Methodological Resource

dataset resource

A dataset described as a resource for others: naturalistic driving study data descriptions such as SHRP 2 or 100-Car documentation, crash database descriptions, benchmark dataset papers, data dictionaries and collection summaries published so others can analyze the data.

2324 paper(s) · newest first · see also all information types

1. Extracting information from continuous naturalistic driving data: sample applications ↗ · 2010 · Perez, Miguel A. et al. · indexed
2. Naturalistic Driving Study: Field Data Collection ↗ · 2014 · Blatt, Alan et al. · indexed
3. Second strategic highway research program naturalistic driving study methods ↗ · 2019 · Antin, Jonathan F. et al. · indexed
4. Usage Guidelines of SHRP 2 Naturalistic Driving Study Data for Nevada · 2016 · Xu, Hao et al. · archived
5. The 100-Car Naturalistic Driving Study: Phase II - Results of the 100-Car Field Experiment ↗ · 2006 · Dingus, Thomas A. et al. · indexed
6. SHRP2 naturalistic driving study, phase I summary : State College, Pennsylvania data collection site. · 2013 · Fraser, Janet L. et al. · archived
7. THE 100 CAR NATURALISTIC DRIVING STUDY, PHASE I - EXPERIMENTAL DESIGN ↗ · 2002 · Neale, Vicki L. et al. · indexed
8. SceNDD++: An Enhanced Scenario-based Naturalistic Driving Dataset ↗ · 2024 · Ranjan, Nitya et al. · indexed
9. Exploring Naturalistic Driving Study (NDS) Data and Roadway Information Database (RID) for Emerging Applications in Traffic Safety · 2016 · Ishak, Sherif et al. · archived
10. Analysis of Existing Data: Prospective Views on Methodological Paradigms ↗ · 2012 · Jovanis, Paul P. et al. · indexed
11. The study design of UDRIVE: the naturalistic driving study across Europe for cars, trucks and scooters · 2016 · Barnard, Yvonne et al. · archived
12. Assessment of Variation in Driving Distraction Risk by Age, Gender, and Driving Area using SHRP 2 Naturalistic Driving Study ↗ · 2017 · Pérez, Miguel A. et al. · indexed
13. Descriptive and conceptual structure of naturalistic driving study research: A computational literature review ↗ · 2024 · Howell, Fletcher J. et al. · indexed
14. SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-Critical Events Derived from Real-World Driving Data ↗ · 2025 · Shi, Liang et al. · indexed
15. Behavior-based Predictive Safety Analytics - Pilot Study [supporting datasets] · 2018 · Engström, Johan et al. · archived
16. TrafficNet: An open naturalistic driving scenario library · 2017 · Zhao, Ding et al. · archived
17. Exploration of the SHRP2 naturalistic driving study data to identify factors related to the selection of freeway ramp design speed. · 2017 · Brewer, Marcus A. et al. · archived
18. Evaluate Impact of Sleep Habit on Driving Fatigue and Safety Risk using SHRP 2 Naturalistic Driving Study ↗ · 2017 · Pérez, Miguel A. et al. · indexed
19. Statistical Methods for Naturalistic Driving Studies ↗ · 2018 · Guo, Feng · indexed
20. Drive analysis using lane semantics for data reduction in naturalistic driving studies ↗ · 2014 · Satzoda, Ravi Kumar et al. · indexed
21. Integrating Adaptive Lighting Database with SHRP 2 Naturalistic Driving Study Data ↗ · 2015 · Li, Yingfeng et al. · indexed
22. Need data for driver behaviour analysis? Presenting the public UAH-DriveSet ↗ · 2016 · Romera, Eduardo et al. · indexed
23. Application of naturalistic driving data: A systematic review and bibliometric analysis · 2023 · Alam, Md Rakibul et al. · archived
24. SceNDD: A Scenario-based Naturalistic Driving Dataset ↗ · 2022 · Prabu, Avinash et al. · indexed
25. Evaluation of Work Zone Mobility by Utilizing Naturalistic Driving Study Data [supporting dataset] · 2020 · Zhou, Huaguo Hugo et al. · archived
26. Naturalistic driving data for a smart cloud-based abnormal driving detector ↗ · 2017 · Rosales, Athina et al. · indexed
27. The 100-Car Naturalistic Driving Study, Phase II - Results of the 100-Car Field Experiment · 2006 · Dingus, Thomas A. et al. · archived
28. Evaluation of driving behavior on rural 2-lane curves using the SHRP 2 naturalistic driving study data ↗ · 2015 · Hallmark, Shauna L. et al. · indexed
29. 100 Drivers, 2200 km: A Natural Dataset of Driving Style toward Human-centered Intelligent Driving Systems ↗ · 2024 · Zhang, Chaopeng et al. · indexed
30. Data Handling: Good Practices in the Context of Naturalistic Driving Studies ↗ · 2024 · Haddad, Christelle Al et al. · indexed
31. Baseline face detection, head pose estimation, and coarse direction detection for facial data in the SHRP2 naturalistic driving study ↗ · 2015 · Paone, J. et al. · indexed
32. Naturalistic driving study data applied to road infrastructure: A systematic review ↗ · 2025 · Howell, Fletcher J. et al. · indexed
33. MIT Advanced Vehicle Technology Study: Large-Scale Naturalistic Driving Study of Driver Behavior and Interaction With Automation · 2019 · Fridman, Lex et al. · archived
34. A big data-as-a-service architecture for naturalistic driving studies ↗ · 2021 · Alam, Md Rakibul et al. · indexed
35. Exploring naturalistic driving data for distracted driving measures : [research project capsule]. · 2015 · Ishak, Sherif · archived
36. The Potential Benefits of Naturalistic Driving for Road Safety Research: Theoretical and Empirical Considerations and Challenges for the Future ↗ · 2012 · van Schagen, Ingrid et al. · indexed
37. A Cohort-Based Data Structure Design for Analyzing Crash Risk Using Naturalistic Driving Data ↗ · 2013 · Jovanis, Paul P et al. · indexed
38. A Naturalistic Driving Study Across the Lifespan. Final Report · 2014 · Stavrinos, Despina et al. · archived
39. Feasibility of Using In-Vehicle Video Data to Explore How to Modify Driver Behavior That Causes Nonrecurring Congestion · 2011 · Katz, Bryan et al. · archived
40. Human-Like Behaviour for Automated Vehicles (HLB4AV) Naturalistic Driving Dataset ↗ · 2024 · Igneczi, Gergo Ferenc et al. · indexed
41. Naturalistic Driving Database Development and Analysis of Crash and near-Crash Traffic Events in Honolulu · 2021 · Prevedouros, Panos D et al. · archived
42. Analysis of Naturalistic Driving Event Data ↗ · 2011 · Jovanis, Paul P. et al. · indexed
43. Estimating Crash Risk ↗ · 2011 · Dingus, Thomas A. et al. · indexed
44. Analysis of Naturalistic Driving Data ↗ · 2008 · Shankar, Venky et al. · indexed
45. Using the New SHRP2 Naturalistic Driving Study Safety Databases to Examine Safety Concerns for Older Drivers · 2019 · Knodler, Michael A. et al. · archived
46. Using Naturalistic Data to Develop Simulator Scenarios · 2017 · Gaspar, John et al. · archived
47. Dataset of physiological signals in the use of advanced driver assistance systems (ADAS) ↗ · 2026 · de Castro, Gabriel Martins et al. · indexed
48. Summary of Projects Funded by the Federal Highway Administration for The National Surface Transportation Safety Center for Excellence from July 2006 to June 2014 · 2016 · Hankey, Jonathan M. et al. · archived
49. Drive quality analysis of lane change maneuvers for naturalistic driving studies ↗ · 2015 · Satzoda, Ravi Kumar et al. · indexed
50. Analysis of SHRP2 Speeding Data: Methods Used to Conduct the Research · 2020 · Brown, James L. et al. · archived
51. A Framework to Enhance the Transferability of the SHRP2 Naturalistic Driving Study by Considering Heterogeneity of Driver Behavior Using Spatial-Temporal Factors in a Trajectory Level ↗ · 2018 · Ghasemzadeh, Ali et al. · indexed
