100 car study

VTTI 100-Car Naturalistic Driving Study.

421 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

Papers

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

Exploring Temporal and Manufacturer-Specific Trends of Automated Vehicle Crashes Using Sequence of Events ↗ · 2026 · Andriola, Cesar et al.
SAE Level 2 ADAS Performance in Specific Crash-Imminent Scenarios ↗ · 2026 · Beale, Gregory et al.
Seeing Through the Leading Vehicle via Rear-Facing eHMIs – An On-Road Study ↗ · 2026 · Gu, Feiqi et al.
Driving risk emerges from the required two-dimensional joint evasive acceleration · 2026 · Cheng, Hao et al.
Evaluating Harsh Braking Events as a Surrogate Measure of Crash Risk Using Connected-Vehicle Telematics ↗ · 2026 · Hossain, Md Tufajjal et al.
From emotion to safety-critical events: The temporal causal pathways in naturalistic driving ↗ · 2026 · Jiang, B et al.
Classifying interaction patterns of powered two-wheelers during severe conflicts with cars at intersections: a naturalistic driving data study ↗ · 2026 · Liu, Zhenyuan et al.
Comprehensive Review of Driver Behaviour Studies in Traffic Safety Research · 2026 · rapri, Priyanka
Validation and Analysis of Real-World Traffic Accident Black Spots in a Driving Simulator Environment ↗ · 2026 · Unsalan, Kevser et al.
Crash Pattern Heterogeneity in Automated Vehicles Across Varying Levels of Automation · 2026 · Usman, Sheikh Muhammad
Driving with Influence: Exploring Crash Factors of Automated Systems in Different Roadway Contexts ↗ · 2026 · Astle, W. Abram et al.
Understanding Driving Behaviors and Traffic Crashes among University Commuter Drivers ↗ · 2025 · Alshehri, Abdulaziz H.
Evaluation of the human interaction with automated vehicles on highways · 2025 · Chand, Cadell et al.
Unlocking Forensics Data for Vehicles Involved in Motor Vehicle Crashes · 2025 · Grasso III, Charles et al.
Analysis of Contributing Factors in Crashes Involving Electric Vehicles and Vehicles with Automated Features · 2025 · Harper, Corey et al.
Investigating the Interrelationships among Factors Associated with Automated Vehicle Crashes Using Analytic Hierarchy Process · 2025 · Huang, Chunxi et al.
Safety of Mixed Traffic · 2025 · Huang, Chunxi et al.
Examination of General Motors Super Cruise system field effects using state police report crash data ↗ · 2025 · Leslie, Andrew J. et al.
Driving Risks and Behavior by Speed Zone ↗ · 2025 · Niimi, Yoshihiro et al.
An Investigation of the Factors Surrounding Crashes and Near — Crashes of ADAS-Equipped Vehicles · 2025 · Reyes, Michelle L. et al.
Development and validation of diverse active human models for simulating stochastic occupant responses during pre-crash vehicle maneuvers ↗ · 2025 · Khandare, Sujata et al.
Exploring Relationships Between Crash Patterns and Vehicle Fleet Age: Are There Empirical Clues in Favour of Partial Driving Automation? ↗ · 2025 · Vittorio, Ranieri et al.
The impact of the following vehicles behaviors on the car following behaviors of the ego-vehicle · 2025 · Liu, Yang et al.
Methodological challenges of scenario generation validation: A rear-end crash-causation model for virtual safety assessment ↗ · 2024 · Bärgman, Jonas et al.
Autonomous Vehicle Safety: A Comprehensive Analysis of Crash Injury Determinants ↗ · 2024 · Channamallu, Sai Sneha et al.
Estimating the Effects of Vehicle Automation and Vehicle Weight and Size on Crash Frequency and Severity: Phase 1 · 2024 · Harper, Corey et al.
Self-Perception Versus Objective Driving Behavior: Subject Study of Lateral Vehicle Guidance · 2024 · Haselberger, Johann et al.
A comparison of patterns and contributing factors of ADAS and ADS involved crashes · 2024 · Yan, Song et al.
