAPSet ↗ · 2025 · Kim, SuBi et al.
- Defining Preventable Boundaries in Automated Driving Systems: A Driver Behavior Model for Scenario-Based Assessments ↗ · 2025 · Kitajima, Sou et al.
- Assessing Driving Risk Level: Harnessing Deep Learning Hybrid Model With Intercity Bus Naturalistic Driving Data ↗ · 2025 · Lee, Wei-Hsun 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 Driving Behavior Characteristics at Intersections under Active Driving Guidance ↗ · 2025 · Li, Jiazhen et al.
- Identifying built environment factors influencing driver yielding behavior at unsignalized intersections: A naturalistic open-source dataset collected in Minnesota ↗ · 2025 · Li, Tianyi et al.
- Study of Driver's Perception in Driving Tasks Based on Naturalistic Driving Experiments and fNIRS Measurement ↗ · 2025 · Li, Bilu et al.
- Vehicle Trajectory Data Processing, Analytics, and Applications: A Survey ↗ · 2025 · Liu, Chenxi et al.
- SafeDriveMetrics - A Comprehensive Database for Visual, Cognitive, and Manual Distractions Using a Driving Simulator ↗ · 2025 · Mazumdar, Rahimul I. et al.
- Strategies for Improved Driver Behavior within Work Zones · 2025 · Mishra, Sabyasachee et al.
- Interpretable Quantification of Scene-Induced Driver Visual Load: Linking Eye-Tracking Behavior to Road Scene Features via SHAP Analysis ↗ · 2025 · Ni, Jie et al.
- Detection of Anomalous Driving Behavior using Vehicle Trajectory Data ↗ · 2025 · Priyanka, A. et al.
- Risk-Based Filtering of Valuable Driving Situations in the Waymo Open Motion Dataset ↗ · 2025 · Puphal, Tim et al.
- DriVQA: A gaze-based dataset for visual question answering in driving scenarios ↗ · 2025 · Rekanar, Kaavya et al.
- Aerial video & trajectory dataset of vehicles on circular road ↗ · 2025 · Riehl, Kevin et al.
- Cognitive behavior model replicates road user response timing in naturalistic rear-end traffic conflicts ↗ · 2025 · Rössert, Christian et al.
- SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-Critical Events Derived from Real-World Driving Data ↗ · 2025 · Shi, Liang et al.
- Analysis Of The Relation Between Vehicle And Physiological Data ↗ · 2025 · Sándor, Ágoston Pál
- A Naturalistic Embodied Human Multimodal Interaction Dataset: Systematically Annotated Behavioural Visuo-Auditory Cue and Attention Data ↗ · 2025 · Suchan, Jakob
- A contemporary examination of the effect of driver training for reducing crash risk in novice adolescent drivers: protocol for the DRIVER study, a random assignment trial ↗ · 2025 · Walshe, Elizabeth A. et al.
- Detecting anger-provoking events with smartphones: a naturalistic driving study ↗ · 2025 · Wang, Yi et al.
- Lane Change Inconsistencies in the highD Dataset ↗ · 2025 · Wang, Zhaohan et al.
- VTD: Visual and Tactile Dataset for Driver State and Behavior Detection ↗ · 2025 · Wang, Jie et al.
- Technical Factors Matter for Driving Behavior Analysis: Experiment and Validation ↗ · 2025 · Wei, Yao et al.
- Naturalistic driving behavior among older adults with and without epilepsy: A pilot study ↗ · 2025 · Williams, Jonathan P. et al.
- RISEE: A Highly Interactive Naturalistic Driving Trajectories Dataset with Human Subjective Risk Perception and Eye-tracking Information ↗ · 2025 · Wu, Xinzheng et al.
- Study on Driving Behavior Characteristics of Vehicles Through Curved Road Scenarios ↗ · 2025 · Xu, Chuankang et al.
- Collection duration of driving tracking data of older drivers ↗ · 2025 · Yamagishi, Misako
- Socially Adaptive Autonomous Vehicles: Effects of Contingent Driving Behavior on Drivers' Experiences ↗ · 2025 · Yang, Chishang et al.
- Evaluation of eco-driving performance of electric vehicles using driving behavior-enabled graph spectrums: A naturalistic driving study in China ↗ · 2025 · Zhang, Hui et al.
- Identifying High-Risk Situations in Right-Turn Phase of Heavy-Duty Vehicles Using Naturalistic Driving Data ↗ · 2025 · Zhang, Hedi et al.
- Understanding Health and Well-Being from Naturalistic Driving Behavior ↗ · 2025 · Zhang, Han et al.
- Corner Case Dataset for Autonomous Vehicle Testing Based on Naturalistic Driving Data ↗ · 2025 · Zhao, Jian et al.