52. Repeated Route Naturalistic Driver Behavior Analysis Using Motion and Gaze Measurements ↗ · 2025 · Adhikari, Bikram et al. · indexed
53. Naturalistic Driving Events: No Harm, No Foul, No Validity ↗ · 2015 · Knipling, Ronald R · indexed
54. DriE-Cog dataset: A multimodal physiological–behavioural dataset for intelligent driving emergency response ↗ · 2026 · Zhang, Hongqiang et al. · indexed
55. A Multivariate Analysis of Crash and Naturalistic Driving Data in Relation to Highway Factors ↗ · 2013 · Gordon, Timothy et al. · indexed
56. A Multimodal Dataset of Psychological, Physiological, and Behavioral Responses in Diverse Driving Scenarios ↗ · 2026 · Chai, Bo et al. · indexed
57. Exploring Naturalistic Driving Data for Distracted Driving Measures · 2017 · Ishak, Sherif S. et al. · archived
58. Investigating the Effects of Driver Factors on Crash Involvement using SHRP2 Naturalistic Driving Study Dataset ↗ · 2022 · Du, Na et al. · indexed
59. Use of Naturalistic Driving Data to Characterize Driver Behavior in Freeway Shockwaves ↗ · 2014 · Chatterjee, Indrajit et al. · indexed
60. Improving Driver Safety through Naturalistic Data Collection and Analysis Methods ↗ · 2010 · Doerzaph, Zachary et al. · indexed
61. Potential Uses of Reduced Datasets from the Roadway Information Database: A White Paper · 2019 · Porter, Richard J. et al. · archived
62. Findings of a large-scale European naturalistic driving study: the i-DREAMS project. ↗ · 2025 · Al Haddad, Christelle et al. · indexed
63. Incorporating Driving Behavior Metrics Derived from Naturalistic Driving Data into Macroscopic Safety Modeling ↗ · 2024 · Medina, Juan C. et al. · indexed
64. Modeling 100-car safety events: a case-based approach for analyzing naturalistic driving data: final report · 2009 · Guo, Feng et al. · archived
65. Replication Data for: Evaluation of Autonomous Vehicles and Smart Technologies for Their Impact on Traffic Safety and Traffic Congestion [supporting datasets] · 2020 · Miles, James et al. · archived
66. RISEE: A Highly Interactive Naturalistic Driving Trajectories Dataset with Human Subjective Risk Perception and Eye-tracking Information ↗ · 2025 · Wu, Xinzheng et al. · indexed
67. GIS Mapping of Driving Behavior Based on Naturalistic Driving Data · 2019 · Balsa-Barreiro, José et al. · archived
68. Hardware and software for collecting microscopic trajectory data on naturalistic driving behavior ↗ · 2017 · Shrestha, Deepak et al. · indexed
69. Safe maneuverability zones & metrics for data reduction in naturalistic driving studies ↗ · 2016 · Satzoda, Ravi Kumar et al. · indexed
70. The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems · 2018 · Krajewski, Robert et al. · archived
71. Connected and Automated Vehicle (CAV) Data Infrastructure and Access Phase 1 and 2 · 2021 · Spradlin, Helen K et al. · archived
72. Data Processing Framework for Development of Driving Cycles with Data from SHRP 2 Naturalistic Driving Study ↗ · 2017 · Sun, Yuan et al. · indexed
73. Driver performance and behavior in adverse weather conditions : an investigation using the SHRP2 naturalistic driving study data—phase 1. · 2015 · Ahmed, Mohamed M. et al. · archived
74. Multimodal Phenotyping Dataset of Driving Fatigue ↗ · 2026 · Li, Jiayi et al. · indexed
75. Deep InSight: A Driver-State Estimation Platform for Processing Naturalistic Driving Data · 2024 · Sharma, Anuj et al. · archived
76. Road user behavior: Describing, inferring, predicting and beyond ↗ · 2023 · Donmez, Birsen et al. · indexed
77. Exploring Generalizability of Field Experiment Radio Tasks with Naturalistic Driving Data ↗ · 2016 · Seaman, Sean et al. · indexed
78. Radar-Vision Algorithms to Process the Trajectory-Level Driving Data in the SHRP2 Naturalistic Driving Study ↗ · 2018 · Hammit, Britton et al. · indexed
79. A Unique Approach for Data Analysis of Naturalistic Driver Behavior ↗ · 2001 · Olsen, Erik C. B. et al. · indexed
80. Driving Characteristics Database for Driving Assessment of Older Drivers: Data Repository for Human Life Driving Anatomy (Dahlia) ↗ · 2020 · YAMAGISHI, Misako et al. · indexed
81. Naturalistic Driving Data Baseline for Automated Driving System-Equipped Commercial Motor Vehicles · 2021 · Krum, Andrew et al. · archived
82. Utilizing various data sources for surface transportation human factors research : workshop summary report, November 6-7, 2013 · 2014 · Romo, Alicia et al. · archived
83. Older Driver Performance across Six Naturalistic Studies [Traffic Tech] · 2021 · Staplin, L. et al. · archived
84. Automated video feature extraction : workshop summary report October 10-11 2012. · 2012 · Morton, Tom · archived
85. Use of Naturalistic Driving Studies for Identification of Vehicle Dynamics · 2021 · Reicherts, Sebastian et al. · archived
86. HARMONY: A Human-Centered Multimodal Driving Study in the Wild · 2021 · Tavakoli, Arash et al. · archived
87. Corner Case Dataset for Autonomous Vehicle Testing Based on Naturalistic Driving Data ↗ · 2025 · Zhao, Jian et al. · indexed
88. Managing Big Data for Addressing Research Questions in a Collaborative Project on Automated Driving Impact Assessment · 2020 · Bellotti, Francesco et al. · archived
89. Statistical Risk and Performance Analyses on Naturalistic Driving Trajectory Datasets for Traffic Modeling ↗ · 2024 · Zong, Ruixue et al. · indexed
90. Defining and screening crash surrogate events using naturalistic driving data ↗ · 2012 · Wu, Kun-Feng et al. · indexed
91. Smartphone Sensor Dataset for Driver Behavior Analysis ↗ · 2022 · Wawage, Pawan et al. · indexed
92. Behavior-Based Predictive Safety Analytics Phase II · 2023 · Miller, Andrew et al. · archived
93. Studying Driving Behavior on Horizontal Curves using Naturalistic Driving Study Data ↗ · 2018 · Dhahir, Bashar et al. · indexed
94. Naturalistic Data Collection of Driver Performance in Familiar and Unfamiliar Vehicles ↗ · 2005 · Lee, Suzanne E. et al. · indexed
95. Video from user-generated content as a source of pre-crash scenario naturalistic driving data ↗ · 2020 · St. Lawrence, Schuyler et al. · indexed
96. AAA Longitudinal Research on Aging Drivers (LongROAD) Data User Guide · 2024 · AAA Foundation for Traffic Safety · archived
97. Comparative Analysis of the Large Truck Crash Causation Study and Naturalistic Driving Data · 2016 · Bocanegra, Joseph L et al. · archived
98. Evaluation of association between observed driving speeds and the occurrence of crashes using naturalistic driving study data ↗ · 2026 · Ivan, John N. et al. · indexed
99. Data set for long term driving recording using immersive motion simulation in virtual racing - IMSRace ↗ · 2022 · Vogel, Richard et al. · indexed
100. 100-car naturalistic study · 2005 · NHTSA · archived
101. Modeling 100-car safety events: a case-based approach for analyzing naturalistic driving data: final report ↗ · 2009 · Guo, Feng et al. · indexed
102. Analysis of Naturalistic Driving Events in Honolulu (Pre-COVID) ↗ · 2022 · Carneiro Pereira, Luana et al. · indexed
103. A data–information–knowledge cycle for modeling driving behavior · 2022 · Al Haddad, Christelle et al. · archived
104. A dataset of Chinese drivers’ driving behaviors and socio-cultural factors related to driving ↗ · 2023 · Jin, Ruining et al. · indexed
105. Evaluation of Data Needs, Crash Surrogates, and Analysis Methods to Address Lane Departure Research Questions Using Naturalistic Driving Study Data ↗ · 2011 · National Academies of Sciences, Engineering, and Medicine · indexed