Characteristics of Rear-End Collisions: A Comparison between Automated Driving System-Involved Crashes · 2024 · Huang, Chunxi et al.
The Impact of Line-of-Sight and Connected Vehicle Technology on Mitigating and Preventing Crash and Near-Crash Events ↗ · 2024 · Herbers, Eileen et al.
The role of driver head pose dynamics and instantaneous driving in safety critical events: Application of computer vision in naturalistic driving ↗ · 2024 · Khattak, Zulqarnain H. et al.
A Naturalistic Driving Study for Lane Change Detection and Personalization · 2024 · Lakhkar, Radhika Anandrao et al.
Using naturalistic and driving simulator data to model driver responses to unintentional lane departures · 2024 · Svärd, Malin et al.
Assessment of Pedestrian Safety and Driver Behavior Near an Automated Vehicle · 2024 · Morris, Nichole L. et al.
How would autonomous vehicles behave in real-world crash scenarios? ↗ · 2024 · Zhou, Rui et al.
Shared Control Up To The Limits of Vehicle Handling ↗ · 2024 · Talbot, John et al.
Modeling Lead-Vehicle Kinematics for Rear-End Crash Scenario Generation ↗ · 2024 · Wu, Jian et al.
Unveiling pre-crash driving behavior common features based upon behavior entropy ↗ · 2024 · Xie, Ning et al.
Post Take-Over Performance Varies in Drivers of Automated and Connected Vehicle Technology in Near-Miss Scenarios · 2024 · Yamani, Yusuke et al.
Driver Behavior in Response to Forward Collision Warnings Considering Driving Context ↗ · 2024 · Zhao, Zhouqiao et al.
Modeling and Analysis of Microscopic Risk Avoidance Behavior of Homogeneous Driver Groups Under Risk Scenarios ↗ · 2024 · Zheng, Lili et al.
Factors That Affect Drivers’ Perception of Closing and an Immediate Hazard · 2023 · Weaver, Bradley W. et al.
Human Factors of Driving Automation: Evasive Maneuver Event Response Evaluation · 2023 · Britten, Nicholas N et al.
Modeling Naturalistic Driving Environment with High-Resolution Trajectory Data · 2023 · Feng, Shuo et al.
Evaluation of intersection crashes using naturalistic driving data through the lens of future I-ADAS ↗ · 2023 · Galloway, Andrew J. et al.
Exploratory Analysis of Automated Vehicle Crashes Using an NLP Pipeline ↗ · 2023 · Jayaraman, Suresh Kumaar et al.
Comparison of Experienced and Novice Drivers’ Visual and Driving Behaviors during Warned or Unwarned Near–Forward Collisions ↗ · 2023 · Navarro, Jordan et al.
Advancing Crash Investigation With Connected and Automated Vehicle Data – Phase 2 · 2023 · Khattak, Asad J. et al.
Safety Enhancement by Detecting Driver Impairment Through Analysis of Real-Time Volatilities [Research Brief] · 2023 · Khattak, Asad J.
Characteristics of automatic emergency braking responses in passenger vehicles evaluated in the IIHS front crash prevention program ↗ · 2023 · Kidd, David G. et al.
Behavior-Based Predictive Safety Analytics Phase II · 2023 · Miller, Andrew et al.
Potentially Critical Driving Situations During “Blue-light” Driving: A Video Analysis ↗ · 2023 · Prohn, Maria et al.
An Approach for the Selection and Description of Elements Used to Define Driving Scenarios – Part II · 2023 · Rao, Sughosh J. et al.
Guidelines for Evaluating Safety Using Traffic Encounters: Proactive Crash Estimation on Roadways with Conventional and Autonomous Vehicle Scenarios · 2023 · Tarko, Andrew P. et al.
Detecting Early-Stage Dementia Using Naturalistic Driving · 2023 · Wotring, Brian M et al.
Assessing the Effectiveness of the Wyoming Connected Vehicle Pilot Program: New Traffic Safety Research Perspectives · 2022 · Ahmed, Mohamed M. et al.
Identification of evasive manoeuvres in traffic interactions and conflicts · 2022 · Johnsson, Carl et al.