- Behavior-Aware Knowledge-Embedded Model for Driver Attention Prediction ↗ · 2025 · Zhou, Yuchen et al.
- Driver Distraction Detection in Conditionally Automated Driving Using Multimodal Physiological and Ocular Signals ↗ · 2025 · Zhou, Yang et al.
- Real-World Data-Driven Analysis of Environment- and Context-Dependent Driving Behavior ↗ · 2025 · Zink, Christian et al.
- Modeling the influence of connected vehicles on driving behaviors and safety outcomes in highway crash scenarios across varied weather conditions: A multigroup structural equation modeling analysis using a driving simulator experiment ↗ · 2024 · Alruwaili, Abdalziz et al.
- Driver Behaviour Characterization Using an Instrumented Steering Wheel Conscious/Unconscious Muscle Activation ↗ · 2024 · Akutain, Xabier Carrera et al.
- HopInAndAction: a benchmark for action recognition in the cockpit of a self-driving car driving outdoors ↗ · 2024 · Alex-Garnier, Tristan et al.
- The Surface Accelerations Reference — A Large-scale, Interactive Catalog of Passenger Vehicle Accelerations ↗ · 2024 · Ali, Gibran et al.
- Evaluation of Eyes Off Road During L2 Activation on Uncontrolled Access Roadways · 2024 · Anderson, Gabrial T et al.
- Driving into the future: A scoping review of smartwatch use for real-time driver monitoring ↗ · 2024 · Barka, Roza Eleni et al.
- 370 An empirical analysis of driving patterns on horizontal curves using trajectory data ↗ · 2024 · Bharat Kumar Anna, VA et al.
- Modeling a Heavy-duty Vehicle Data Collection Process for Authenticating Driver Identity and Analyzing Driver Behavior Under Duress ↗ · 2024 · Biggs, Tyler et al.
- A systematic review of the use of in-vehicle telematics in monitoring driving behaviours ↗ · 2024 · Boylan, James et al.
- Public Roads Vol. 88 No. 3 · 2024 · Burklund, Lonnie et al.
- Deep learning approach for unified recognition of driver speed and lateral intentions using naturalistic driving data ↗ · 2024 · Cheng, Kun et al.
- Towards Efficient Risky Driving Detection: A Benchmark and a Semi-Supervised Model ↗ · 2024 · Cheng, Qimin et al.
- Calibration and validation of the rule-based human driver model for car-following behaviors at roundabout using naturalistic driving data ↗ · 2024 · Choi, Junhee et al.
- Investigating Visual Attention and Vehicle Dynamics: A Study of Naturalistic Lane Change ↗ · 2024 · Chu, Yuan et al.
- Horizontal Curve Safety Performance Evaluation Based on the Naturalistic Driving Study Lane Position Data · 2024 · Claros, Boris et al.
- Analysis of driving behavior on sharp curves based on latent class model ↗ · 2024 · Delin, Li et al.
- Practical Self-Supervised Contrastive Driver Maneuver Interaction Learning via Augmenting Inertial Measurement Unit Signals ↗ · 2024 · Deng, Yawen et al.
- CAN-Modes: In-vehicle datasets generation and analysis in different driving situations ↗ · 2024 · Dos Santos Roque, Alexandre et al.
- Using mobile devices for driving test assessment: a study of acceleration and GPS data ↗ · 2024 · Driessen, Tom et al.
- Modeling road user response timing in naturalistic traffic conflicts: A surprise-based framework ↗ · 2024 · Engström, Johan et al.
- Typical Acceleration and Speed Profiles for Right-Turn Maneuvers Based on SHRP2 Naturalistic Driving Data ↗ · 2024 · Flynn, Thomas I. et al.
- Towards Instrumented Fingerprinting of Urban Traffic: A Novel Methodology using Distributed Mobile Point-of-View Cameras ↗ · 2024 · Franchi, Matt et al.
- Integrated Decision and Motion Planning for Highways with Multiple Objects Using a Naturalistic Driving Study ↗ · 2024 · Gao, Feng et al.
- Learning Driver-Irrelevant Features for Generalizable Driver Behavior Recognition ↗ · 2024 · Gao, Hang et al.
- Understand Driving Behaviors Based on Comprehensive Grading System and Unsupervised Learning ↗ · 2024 · Guo, Bin et al.
- Analyzing Lane Change Execution Behavior on Expressway Using an Instrumented Vehicle: A Random Effect Accelerated Failure Time Approach ↗ · 2024 · Gupta, Akshay et al.
- Data Handling: Good Practices in the Context of Naturalistic Driving Studies ↗ · 2024 · Haddad, Christelle Al et al.