106. The Language of Driving ↗ · 2013 · McDonald, Anthony D. et al. · indexed
107. Animal-Vehicle Encounter Naturalistic Driving Data Collection and Photogrammetric Analysis ↗ · 2016 · Alden, Andrew Scott et al. · indexed
108. Results of Event Data Recorders Pre-Crash Duration Study: A Report to Congress · 2022 · NHTSA · archived
109. Understanding Crash Risk Using a Multi-Level Random Parameter Binary Logit Model: Application to Naturalistic Driving Study Data ↗ · 2022 · Hoover, Lauren et al. · indexed
110. Driver Training Research and Guidelines for Automated Vehicle Technology [supporting datasets] · 2018 · Manser, Michael P. et al. · archived
111. Lankershim Boulevard Dataset : [fact sheet] · 2007 · NHTSA · archived
112. Using SHRP2-Nds Data to Investigate Freeway Operations, Human Factors, and Safety: Final Report · 2018 · Avelar, Raul Eduardo et al. · archived
113. Identifying High-Risk Roadways for Infrastructure Investment Using Naturalistic Driving Data · 2015 · Wolshon, Brian et al. · archived
114. A multimodal driver monitoring benchmark dataset for driver modeling in assisted driving automation · 2024 · Nobari, Khazar Dargahi et al. · archived
115. Geo‐referencing naturalistic driving data using a novel method based on vehicle speed ↗ · 2013 · Balsa‐Barreiro, José et al. · indexed
116. Cooperative Safety Based on Naturalistic Driving Data ↗ · 2022 · Li, Yingfeng “Eric” et al. · indexed
117. Curve Negotiation: Identifying Driver Behavior Around Curves with the Driver Performance Database ↗ · 2009 · Mikolajetz, Anna et al. · indexed
118. Modeling the Impact of Driving Styles on Crash Severity Level Using SHRP 2 Naturalistic Driving Data ↗ · 2022 · Chen, Kuan-Ting et al. · indexed
119. Automated Vehicle Crash Rate Comparison Using Naturalistic Data · 2016 · Blanco, Myra et al. · archived
120. ACFR Five Roundabouts Dataset: Naturalistic Driving at Unsignalized Intersections ↗ · 2019 · Zyner, Alex et al. · indexed
121. Performance of basic kinematic thresholds in the identification of crash and near-crash events within naturalistic driving data ↗ · 2017 · Perez, Miguel A. et al. · indexed
122. Road Hazard Stimuli: Annotated naturalistic road videos for studying hazard and scene perception ↗ · 2023 · Song, Jiali et al. · indexed
123. Advanced Driver Assistance System-Equipped Vehicle Datasets Collected in Central Ohio: Final Report · 2024 · Seitz, Timothy et al. · archived
124. Development of a Robust Database for Measuring Human Gaze Behavior and Performance during Naturalistic Driving ↗ · 2017 · Tavassoli, Abtine et al. · indexed
125. Driving Behavior Analysis Guidelines for Intelligent Transportation Systems ↗ · 2021 · Azadani, Mozhgan Nasr et al. · indexed
126. An EEG dataset for understanding driving expertise from naturalistic urban road experiments. · 2026 · Gong J et al. · archived
127. Using Naturalistic Driving Data to Assess Vehicle-to-Vehicle Crashes Involving Fleet Drivers · 2015 · AAA Foundation for Traffic Safety · archived
128. Deep Insight: A Cloud Based Big Data Analytics Platform For Naturalistic Driving Studies ↗ · 2023 · Venkatachalapathy, Archana et al. · indexed
129. A preliminary investigation of the relationships between historical crash and naturalistic driving ↗ · 2017 · Pande, Anurag et al. · indexed
130. MIMIC — Multidisciplinary Initiative on Methods to Integrate and Create Realistic Artificial Data · 2023 · Edara, Praveen K. et al. · archived
131. When to use what data set for your self-driving car algorithm: An overview of publicly available driving datasets ↗ · 2017 · Yin, Hang et al. · indexed
132. Using naturalistic driving data to explore the association between traffic safety-related events and crash risk at driver level ↗ · 2014 · Wu, Kun-Feng et al. · indexed
133. A naturalistic trajectory dataset with dense interaction for autonomous driving ↗ · 2025 · Jiang, Xiyan et al. · indexed
134. Identifying built environment factors influencing driver yielding behavior at unsignalized intersections: A naturalistic open-source dataset collected in Minnesota ↗ · 2025 · Li, Tianyi et al. · indexed
135. Evaluating Risky Driving Behavior Using a Naturalistic Driving Dataset: A Hybrid Modelling Approach ↗ · 2026 · Theodoraki, Eleni Maria et al. · indexed
136. The Surface Accelerations Reference—A Large-Scale, Interactive Catalog of Passenger Vehicle Accelerations ↗ · 2023 · Ali, Gibran et al. · indexed
137. Knowledge Discovery in Massive Transportation Datasets : Merging Information from Disparate Sources to Enhance Traffic Safety : [fact sheet] · 2018 · NHTSA · archived
138. Australia's naturalistic driving study ↗ · 2015 · Grzebieta, Raphael · indexed
139. The Surface Accelerations Reference — A Large-scale, Interactive Catalog of Passenger Vehicle Accelerations ↗ · 2024 · Ali, Gibran et al. · indexed
140. A dataset on the physiological state and behavior of drivers in conditionally automated driving ↗ · 2023 · Meteier, Quentin et al. · indexed
141. Longitudinal Research on Aging Drivers (LongROAD): study design and methods · 2017 · Li, Guohua et al. · archived
142. Near crash characteristics among risky drivers using the SHRP2 naturalistic driving study ↗ · 2020 · Seacrist, Thomas et al. · indexed
143. Near Crashes as Crash Surrogate for Naturalistic Driving Studies ↗ · 2010 · Guo, Feng et al. · indexed
144. Vehicular Data Space: The Data Point of View · 2019 · Rettore, Paulo H. L. et al. · archived
145. Internal validation of near-crashes in naturalistic driving studies: A continuous and multivariate approach ↗ · 2013 · Jonasson, Jenny K. et al. · indexed
146. WiP Abstract: Edge-Based Privacy of Naturalistic Driving Data Collection ↗ · 2023 · Bunting, Matt et al. · indexed
147. Investigating Critical Incidents, Driver Restart Period, Sleep Quantity, and Crash Countermeasures in Commercial Vehicle Operations Using Naturalistic Data Collection · 2016 · Blanco, Myra et al. · archived
148. Driving risk assessment using cluster analysis based on naturalistic driving data ↗ · 2014 · Yang Zheng et al. · indexed
149. SafeDriveMetrics - A Comprehensive Database for Visual, Cognitive, and Manual Distractions Using a Driving Simulator ↗ · 2025 · Mazumdar, Rahimul I. et al. · indexed
150. Empirical Research for Mixed Traffic Research · 2025 · He, Dengbo et al. · archived
151. Analyzing driver behavior under naturalistic driving conditions: A review ↗ · 2021 · Singh, Harpreet et al. · indexed
152. A combined naturalistic driving, clinical, and neurobehavioral data set for investigating aging and dementia ↗ · 2025 · Blake, Matthew et al. · indexed
153. 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. · indexed
154. Naturalistic Driving: A Framework and Advances in Using Big Data ↗ · 2018 · Knoefel, Frank et al. · indexed
155. Driver Performance and Behavior in Adverse Weather Conditions: An Investigation Using the SHRP2 Naturalistic Driving Study Data—Phase 2 · 2018 · Ahmed, Mohamed et al. · archived
156. A multimodal dataset for various forms of distracted driving ↗ · 2017 · Taamneh, Salah et al. · indexed
157. The exiD Dataset: A Real-World Trajectory Dataset of Highly Interactive Highway Scenarios in Germany ↗ · 2022 · Moers, Tobias et al. · indexed
158. Using Video Analytics to Automatically Annotate Driver Behavior and Context in Naturalistic Driving Data · 2024 · Sarkar, Abhijit et al. · archived