Event Data Recorder Duration Study [Appendix to a Report to Congress. Report No. DOT HS 813 082B] · 2022 · Chen, Rong Jackey et al.
Exploration on prior driving modes for automated vehicle collisions ↗ · 2022 · Das, Subasish
In-Depth Understanding of Near-Crash Events Through Pattern Recognition ↗ · 2022 · Das, Subasish
Drivers’ Response to Scenarios when Driving Connected and Automated Vehicles Compared to Vehicles with and without Driver Assist Technology · 2022 · Gouribhatla, Raghuveer et al.
Identifying Deviations from Normal Driving Behavior · 2022 · Hananeh Alambeigi, H et al.
Impacts of Connected Vehicle Technology on Automated Vehicle Safety · 2022 · Herbers, Eileen et al.
Causes and Effects of Autonomous Vehicle Field Test Crashes and Disengagements Using Exploratory Factor Analysis, Binary Logistic Regression, and Decision Trees ↗ · 2022 · Houseal, Lucas A. et al.
Crash Trifecta: A Complex Driving Scenario Describing Crash Causation ↗ · 2022 · J. Dunn, Naomi et al.
Driver Behavior Simulation considering Crash Condition of an Automated Vehicle ↗ · 2022 · Kim, Moon Young et al.
Safety Impact Assessment of New York City Connected Vehicle Pilot Safety Applications · 2022 · Lam, Andy et al.
Safety Impact Assessment of THEA Connected Vehicle Pilot Safety Applications · 2022 · Lam, Andy et al.
Driver operational level identification of driving risk and graded time-based alarm under near-crash conditions: A driving simulator study ↗ · 2022 · Li, Xianyu et al.
Teen driver crashes potentially preventable by crash avoidance features and teen-driver-specific safety technologies ↗ · 2022 · Mueller, Alexandra S. et al.
Risk Levels Classification of Near-Crashes in Naturalistic Driving Data ↗ · 2022 · Naji, Hasan A. H. et al.
Results of Event Data Recorders Pre-Crash Duration Study: A Report to Congress · 2022 · NHTSA
Can non-crash naturalistic driving data be an alternative to crash data for use in virtual assessment of the safety performance of automated emergency braking systems? ↗ · 2022 · Olleja, Pierluigi et al.
Differences in frequency of occurrence, event characteristics, and pre-impact vehicle kinematics between crashes, near-crashes, and single vehicle conflicts in a large-scale naturalistic driving study ↗ · 2022 · Pérez, Miguel A. et al.
Crash/Near-Crash Analysis of Naturalistic Driving Data Using Association Rule Mining ↗ · 2022 · Qu, Yansong et al.
How Do Human-Driven Vehicles Avoid Pedestrians in Interactive Environments? A Naturalistic Driving Study ↗ · 2022 · Sun, Shulei et al.
Causation analysis of crashes and near crashes using naturalistic driving data ↗ · 2022 · Wang, Xuesong et al.
SafeDrive: A New Model for Driving Risk Analysis Based on Crash Avoidance ↗ · 2022 · Wang, Yibo et al.
Automatic Safety Diagnosis in a Connected Vehicle Environment · 2022 · Whalin, Robert W et al.
Developing an improved automatic preventive braking system based on safety-critical car-following events from naturalistic driving study data ↗ · 2022 · Zhou, Weixuan et al.
The Impact of driver distraction and secondary tasks with and without other co-occurring driving behaviors on the level of road traffic crashes ↗ · 2021 · Jazayeri, Ali et al.
Field effectiveness of general motors advanced driver assistance and headlighting systems ↗ · 2021 · Leslie, Andrew et al.
Mining patterns of near-crash events with and without secondary tasks ↗ · 2021 · Das, Subasish
Patterns of near-crash events in a naturalistic driving dataset: Applying rules mining · 2021 · Das, Subasish
Intersection Safety Assist Draft Test Procedure Performability Validation · 2021 · Davis, Ian J. et al.
Comparison of automated vehicle struck-from-behind crash rates with national rates using naturalistic data · 2021 · Goodall, Noah J.