- Evaluation of the Impact of Driver Behavior on Back of Queues Events in Work Zones Using the SHRP2 Naturalistic Driving Study Data ↗ · 2024 · Hallmark, Shauna et al.
- LSTM + Transformer Real-Time Crash Risk Evaluation Using Traffic Flow and Risky Driving Behavior Data ↗ · 2024 · Han, Lei et al.
- Analysis of Driving Behaviors and Cognitive Load Impacts of Human Drivers in Connected Work Zones ↗ · 2024 · He, Liying et al.
- Characterizing Heterogeneous Car-Following Behaviors of Human Drivers in Mixed Traffic · 2024 · Sun, Meng et al.
- Analysis of Driver Aggression’s Effects on Safety-Related Microscopic Traffic Behaviors Using Driving Simulator and Surrogate Measures ↗ · 2024 · Hong, Dawei (David) et al.
- Descriptive and conceptual structure of naturalistic driving study research: A computational literature review ↗ · 2024 · Howell, Fletcher J. et al.
- Visualization Analysis of Automated Motorway Driving Studies Based on Mapping Knowledge Domain ↗ · 2024 · Hu, Shixinyue et al.
- Human-Like Behaviour for Automated Vehicles (HLB4AV) Naturalistic Driving Dataset ↗ · 2024 · Igneczi, Gergo Ferenc et al.
- Situation Awareness for Driver-Centric Driving Style Adaptation · 2024 · Haselberger, Johann et al.
- Review of driver behaviour modelling for highway on‐ramp merging ↗ · 2024 · Kherroubi, Zine el abidine et al.
- DataSet for Unflappable Driving : UNFLAPSet ↗ · 2024 · Kim, SuBi et al.
- myEye2Wheeler: A Two-Wheeler Indian Driver Real-World Eye-Tracking Dataset ↗ · 2024 · Kumar, Bhaiya Vaibhaw et al.
- A Naturalistic Driving Study for Lane Change Detection and Personalization · 2024 · Lakhkar, Radhika Anandrao et al.
- Characterizing driver behavior using naturalistic driving data ↗ · 2024 · Lee, Jooyoung et al.
- Automated Vehicles vs. Human Drivers: Modeling Driving Behavior Using Data from Field Experiments ↗ · 2024 · Li, Pei et al.
- Study on Driver Behavior Pattern in Merging Area under Naturalistic Driving Conditions ↗ · 2024 · Li, Yan et al.
- A manoeuvre indicator and ensemble learning-based risky driver recognition approach for highway merging areas ↗ · 2024 · Liu, Xingliang et al.
- An Efficient Method for Driver Abnormal Lane-Changing Identification Based on Trajectory Data ↗ · 2024 · Liu, Xu et al.
- Drivers’ engagement in NDRTs during automated driving linked to travelling speed and surrounding traffic ↗ · 2024 · Liu, Xian et al.
- Towards Modelling Distracted Human Driving: Sensor Fusion and Driver Status Monitoring in a VR Simulator ↗ · 2024 · Liu, Jiacheng et al.
- Safety Through Agility: Using Mixed Reality to Tune Shared Autonomy Systems · 2024 · Loeb, Helen
- Assessing the impact of car-following driving style on traffic conflict risk using asymmetric behavior model and explainable machine learning ↗ · 2024 · Ma, Xiao-chi et al.
- Investigating emotion fluctuations in driving behaviors of online car-hailing drivers using naturalistic driving data ↗ · 2024 · Ma, Yongfeng et al.
- Using naturalistic and driving simulator data to model driver responses to unintentional lane departures · 2024 · Svärd, Malin et al.
- Driving Simulation for Energy Efficiency Studies: Analyzing Electric Vehicle Eco-Driving With EcoSimLab and the EcoDrivingTestPark ↗ · 2024 · Gödker, Markus et al.
- Incorporating Driving Behavior Metrics Derived from Naturalistic Driving Data into Macroscopic Safety Modeling ↗ · 2024 · Medina, Juan C. et al.
- Verification and Calibration of Microscopic Traffic Simulation Using Driver Behavior and Car-Following Metrics for Freeway Segments · 2024 · Medina, Juan C. et al.
- Evaluating the Relationship Between the Driver and the Roadway to Address Rural Intersection Safety by Using SHRP2 Naturalistic Driving Study Data and the Roadway Information Database · 2024 · Oneyear, Nicole et al.
- Driving Reality vs Simulator: Data Distinctions ↗ · 2024 · Piaseczna, Natalia et al.
- Effects of Behavior-Based Driver Feedback Systems on the Speeding Violations of Commercial Long-Haul Truck Drivers ↗ · 2024 · Pradhan, Anuj K. et al.