159. Crash Factor Analysis in Intersection-Related Crashes Using SHRP 2 Naturalistic Driving Study Data ↗ · 2021 · Jia, Bingrui et al. · indexed
160. Data collection with "UYANIK": too much pain; but gains are coming ↗ · 2007 · Abut, H. et al. · indexed
161. The L3Pilot Data Management Toolchain for a Level 3 Vehicle Automation Pilot · 2020 · Hiller, Johannes et al. · archived
162. Collection of multimodal data in real-world driving ↗ · 2006 · Kusakawa, Takashi et al. · indexed
163. Exploratory Advanced Research Program : Video Analytics Research Projects · 2015 · NHTSA · archived
164. Emerging research methods and their application to road safety ↗ · 2013 · Tarko, Andrew et al. · indexed
165. Automated Vehicle Driver Monitoring Dataset from Real-World Scenarios · 2024 · Sabry, Mohamed et al. · archived
166. Dataset Construction from Naturalistic Driving in Roundabouts · 2020 · Cuenca, Laura García et al. · archived
167. Driving Risk and Intervention: Subjective Risk Lane Change Dataset ↗ · 2022 · Bao, Naren et al. · indexed
168. Is it Safe to Drive? An Overview of Factors, Metrics, and Datasets for Driveability Assessment in Autonomous Driving ↗ · 2019 · Guo, Junyao et al. · indexed
169. Integrating Human Behavior Toward the Development of Safer Cooperative Automated Transportation: Implementation of SHRP2 Naturalistic Driving Study · 2023 · Ahmed, Mohamed et al. · archived
170. Multidisciplinary Initiative to Create and Integrate Realistic Artificial Datasets · 2023 · Edara, Praveen K. et al. · archived
171. Light Vehicle-Heavy Vehicle Interaction Data Collection and Countermeasure Research Project · 2016 · Hickman, Jeffery S. et al. · archived
172. Application of global positioning system and questionnaires data for the study of driver behaviour on two‐lane rural roads ↗ · 2013 · Ana María Pérez‐Zuriaga et al. · indexed
173. Road Hazard Stimuli: Annotated naturalistic road videos for studying hazard detection and scene perception · 2023 · Song, Jiali et al. · archived
174. A multimodal physiological dataset for driving behaviour analysis · 2024 · Tao, Xiaoming et al. · archived
175. Comparison of SHRP 2 Naturalistic Driving Data to Geometric Design Speed Characteristics on Freeway Ramps · 2020 · Brewer, Marcus A. et al. · archived
176. Screening Naturalistic Driving Study Data for Safety-Critical Events ↗ · 2013 · Wu, Kun-Feng et al. · indexed
177. The 100-Car Naturalistic Driving Study · 2005 · NHTSA · archived
178. Comparability of driving automation crash databases ↗ · 2025 · Goodall, Noah J. · indexed
179. US-Japan Collaborative Research on Probe Data: Assessment Report · 2013 · Vasudevan, Meenakshy et al. · archived
180. Big Data Visualization and Spatiotemporal Modeling of Risky Driving · 2020 · Jahangiri, Arash et al. · archived
181. The Multimodal Driver Monitoring Database: A Naturalistic Corpus to Study Driver Attention ↗ · 2022 · Jha, Sumit et al. · indexed
182. Patterns of near-crash events in a naturalistic driving dataset: Applying rules mining · 2021 · Das, Subasish · archived
183. Behavior-based Predictive Safety Analytics – Pilot Study · 2019 · Engström, Johan et al. · archived
184. Crashes and near-crashes on horizontal curves along rural two-lane highways: Analysis of naturalistic driving data ↗ · 2017 · Wang, Bo et al. · indexed
185. Analysis of Headway and Speed Based on Driver Characteristics and Work Zone Configurations Using Naturalistic Driving Study Data ↗ · 2021 · Xu, Dan et al. · indexed
186. Processing of Eye/Head-Tracking Data in Large-Scale Naturalistic Driving Data Sets ↗ · 2012 · Ahlstrom, Christer et al. · indexed
187. Linking Oregon Driver Records and Crash Data to Evaluate Interventions and Mitigate Driver Risk · 2026 · Hurwitz, David et al. · archived
188. The development of a naturalistic data collection system to perform critical incident analysis: An investigation of safety and fatigue issues in long-haul trucking ↗ · 2006 · Dingus, Thomas A. et al. · indexed
189. Interstate 80 Freeway Dataset : [fact sheet] · 2006 · NHTSA · archived
190. Crash/Near-Crash Analysis of Naturalistic Driving Data Using Association Rule Mining ↗ · 2022 · Qu, Yansong et al. · indexed
191. NATURALISTIC DRIVING STUDIES FROM CANDRIVE – A LONGITUDINAL STUDY OF OLDER DRIVERS IN CANADA ↗ · 2018 · Porter, M · indexed
192. Driver crash risk factors and prevalence evaluation using naturalistic driving data · 2016 · Dingus, Thomas A. et al. · archived
193. Evaluating the Influence of Crashes on Driving Behavior using Naturalistic Driving Study Data · 2015 · Guo, Feng et al. · archived
194. Analysis of SHRP2 Data to Understand Normal and Abnormal Driving Behavior in Work Zones · 2019 · Flannagan, Carol A. et al. · archived
195. Evaluating the relationship between the driver and roadway to address rural intersection safety using the SHRP 2 naturalistic driving study data. · 2016 · Oneyear, Nicole et al. · archived
196. Video -Based Vehicle Trajectory Data Collection ↗ · 2007 · Kovvali, V G et al. · indexed
197. Naturalistic Driving Study for Understanding Human Error in Major Crash Types in Japan ↗ · 2009 · Uchida, Nobuyuki et al. · indexed
198. A review of best practices, standards, and approaches for transportation safety data and driver state prediction ↗ · 2023 · Nartey, David et al. · indexed
199. Multi-modal real-world driving data collection, transcription, and integration using Bayesian Network ↗ · 2008 · Malta, Lucas et al. · indexed
200. DeepScenario: An Open Driving Scenario Dataset for Autonomous Driving System Testing ↗ · 2023 · Lu, Chengjie et al. · indexed
201. The Longitudinal Research on Aging Drivers (LongROAD) Study: Understanding the Design and Methods · 2017 · AAA Foundation for Traffic Safety · archived
202. Exploratory Advanced Research (EAR) Program: Compendium of Papers from Funded Research Projects · 2023 · NHTSA · archived
203. Identifying and Labeling Potentially Risky Driving: A Multistage Process Using Real-World Driving Data ↗ · 2021 · Marks, Charles et al. · indexed
204. Naturalistic Driving Data Analytics: Safety Evaluation With Multi-State Survival Models ↗ · 2023 · Lei, Yiyuan et al. · indexed
205. Driver Distraction in NHTSA Databases · 2010 · Ascone, Debra · archived
206. Realistic Artificial Datasets: Objective Evaluation of Data-Driven Safety Analysis Models · 2020 · NHTSA · archived
207. A Simulator Dataset to Support the Study of Impaired Driving · 2025 · Gideon, John et al. · archived
208. Assessment Report of US-Japan-Europe Collaborative Research on Probe Data International Probe Data Work Group Phase 2. · 2016 · McGurrin, Michael et al. · archived
209. Characterizing driver behavior using naturalistic driving data ↗ · 2024 · Lee, Jooyoung et al. · indexed
210. Designing a Study to Investigate Older Novice Drivers · 2023 · Wright, Tim et al. · archived
211. Semiparametric Bayesian models for evaluating time‐variant driving risk factors using naturalistic driving data and case‐crossover approach ↗ · 2017 · Guo, Feng et al. · indexed
212. Driving Stability Analysis Using Naturalistic Driving Data With Random Matrix Theory ↗ · 2020 · Song, Kai et al. · indexed
213. The value of site-based observations complementary to naturalistic driving observations: A pilot study on the right turn manoeuvre ↗ · 2013 · van Nes, Nicole et al. · indexed
214. Towards Vision Zero: The Accid3nD Dataset ↗ · 2025 · Zimmer, Walter et al. · indexed