Driver Impairment Detection & Safety Enhancement Through Comprehensive Volatility Analysis [Slides] · 2021 · Khattak, Asad J. et al.
Investigating the relation between instantaneous driving decisions and safety critical events in naturalistic driving environment ↗ · 2021 · Khattak, Zulqarnain H. et al.
A Crash Prediction Method Based on Artificial Intelligence Techniques and Driving Behavior Event Data ↗ · 2021 · Kim, Yunjong et al.
Naturalistic Driving Data Baseline for Automated Driving System-Equipped Commercial Motor Vehicles · 2021 · Krum, Andrew et al.
Crash comparison of autonomous and conventional vehicles using pre-crash scenario typology ↗ · 2021 · Liu, Qian et al.
Modeling Driver Behavior during Automated Vehicle Platooning Failures · 2021 · McDonald, Anthony D et al.
Tools for Transport: Driven to Learn With Connected Vehicles · 2021 · Morris, Nichole et al.
Naturalistic Driving Database Development and Analysis of Crash and near-Crash Traffic Events in Honolulu · 2021 · Prevedouros, Panos D et al.
An Approach for the Selection and Description of Elements Used to Define Driving Scenarios · 2021 · Rao, Sughosh J. et al.
Effectiveness of Advanced Driver Assistance Systems in Preventing System-Relevant Crashes ↗ · 2021 · Spicer, Rebecca S. et al.
Occupant Dynamics During Crash Avoidance Maneuvers · 2021 · Reed, Matthew P. et al.
A methodology for assessing driver perception-response time during unanticipated cross-centerline events ↗ · 2021 · Riexinger, Luke E. et al.
Steering or braking avoidance response in SHRP2 rear-end crashes and near-crashes: A decision tree approach ↗ · 2021 · Sarkar, Abhijit et al.
Use of Naturalistic Driving Studies for Identification of Vehicle Dynamics · 2021 · Reicherts, Sebastian et al.
Computational modeling of driver pre-crash brake response, with and without off-road glances: Parameterization using real-world crashes and near-crashes ↗ · 2021 · Svärd, Malin et al.
Performance of the Ford Pre-Collision Assist with Automatic Emergency Braking System in Instrumented Tests ↗ · 2021 · Vandiver, Wesley et al.
Effect of daily car-following behaviors on urban roadway rear-end crashes and near-crashes: A naturalistic driving study ↗ · 2021 · Wang, Xuesong et al.
Effects of an integrated collision warning system on risk compensation behavior: An examination under naturalistic driving conditions ↗ · 2021 · Yu, Bo et al.
A dynamic avoidance mobility model for the following car using naturalistic driving data ↗ · 2021 · Zhang, Xingguo et al.
Driving impairments and duration of distractions: Assessing crash risk by harnessing microscopic naturalistic driving data ↗ · 2020 · Arvin, Ramin et al.
Harnessing ambient sensing & naturalistic driving systems to understand links between driving volatility and crash propensity in school zones – A generalized hierarchical mixed logit framework · 2020 · Wali, Behram et al.
Analyzing the Effects of Driving Experience on Prebraking Behaviors Based on Data Collected by Motion Capture Devices · 2020 · Wu, Bo et al.
Exploring Contributing Factors of Hazardous Events in Construction Zones Using Naturalistic Driving Study Data ↗ · 2020 · Chang, Yohan et al.
Evaluation of Naturalistic Driving Behavior Using In-Vehicle Monitoring Technology in Preclinical and Early Alzheimer’s Disease · 2020 · Davis, Jennifer et al.
Crash Avoidance Technology Evaluation Using Real-World Crash Data · 2020 · Flannagan, Carol A. et al.
Exploring Driver’s Deceleration Behavior in Car-Following: A Driving Simulator Study ↗ · 2020 · Hang, Junyu et al.
Driver's Interactions with Advanced Vehicles in Various Traffic Mixes and Flows (Connected and Autonomous Vehicles (CAVs), Electric Vehicles (EVs), V2X, Trucks, Bicycles and Pedestrians) - Phase I: Driver Behavior Study and Parameters Estimation · 2020 · Jeihani, Mansoureh et al.
Real-World Use of Automated Driving Systems and their Safety Consequences: A Naturalistic Driving Data Analysis · 2020 · Kim, Hyungil et al.
What humanlike errors do autonomous vehicles need to avoid to maximize safety? ↗ · 2020 · Mueller, Alexandra S. et al.
Near crash characteristics among risky drivers using the SHRP2 naturalistic driving study ↗ · 2020 · Seacrist, Thomas et al.
Video from user-generated content as a source of pre-crash scenario naturalistic driving data ↗ · 2020 · St. Lawrence, Schuyler et al.
Computational modeling of driver pre-crash brake response, with and without off-road glances: Parameterization using real-world crashes and near-crashes ↗ · 2020 · Svärd, Malin et al.
Preventing Crashes in Mixed Traffic With Automated and Human-Driven Vehicles · 2020 · Talebpour, Alireza et al.
Location-based analysis of car-following behavior during braking using naturalistic driving data ↗ · 2020 · Tawfeek, Mostafa H. et al.
Crash Risk Estimation Due to Lane Changing: A Data-Driven Approach Using Naturalistic Data ↗ · 2020 · Mahajan, Vishal et al.
Evaluating Relationships between Perception-Reaction Times, Emergency Deceleration Rates, and Crash Outcomes using Naturalistic Driving Data ↗ · 2020 · Wood, Jonathan S. et al.
Towards linking driving complexity to crash risk · 2020 · Zurlinden, Hendrik et al.
Safety on the Italian Highways: Impacts of the Highway Chauffeur System · 2019 · Agriesti, Serio et al.
Detection of critical safety events on freeways in clear and rainy weather using SHRP2 naturalistic driving data: Parametric and non-parametric techniques ↗ · 2019 · Ali, Elhashemi M. et al.
Proactive assessment of road curve safety using floating car data: An exploratory study · 2019 · Ambros, Jiří et al.
The role of pre-crash driving instability in contributing to crash intensity using naturalistic driving data ↗ · 2019 · Arvin, Ramin et al.
Developing a Standardized Performance Evaluation of Vehicles with Automated Driving Features · 2019 · Basantis, Alexis et al.
Exploratory analysis of automated vehicle crashes in California: A text analytics & hierarchical Bayesian heterogeneity-based approach ↗ · 2019 · Boggs, A. et al.
Holistic assessment of driver assistance systems: how can systems be assessed with respect to how they impact glance behaviour and collision avoidance? · 2019 · Bärgman, Jonas et al.
What is the relation between crashes from crash databases and near crashes from naturalistic data? ↗ · 2019 · Dozza, Marco
Behavior-based Predictive Safety Analytics – Pilot Study · 2019 · Engström, Johan et al.
Analysis of SHRP2 Data to Understand Normal and Abnormal Driving Behavior in Work Zones · 2019 · Flannagan, Carol A. et al.
Assessing Crash Risks of Evacuation Traffic: A Simulation-based Approach · 2019 · Hasan, Samiul et al.
Developing a Taxonomy of Human Errors and Violations That Lead to Crashes · 2019 · Khattak, Asad et al.
How do drivers avoid collisions? A driving simulator-based study ↗ · 2019 · Li, Xiaomeng et al.
Naturalistic Driving Behavior Analysis under Typical Normal Cut-In Scenarios ↗ · 2019 · Ma, Xuehan et al.
Studying crash avoidance maneuvers prior to an impact considering different types of driver’s distractions ↗ · 2019 · Mahmoudzadeh, Ahmadreza et al.
An extreme gradient boosting method for identifying the factors contributing to crash/near-crash events: a naturalistic driving study ↗ · 2019 · Mousa, Saleh R. et al.
A motivational driver model for the design of a rear-end crash avoidance system ↗ · 2019 · Mozaffari, Hamed et al.
Indicators of Driver Adaptation to Forward Collision Warnings: A Naturalistic Driving Evaluation · 2019 · Nodine, Emily E. et al.
Safely and Effectively Communicating Non-Connected Vehicle Information to Connected Vehicles through Field- and Driving-Simulator-Based Research · 2019 · Noyce, David A. et al.