215. Leveraging the Second Strategic Highway Research Program Naturalistic Driving Study: Examining Driver Behavior When Entering Rural High-Speed Intersections · 2017 · Jackson, Steven · archived
216. Training to Improve Drivers’ Behavior When Partial Driving Automation Fails [supporting datasets] · 2022 · Roberts, Shannon C et al. · archived
217. Crashes and crash-surrogate events: Exploratory modeling with naturalistic driving data ↗ · 2012 · Wu, Kun-Feng et al. · indexed
218. An Individual Driving Behavior Portrait Approach for Professional Driver of HDVs with Naturalistic Driving Data ↗ · 2022 · He, Yi et al. · indexed
219. Investigation of Design Speed Characteristics on Freeway Ramps using SHRP2 Naturalistic Driving Data · 2019 · Brewer, Marcus A. et al. · archived
220. Effectiveness of Using SHRP2 Naturalistic Driving Study Data to Analyze Driver Behavior at Highway-Rail Grade Crossings ↗ · 2017 · Dean, Aaron et al. · indexed
221. Comprehensive image dataset of flexible pavement: Alligator cracks and edge-breaks from national highway (N6) of urban areasZenodoZenodo ↗ · 2026 · Hossain, Md. Nayem et al. · indexed
222. Test Your Self-Driving Algorithm: An Overview of Publicly Available Driving Datasets and Virtual Testing Environments · 2019 · Kang, Yue et al. · archived
223. CAN-Modes: In-vehicle datasets generation and analysis in different driving situations ↗ · 2024 · Dos Santos Roque, Alexandre et al. · indexed
224. Event Data Recorder Duration Study [Appendix to a Report to Congress. Report No. DOT HS 813 082B] · 2022 · Chen, Rong Jackey et al. · archived
225. Think Aloud Protocol Applied in Naturalistic Driving for Driving Rules Generation ↗ · 2020 · Monsalve, Borja et al. · indexed
226. VTD: Visual and Tactile Dataset for Driver State and Behavior Detection ↗ · 2025 · Wang, Jie et al. · indexed
227. Subjective driving experience recorded live: A naturalistic driving approach ↗ · 2026 · Simon, Katharina et al. · indexed
228. Naturalistic driving data for the analysis of car-following models. · 2013 · Rakha, Hesham et al. · archived
229. Young Driver Gaze (YDGaze): Dataset for driver gaze analysis ↗ · 2022 · Çeven, Süleyman et al. · indexed
230. Selection of Representative Crossings Database for the Evaluation of Driver Behavior Over Highway-Rail Grade Crossings ↗ · 2017 · Muhire, Modeste et al. · indexed
231. TOWARD FLEXIBLE DATA COLLECTION OF DRIVING BEHAVIOUR ↗ · 2020 · Ameksa, M. et al. · indexed
232. Automatic Driver Head State Estimation in Challenging Naturalistic Driving Videos ↗ · 2017 · Smith, Brandon M. et al. · indexed
233. Using naturalistic driving films as a design tool for investigating driver requirements in HMI design for ADAS ↗ · 2012 · Wang, Minjuan et al. · indexed
234. Risky Driver Identification Using Beta Regression Based on Naturalistic Driving Data ↗ · 2023 · Zhang, Shile et al. · indexed
235. Objective Driving Data in the LongROAD Study: An Overview of Changes to Data Collection Procedures from a Datalogger to a Travel App · 2021 · AAA Foundation for Traffic Safety · archived
236. Multitasking additional-to-driving: Prevalence, structure, and associated risk in SHRP2 naturalistic driving data · 2020 · Bálint, András et al. · archived
237. Third Generation Simulation Data (TGSIM): A Closer Look at The Impacts of Automated Driving Systems on Human Behavior · 2024 · Talebpour, Alireza et al. · archived
238. Uncovering Variability in Human Driving Behavior Through Automatic Extraction of Similar Traffic Scenes from Large Naturalistic Datasets ↗ · 2023 · Siebinga, Olger et al. · indexed
239. A Multidimensional Benchmark of Public EEG Datasets for Driver State Monitoring in Brain–Computer Interfaces ↗ · 2025 · Ammar, Sirine et al. · indexed
240. Improving the Efficiency and Quality of Road Crashes Data in the Sultanate of Oman: Evidence-Based Recommendations · 2025 · Al Aamri, Amira et al. · archived
241. SafeTrip 21 initiative : networked traveler foresighted driving field experiment, final report. · 2011 · Nowakowski, Christopher et al. · archived
242. Advancing the Behavioral Safety Analytic Tools Capabilities of the Connecticut Department of Transportation · 2021 · Wang, Kai et al. · archived
243. Improving Roadside Responder Crash Data: Outcomes from an Expert Roundtable Discussion · 2021 · AAA Foundation for Traffic Safety · archived
244. Is the self-confrontation method applicable to Naturalistic Driving Studies? ↗ · 2019 · Barbier, Cécile et al. · indexed
245. Naturalistic Study of Level 2 Driving Automation Functions · 2018 · Russell, Sheldon M. et al. · archived
246. A Framework for Building Comprehensive Driver Profiles ↗ · 2022 · Payyanadan, Rashmi P. et al. · indexed
247. An Approach for the Selection and Description of Elements Used to Define Driving Scenarios – Part II · 2023 · Rao, Sughosh J. et al. · archived
248. Driving risk assessment using near-crash database through data mining of tree-based model ↗ · 2015 · Wang, Jianqiang et al. · indexed
249. DivNEDS: Diverse Naturalistic Edge Driving Scene Dataset for Autonomous Vehicle Scene Understanding · 2024 · Duah, John Owusu et al. · archived
250. Investigating Camera Calibration Methods for Naturalistic Driving Studies ↗ · 2019 · Paone, Jeffrey et al. · indexed
251. Development of collision avoidance for light vehicles : near-crash/crash event data recorders · 2006 · da Silva, Marco P. et al. · archived
252. A multimodal psychological, physiological and behavioural dataset for human emotions in driving tasks ↗ · 2022 · Li, Wenbo et al. · indexed
253. Multimodal Data Collection System for Driver Emotion Recognition Based on Self-Reporting in Real-World Driving ↗ · 2022 · Oh, Geesung et al. · indexed
254. Automation of the Validation, Anonymization, and Augmentation of Big Data from a Multi-year Driving Study ↗ · 2015 · Wallace, Bruce et al. · indexed
255. Using SHRP2 naturalistic driving data to examine driver speeding behavior ↗ · 2020 · Richard, Christian M. et al. · indexed
256. Using Driver State Detection in Automated Vehicles [supporting dataset] · 2019 · Gaspar, John et al. · archived
257. Recognizing Safetycritical Events from Naturalistic Driving Data ↗ · 2012 · Dozza, Marco et al. · indexed
258. AI-based framework for automatically extracting high-low features from NDS data to understand driver behavior ↗ · 2023 · Aboah, Armstrong · indexed
259. Naturalistic Driving Data Baseline for Automated Driving System-Equipped Commercial Motor Vehicles [Technology Brief] · 2021 · NHTSA · archived
260. Normalizing Crash Risk of Partially Automated Vehicles under Sparse Data · 2023 · Goodall, Noah J. · archived
261. Evaluation of Work Zone Mobility by Utilizing Naturalistic Driving Study Data, Phase II · 2022 · Zhou, Huaguo Hugo et al. · archived
262. Naturalistic Driving Study for Older Drivers based on the DriveSafe App ↗ · 2019 · Bergasa, Luis M. et al. · indexed
263. Safety Data Management and Analysis: Addressing the Continuing Education Needs for the Pacific Northwest (Phase 2) · 2018 · Chang, Kevin et al. · archived
264. Experimental Setup Enabling Self-Confrontation Interviews for Modelling Naturalistic Driving Behavior ↗ · 2019 · Cieslar, Dariusz et al. · indexed
265. Dataset for unflappable driving: UNFLAPSet ↗ · 2025 · Kim, SuBi et al. · indexed
266. US Highway 101 Dataset : [fact sheet] · 2007 · NHTSA · archived