Driving Etiquette · 2019 · Peng, Huei et al.
Exploring relationships between observed activation rates and functional attributes of lane departure prevention ↗ · 2019 · Reagan, Ian J. et al.
Identifying High Crash Risk Highway Segments Using Jerk-Cluster Analysis ↗ · 2019 · Mousavi, Seyedeh Maryam et al.
Exploring microscopic driving volatility in naturalistic driving environment prior to involvement in safety critical events—Concept of event-based driving volatility ↗ · 2019 · Wali, Behram et al.
Analysis of cut-in behavior based on naturalistic driving data ↗ · 2019 · Wang, Xuesong et al.
Statistical analysis of the patterns and characteristics of connected and autonomous vehicle involved crashes ↗ · 2019 · Xu, Chengcheng et al.
Analysis of the Driver’s Breaking Response in the Safety Cut-in Scenario Based on Naturalistic Driving ↗ · 2019 · Zhang, Jiarui et al.
Effect of instructing system limitations on the intervening behavior of drivers in partial driving automation · 2019 · Zhou, H. P. et al.
Crash Risk of Cell Phone Use While Driving: A Case-Crossover Analysis of Naturalistic Driving Data · 2018 · AAA Foundation for Traffic Safety
Integrated evasive manoeuvre assist for collision mitigation with oncoming vehicles · 2018 · Arikere, Adithya et al.
Collision Avoidance Via Emergency Steering Warning System: A Driving Simulator Approach ↗ · 2018 · Şahin, Hasan et al.
Using SHRP2-Nds Data to Investigate Freeway Operations, Human Factors, and Safety: Final Report · 2018 · Avelar, Raul Eduardo et al.
Bioinjury Implications of Pre-crash Safety Modeling and Intervention Investigators · 2018 · Bolte, John et al.
Behavior-based Predictive Safety Analytics - Pilot Study [supporting datasets] · 2018 · Engström, Johan et al.
Analysis of driving characteristics and crash detection ↗ · 2018 · Erat, Murat et al.
Field Study of Light-Vehicle Crash Avoidance Systems: Automatic Emergency Braking and Dynamic Brake Support · 2018 · Flannagan, Carol A. et al.
Adaptive driver modelling in ADAS to improve user acceptance: A study using naturalistic data · 2018 · Fleming, James M. et al.
Safety and Cost Assessment of Connected and Automated Vehicles · 2018 · Hendrickson, Chris T. et al.
Difference between car-to-cyclist crash and near crash in a perpendicular crash configuration based on driving recorder analysis ↗ · 2018 · Ito, Daisuke et al.
Enhancing Connecticut’s Crash Data Collection for Serious Injury and Fatal Motor Vehicle Collisions · 2018 · Jackson, Eric D. et al.
Virtual Barriers for Mitigating and Preventing Run-off Road Crashes, Phase I · 2018 · Jacome, Ricardo et al.
Cognitive Attention Models for Driver Engagement in Intelligent and Semi-autonomous Vehicles · 2018 · Lee, John D. et al.
Simulation of Automated Vehicles' Drive Cycles · 2018 · LeVine, Scott
Crash probability estimation via quantifying driver hazard perception ↗ · 2018 · Li, Yang et al.
Driving Performance Analysis of Driver Experience and Vehicle Familiarity Using Vehicle Dynamic Data ↗ · 2018 · Liu, Yongkang et al.
Auditory Alert Characteristics Impact on Crash Avoidance Warning Response · 2018 · Marshall, Dawn et al.
Evaluating the Driving Risk of Near-Crash Events Using a Mixed-Ordered Logit Model ↗ · 2018 · Naji, Hasan. et al.
Development of a Simulation Test Bed for Connected Vehicles using the LSU Driving Simulator · 2018 · Osman, Osama A. et al.
Technology and Enhancements to Improve Pre-Crash Safety · 2018 · Ozguner, Umit et al.
Analysis of near crashes among teen, young adult, and experienced adult drivers using the SHRP2 naturalistic driving study ↗ · 2018 · Seacrist, Thomas et al.