267. In-Depth Understanding of Near-Crash Events Through Pattern Recognition ↗ · 2022 · Das, Subasish · indexed
268. An overview of Virginia's computerized crash records systems. · 1995 · Miller, John S · archived
269. Pilot Study on Improving Crash Data Accuracy in Kentucky through University Collaboration · 2024 · Fields, Michael A. et al. · archived
270. The contribution of on-road studies of road user behaviour to improving road safety ↗ · 2013 · Lenné, Michael G. · indexed
271. An investigation of factors contributing to major crash types in Japan based on naturalistic driving data ↗ · 2010 · Uchida, Nobuyuki et al. · indexed
272. Contextualizing Naturalistic Driving Data in a Rural State Among Drivers With and Without Obstructive Sleep Apnea ↗ · 2017 · Dawson, Jeffrey D et al. · indexed
273. Driver-Personalized Risk Assessment in Car-Following: Validation of an Optical-Flow-Based Model using SHRP 2 Naturalistic Driving ↗ · 2026 · Kondoh, Takayuki et al. · indexed
274. Protocol for Candrive II/Ozcandrive, a multicentre prospective older driver cohort study · 2013 · Marshall, Shawn et al. · archived
275. Uncovering variability in human driving behavior through automatic extraction of similar traffic scenes from large naturalistic datasets · 2022 · Abbink, David A. · archived
276. Warwick-JLR driver monitoring dataset (DMD) ↗ · 2015 · Taylor, Phillip et al. · indexed
277. The Alabama VIP older driver study rationale and design: examining the relationship between vision impairment and driving using naturalistic driving techniques ↗ · 2018 · Owsley, Cynthia et al. · indexed
278. Comparison of crash rates and rear-end striking crashes among novice teens and experienced adults using the SHRP2 Naturalistic Driving Study ↗ · 2016 · Seacrist, Thomas et al. · indexed
279. Real-World Use of Automated Driving Systems and their Safety Consequences: A Naturalistic Driving Data Analysis · 2020 · Kim, Hyungil et al. · archived
280. Analysis of SHRP2 Speeding Data [Traffic Tech] · 2020 · NHTSA · archived
281. Research Utilizing SHRP2 Data to Improve Highway Safety: Development of Speed—Safety Relationships · 2020 · Hutton, Jessica M. et al. · archived
282. Driver Performance and Behavior in Adverse Weather Conditions: Microsimulation and Variable Speed Limit Implementation of the SHRP2 Naturalistic Driving Study Results - Phase 3 · 2021 · Ahmed, Mohamed et al. · archived
283. Critical Driving Scenarios Extraction Optimization Method Based on China-FOT Naturalistic Driving Study Database ↗ · 2018 · Zeng, Yufan et al. · indexed
284. Evaluating the influence of crashes on driving risk using recurrent event models and Naturalistic Driving Study data · 2016 · Chen, Chen et al. · archived
285. The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections · 2020 · Bock, Julian et al. · archived
286. Uncovering Variability in Human Driving Behavior Through Automatic Extraction of Similar Traffic Scenes from Large Naturalistic Datasets · 2023 · Abbink, David A. · archived
287. Using Naturalistic Driving Performance Data to Develop an Empirically Defined Model of Distracted Driving · 2016 · Bingham, C. Raymond et al. · archived
288. VTD-Visual and Tactile Database for Driver State and Behavior Perception ↗ · 2023 · Wang, Jie et al. · indexed
289. Influence of Oncoming Light Exposure on Safety Outcomes in a Naturalistic Driving Study ↗ · 2018 · Bullough, John D. · indexed
290. The role of pre-crash driving instability in contributing to crash intensity using naturalistic driving data ↗ · 2019 · Arvin, Ramin et al. · indexed
291. Vehicle sensing data acquisition and analysis ↗ · 2018 · Wu, Linna et al. · indexed
292. Ethical and Privacy Issues with On-Road Driving Data: Panel Discussion ↗ · 2008 · Chrysler, Susan et al. · indexed
293. A Review of UTDrive Studies: Learning Driver Behavior From Naturalistic Driving Data ↗ · 2021 · Liu, Yongkang et al. · indexed
294. State-of-the-art review on sustainable driving behavior: trade-offs between road safety, fuel consumption and emissions ↗ · 2026 · Petraki, Virginia et al. · indexed
295. An examination of driver distraction as recorded in NHTSA databases · 2009 · Ascone, Debra et al. · archived
296. Linking GPS Data to GIS Databases in Naturalistic Studies: Examples from Drivers with Obstructive Sleep Apnea ↗ · 2015 · Dawson, Jeffrey D et al. · indexed
297. enviroCar - Crowd Sourced Traffic and Environment Data for Sustainable Mobility ↗ · 2013 · Jirka, Simon et al. · indexed
298. Individual driver risk assessment using naturalistic driving data ↗ · 2012 · Guo, Feng et al. · indexed
299. Driver Impairment Detection and Safety Enhancement Through Comprehensive Volatility Analysis · 2020 · Khattak, Asad J. et al. · archived
300. A deep dive into enhancing sharing of naturalistic driving data through face deidentification ↗ · 2024 · Thapa, Surendrabikram et al. · indexed
301. Profiling drivers to assess safe and eco-driving behavior – A systematic review of naturalistic driving studies ↗ · 2021 · Singh, Harpreet et al. · indexed
302. Crash Heterogeneity: Implications for Naturalistic Driving Studies and for Understanding Crash Risks ↗ · 2017 · Knipling, Ronald R. · indexed
303. DataSet for Unflappable Driving : UNFLAPSet ↗ · 2024 · Kim, SuBi et al. · indexed
304. Exploring the effects of critical driving situations on driver perception time (PT) using SHRP2 naturalistic driving study data ↗ · 2019 · Wu, Kun-Feng et al. · indexed
305. Analysis of Causes of Rear-end Conflicts Using Naturalistic Driving Data Collected by Video Drive Recorders ↗ · 2008 · Lin, Qingfeng et al. · indexed
306. A novel approach to set driving simulator experiments based on traffic crash data ↗ · 2020 · Bobermin, Mariane Paula et al. · indexed
307. Crash Risk of Cell Phone Use While Driving: A Case-Crossover Analysis of Naturalistic Driving Data · 2018 · AAA Foundation for Traffic Safety · archived
308. Exploring the combined effects of driving situations on freeway rear-end crash risk using naturalistic driving study data ↗ · 2021 · Wu, Kun-Feng (Ken) et al. · indexed
309. Centric: June-September 1977 · 1977 · NHTSA · archived
310. Driving the analysis: An exciting opportunity for statistical innovation in driving research ↗ · 2018 · Albert, Paul S. · indexed
311. Autonomous Vehicle Dataset with Real Multi-Driver Scenes and Biometric Data ↗ · 2023 · Rosique, Francisca et al. · indexed
312. Development of a framework for risky driving scenario identification, individual risk assessment, and group risk differences estimation using naturalistic driving data from the i-DREAMS project ↗ · 2025 · Song, Yanchao et al. · indexed
313. Investigating Relationship Between Driving Patterns and Traffic Safety Using Smartphones Based Mobile Sensor Data · 2016 · Sahin, Olcay et al. · archived
314. Towards Vision Zero: The TUM Traffic Accid3nD Dataset ↗ · 2025 · Zimmer, Walter et al. · indexed
315. The Interrelationships between Speed Limits, Geometry, and Driver Behavior · 2018 · Savolainen, Peter T. et al. · archived
316. Analysis of Naturalistic Driving Study Data: Safer Glances, Driver Inattention, and Crash Risk ↗ · 2014 · Victor, Trent et al. · indexed
317. Advancing Crash Investigation With Connected and Automated Vehicle Data – Phase 2 · 2023 · Khattak, Asad J. et al. · archived
318. Driver behavior in traffic. · 2012 · Abbas, Montasir et al. · archived
319. Highway Safety: Research Continues on a Variety of Factors That Contribute to Motor Vehicle Crashes · 2003 · NHTSA · archived
320. Longitudinal driving behaviour on different roadway categories: an instrumented‐vehicle experiment, data collection and case study in China ↗ · 2015 · Wang, Jianqiang et al. · indexed
321. Analysis of SHRP2 Speeding Data · 2020 · Richard, Christian M. et al. · archived
322. NHTSA Vehicle Safety Attributes Data Book ↗ · 1987 · Walter, Robert A. et al. · indexed
323. Micro DAS: In-Vehicle Portable Data Acquisition System ↗ · 1999 · Barickman, Frank S. et al. · indexed
324. Characteristics of 1977 Licensed Drivers and Their Travel: 1977 Nationwide Personal Transportation Study: Report 1 · 1980 · Asin, Ruth H. · archived
325. Examining Seniors’ Adaptation to Mixed Function Automated Vehicles: Analysis of Naturalistic Driving Data · 2021 · Liang, Dan et al. · archived
326. MIT-AVT Clustered Driving Scene Dataset: Evaluating Perception Systems in Real-World Naturalistic Driving Scenarios ↗ · 2020 · Ding, Li et al. · indexed
327. Traffic safety measures using multiple streams real time data : final report · 2017 · Jafari, Mohsen · archived
328. Naturalistic driving data extraction and processing for studying driver head scanning behavior at intersections ↗ · 2026 · Pundlik, Shrinivas et al. · indexed
329. Definition of run-off-road crash clusters—For safety benefit estimation and driver assistance development ↗ · 2018 · Nilsson, Daniel et al. · indexed
330. A Dataset for the Medical Support Vehicle Location–Allocation Problem ↗ · 2025 · Medina-Perez, Miguel et al. · indexed
331. Analysis of near crashes among teen, young adult, and experienced adult drivers using the SHRP2 naturalistic driving study ↗ · 2018 · Seacrist, Thomas et al. · indexed
332. Investigating the Effect of Social and Cultural Factors on Drivers in Malaysia: A Naturalistic Driving Study ↗ · 2021 · Al-Hussein, Ward Ahmed et al. · indexed
333. 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. · indexed
334. Automated Video Analysis: Analyzing Large Quantities of Transportation Research Data · 2015 · Cobb, Lincoln · archived
335. Evaluating the Driving Risk of Near-Crash Events Using a Mixed-Ordered Logit Model ↗ · 2018 · Naji, Hasan. et al. · indexed
336. EAR Program Research Results: Updated through 2016 · 2016 · NHTSA · archived
337. Driver Behavior Classification: A Systematic Literature Review · 2023 · Bouhsissin, Soukaina et al. · archived
338. Driving Etiquette · 2019 · Peng, Huei et al. · archived
339. Large Truck Crash Causation Study: Analytical User's Manual · 2006 · NHTSA · archived
340. Towards Building a Naturalistic Cycling Dataset Capturing Bicycle/Car Interactions ↗ · 2022 · Alazemi, Fahd et al. · indexed
341. Developing a Taxonomy of Human Errors and Violations That Lead to Crashes · 2019 · Khattak, Asad et al. · archived
342. Roadway safety analysis methodology for Utah : final report. · 2016 · Schultz, Grant G. et al. · archived
343. Model-Based Generation of Representative Rear-End Crash Scenarios Across the Full Severity Range Using Pre-Crash Data ↗ · 2025 · Wu, Jian et al. · indexed
344. The Association between Road Characteristics and Risky Driving Behaviors Based on Naturalistic Driving Data ↗ · 2024 · Yue, Quansheng et al. · indexed
345. Enhancing Crash Data Reporting to Highway Safety Partners in Wyoming by Utilizing Big Data Analysis and Survey Techniques · 2022 · Farid, Ahmed et al. · archived
346. Learning to Predict Risky Driving Behaviors for Autonomous Driving ↗ · 2020 · Hsu, Chih-Chung et al. · indexed
347. Driver Behavior During Overtaking Maneuvers from the 100-Car Naturalistic Driving Study ↗ · 2015 · Chen, Rong et al. · indexed
348. Vehicle Occupants and Driver Behavior: A Novel Data Approach to Assessing Speeding · 2019 · Martin, Michael W et al. · archived
349. Innovative modeling of naturalistic driving data: Inference and prediction ↗ · 2017 · Albert, Paul S. · indexed
350. Modeling Driver-Automation Interaction using A Naturalistic Multimodal Driving Dataset ↗ · 2022 · Yang, Shiyan et al. · indexed
351. Automated Video Analysis - Analyzing Large Quantities Of Transportation Research Data · 2015 · NHTSA · archived
352. Real-world perceptions of emerging event data recorder (EDR) technologies · 2002 · Kowalick, T. M. · archived
353. Evaluation of Driver Behavior at Railroad-Highway Grade Crossings Using Naturalistic Driving Study Data · 2021 · Lautala, Pasi Tapio et al. · archived
354. Argos: An Advanced In-Vehicle Data Recorder on a Massively Sensorized Vehicle for Car Driver Behavior Experimentation ↗ · 2010 · Perez, Antonio et al. · indexed
355. Aerial video & trajectory dataset of vehicles on circular road ↗ · 2025 · Riehl, Kevin et al. · indexed
356. Driving Style Clustering using Naturalistic Driving Data ↗ · 2019 · Chen, Kuan-Ting et al. · indexed
357. Towards constructing a driver management system based on large-scale driving operation records ↗ · 2017 · Yokoyama, Daisaku et al. · indexed
358. Modeling Naturalistic Driving Environment with High-Resolution Trajectory Data · 2023 · Feng, Shuo et al. · archived
359. Evaluation of Work Zone Mobility by Utilizing Naturalistic Driving Study Data · 2019 · Zhou, Huaguo Hugo et al. · archived
360. An fNIRS dataset for driving risk cognition of passengers in highly automated driving scenarios · 2024 · Zhang, Xiaofei et al. · archived
361. Research on the correlation of dangerous driving behaviors based on naturalistic driving experiment ↗ · 2020 · Liang, Xingcan · indexed
362. Comparing Automated Driving Systems’ Safety Data with Human Benchmarks ↗ · 2026 · Chen, Joyce Jiayu et al. · indexed
363. Problems, solutions and recommendations for implementing CODES (Crash Outcome Data Evaluation System) · 2001 · NHTSA · archived
364. Trip-Based Measures of Naturalistic Driving: Considerations and Connections With Cognitive Status in Older Adult Drivers ↗ · 2019 · Howcroft, Jennifer et al. · indexed
365. Eliciting Driver Stress Using Naturalistic Driving Scenarios on Real Roads ↗ · 2018 · Baltodano, Sonia et al. · indexed
366. A synthetic approach to compare the large truck crash causation study and naturalistic driving data ↗ · 2018 · Hickman, Jeffrey S. et al. · indexed
367. Understanding crashes involving roadway objects with SHRP 2 naturalistic driving study data ↗ · 2020 · Hao, Haiyan et al. · indexed
368. Data Reduction Solution for Driving Simulator · 2020 · Pawar, Piyush et al. · archived
369. IAP Project: Driver Behavior and Performance in the Vicinity of Closely Spaced Interchange Ramps on Urban Freeways - Proof of Concept ↗ · 2015 · Strayer, David L. · indexed
370. Smartphone-based Vehicle Telematics For Naturalistic Driving Studies ↗ · 2022 · Tarlochan, Faris et al. · indexed
371. Risk Levels Classification of Near-Crashes in Naturalistic Driving Data ↗ · 2022 · Naji, Hasan A. H. et al. · indexed
372. Crash Risk of Cell Phone Use While Driving: Case-Crossover Study of SHRP 2 Naturalistic Driving Data · 2018 · Owens, Justin M. et al. · archived
373. Driving style indicator using UDRIVE NDS data ↗ · 2018 · Guyonvarch, Laurette et al. · indexed
374. Performance Assessment of an Onboard Monitoring System for Commercial Motor Vehicle Drivers: A Field Operational Test · 2016 · Boyle, Linda Ng et al. · archived
375. 1 year, 1000 km: The Oxford RobotCar dataset · 2016 · Maddern, Will et al. · archived