A perceptual forward collision warning model using naturalistic driving data ↗ · 2018 · Tawfeek, Mostafa H. et al.
Driver Behavior Classification in Crash and Near-Crash Events Using 100-CAR Naturalistic Data Set ↗ · 2017 · Abdelrahman, Abdalla et al.
Cooperative Adaptive Cruise Control Human Factors Study : Experiment 4 : Preferred Following Distance and Performance in An Emergency Event · 2017 · Balk, Stacy A. et al.
Factors contributing to commercial vehicle rear-end conflicts in China: A study using on-board event data recorders ↗ · 2017 · Bianchi Piccinini, Giulio et al.
Predicting hazardous events in work zones using naturalistic driving data ↗ · 2017 · Chang, Yohan et al.
Driving with Intuition: A Preregistered Study about the EEG Anticipation of Simulated Random Car Accidents · 2017 · Duma, Gian Marco et al.
Investigating Car Users’ Driving Behaviour through Speed Analysis · 2017 · Eboli, Laura et al.
Is vehicle automation enough to prevent crashes? Role of traffic operations in automated driving environments for traffic safety ↗ · 2017 · Jeong, Eunbi et al.
Consistent Threat Assessment in Rear-End Near-Crashes Using BTN and TTB Metrics, Road Information and Naturalistic Traffic Data ↗ · 2017 · Gelso, Esteban R. et al.
Estimation of Safety Benefits for Heavy-Vehicle Crash Warning Applications Based on Vehicle-to-Vehicle Communications · 2017 · Guglielmi, John et al.
Take-over performance in evasive manoeuvres · 2017 · Happee, Riender et al.
Driver`s Steering Behaviour Identification and Modelling in Near Rear-End collision ↗ · 2017 · Hassan, Nurhaffizah et al.
Summary Report : Cooperative Adaptive Cruise Control Human Factors Study · 2017 · Inman, Vaughan W. et al.
Exploring Naturalistic Driving Data for Distracted Driving Measures · 2017 · Ishak, Sherif S. et al.
Leveraging the Second Strategic Highway Research Program Naturalistic Driving Study: Examining Driver Behavior When Entering Rural High-Speed Intersections · 2017 · Jackson, Steven
Analysis of Human Driver Behavior in Highway Cut-in Scenarios ↗ · 2017 · Kim, SeHwan et al.
Glass half-full: On-road glance metrics differentiate crashes from near-crashes in the 100-car data ↗ · 2017 · Seppelt, Bobbie et al.
Performance of basic kinematic thresholds in the identification of crash and near-crash events within naturalistic driving data ↗ · 2017 · Perez, Miguel A. et al.
It's All in the Timing: Using the Attend Algorithm to Assess Texting in the Naturalistic Driving Study · 2017 · Seaman, Sean et al.
Baseline Analysis of Driver Performance at Intersections for the Left-Turn Assist Application ↗ · 2017 · Stevens, Scott et al.
A quantitative driver model of pre-crash brake onset and control ↗ · 2017 · Svärd, Malin et al.
Analysis of Steering Model for Emergency Lane Change Based on the China Naturalistic Driving Data ↗ · 2017 · Wu, Bin et al.
Drivers’ Avoidance Strategies When Using a Forward Collision Warning (FCW) System ↗ · 2017 · Wu, Xingwei et al.
Using Naturalistic Driving Data to Examine Teen Driver Behaviors Present in Motor Vehicle Crashes, 2007-2015 · 2016 · AAA Foundation for Traffic Safety
Animal-Vehicle Encounter Naturalistic Driving Data Collection and Photogrammetric Analysis ↗ · 2016 · Alden, Andrew Scott et al.
Using Naturalistic Driving Performance Data to Develop an Empirically Defined Model of Distracted Driving · 2016 · Bingham, C. Raymond et al.
Investigating Critical Incidents, Driver Restart Period, Sleep Quantity, and Crash Countermeasures in Commercial Vehicle Operations Using Naturalistic Data Collection · 2016 · Blanco, Myra et al.
Comparative Analysis of the Large Truck Crash Causation Study and Naturalistic Driving Data · 2016 · Bocanegra, Joseph L et al.