376. Validation of not-at-fault driver representativeness assumption for quasi-induced exposure using U.S. national traffic databases ↗ · 2019 · Shen, Sijun et al. · indexed
377. Framework for Highway Traffic Profiling Using Connected Vehicle Data · 2022 · Zhong, Zijia et al. · archived
378. The Influence of Unmanned Aerial Systems on Driving Performance [supporting dataset] · 2020 · Fitzpatrick, Cole et al. · archived
379. Creating a driving profile for older adults using GPS devices and naturalistic driving methodology ↗ · 2016 · Babulal, Ganesh M. et al. · indexed
380. Driver Behavior Analysis for Advanced Driver Assistance System ↗ · 2018 · Chen, Hua et al. · indexed
381. Understanding the Safety Effects of Vehicle Lighting Through Naturalistic Driving Data ↗ · 2015 · Bullough, John D. · indexed
382. Safety-Critical Learning for Long-Tail Events: The TUM Traffic Accident Dataset · 2025 · Zimmer, Walter et al. · archived
383. Horizontal Curve Safety Performance Evaluation Based on the Naturalistic Driving Study Lane Position Data · 2024 · Claros, Boris et al. · archived
384. Naturalistic assessment of novice teenage crash experience ↗ · 2011 · Lee, Suzanne E. et al. · indexed
385. A review of naturalistic driving study surrogates and surrogate indicator viability within the context of different road geometries ↗ · 2021 · Pinnow, Jack et al. · indexed
386. SHRP2 Naturalistic Data Analysis of Older Drivers’ Gap-Acceptance Behaviour ↗ · 2022 · Srinivasan Rammanoharan, Sneha et al. · indexed
387. Driving Simulator Development with Two Degrees of Freedom Motion for Driver Behavior Study ↗ · 2017 · Mohd Siam, M.F. et al. · indexed
388. Validating the representativeness assumption of the quasi-induced exposure method using a national representative field observation survey ↗ · 2021 · Shen, Sijun et al. · indexed
389. Driver Behavior in Forward Collision and Lane Departure Scenarios ↗ · 2016 · Gaspar, John et al. · indexed
390. Development and interval testing of a naturalistic driving methodology to evaluate driving behavior in clinical research ↗ · 2016 · Babulal, Ganesh M. et al. · indexed
391. Investigating the Factors Influencing Driving Risk Using Driving Experimental Data ↗ · 2018 · Yang, Man et al. · indexed
392. Feasibility of Driver Judgment as Basis for a Crash Avoidance Database · 2002 · Smith, David L. et al. · archived
393. Fast Lane - Exploring Human Behavior - Volume 14 · 2021 · NHTSA · archived
394. On-Road Vehicle Trajectory Collection and Scene-Based Lane Change Analysis: Part I ↗ · 2017 · Zhao, Huijing et al. · indexed
395. AV/ADAS Safety-Critical Testing Scenario Generation from Vehicle Crash Data ↗ · 2022 · Kibalama, Dennis et al. · indexed
396. Novice Teen Driver Education Data Collection Guide · 2024 · NHTSA · archived
397. Investigating the Impact of Fog on Freeway Speed Selection using the SHRP2 Naturalistic Driving Study Data ↗ · 2018 · Khan, Md Nasim et al. · indexed
398. Toward modeling and classification of naturalistic driving ↗ · 2005 · Torkkola, K. et al. · indexed
399. Typical Acceleration and Speed Profiles for Right-Turn Maneuvers Based on SHRP2 Naturalistic Driving Data ↗ · 2024 · Flynn, Thomas I. et al. · indexed
400. Data Necessary to Develop a Sentinel Surveillance System for Drug Use by Drivers in Crashes: A Review of the Existing Landscape · 2019 · AAA Foundation for Traffic Safety · archived
401. Using Naturalistic Driving Data to Develop a Typology of Speeding Episodes ↗ · 2017 · Richard, Christian M. et al. · indexed
402. Collection duration of driving tracking data of older drivers ↗ · 2025 · Yamagishi, Misako · indexed
403. Intelligent Data Acquisition for Intelligent Transportation Research ↗ · 1998 · Barickman, Frank S. · indexed
404. An interactive enhanced driving dataset for autonomous driving ↗ · 2026 · Feng, Haojie et al. · indexed
405. Third Annual Report of the Crash Avoidance Metrics Partnership, April 2003 – March 2004 · 2005 · Deering, Richard K. et al. · archived
406. The PREVENTION dataset: a novel benchmark for PREdiction of VEhicles iNTentIONs ↗ · 2019 · Izquierdo, R. et al. · indexed
407. 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. · indexed
408. Generalization of case studies in road traffic when defining pre-crash scenarios for active safety function evaluation ↗ · 2010 · Ljung Aust, Mikael · indexed
409. Using Naturalistic Driving Study Data to Investigate Driver Behavior at Highway-Rail Grade Crossings ↗ · 2018 · Salim, Alawudin et al. · indexed
410. Advanced operations focused on connected vehicles/infrastructure (CVI-UTC). · 2015 · Smith, Brian L. et al. · archived
411. A Comprehensive Examination of Naturalistic Lane-Changes ↗ · 2004 · Lee, Suzanne E. et al. · indexed
412. 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. · archived
413. Public Roads Vol. 75 No. 3 · 2011 · Brumfield, Ryan et al. · archived
414. Vehicle-based studies of driving in the real world: The hard truth? ↗ · 2013 · Carsten, Oliver et al. · indexed
415. Considerations in the Use of the NHTSA Cardfile ↗ · 1991 · Campbell, Kenneth L. et al. · indexed
416. Risk-Based Filtering of Valuable Driving Situations in the Waymo Open Motion Dataset ↗ · 2025 · Puphal, Tim et al. · indexed
417. Driver lane keeping behavior in normal driving using 100-car naturalistic driving study data ↗ · 2016 · Johnson, Taylor et al. · indexed
418. Measuring the safety impact of road infrastructure systems on driver behavior: Vehicle instrumentation and real world driving experiment ↗ · 2016 · Schorr, Justin et al. · indexed
419. Recording and automated analysis of naturalistic bioptic driving ↗ · 2011 · Luo, Gang et al. · indexed
420. P1‐220: Creating a Driving Profile for Older Adults Using a Naturalistic Driving Methodology ↗ · 2016 · Stout, Sarah Holtz et al. · indexed
421. Revision of the driver behavior questionnaire for Chinese drivers’ aberrant driving behaviors using naturalistic driving data ↗ · 2023 · Jiao, Yujun et al. · indexed
422. The development and implementation of driving information collection and recording system for driving behavior analysis ↗ · 2020 · Wu, Chien-Chung · indexed
423. IMPACT OF MEDICAL CONDITIONS ON SENIOR DRIVER SAFETY & MOBILITY: LEARNINGS FROM THE SHRP 2 NATURALISTIC DRIVING STUDY ↗ · 2018 · Antin, J · indexed
424. Developing speed‐related safety performance indicators from floating car data · 2022 · Ambros, Jiří et al. · archived
425. The Relationship between the Driver Behavior Questionnaire, Sensation Seeking Scale, and Recorded Crashes: A Brief Comment on Martinussen et al. (2017) and New Data from SHRP2 · 2018 · de Winter, J C F et al. · archived
426. Over 60,000 km in a year: remotely collecting large-volume high-quality data from a logistics truck · 2022 · Berger, Christian et al. · archived
427. A Software Agent for Vehicle Driver Modeling ↗ · 2019 · Obuhuma, James Imende et al. · indexed
428. Using SHRP 2 naturalistic driving data to assess drivers' speed choice while being engaged in different secondary tasks ↗ · 2017 · Schneidereit, Tina et al. · indexed
429. A Framework for Naturalistic Driving Assessment in People Living with Dementia ↗ · 2026 · Hettiarachchige, Ranuki Onara et al. · indexed
430. Crash Avoidance Performance History (CAPH): Safety Performance Measures for UDOT Regions & Divisions · 2004 · Anderson, Doug et al. · archived
431. A Method of Generating a Composite Dataset for Monitoring of Non-Driving Related Tasks ↗ · 2024 · Wu, Xian et al. · indexed
432. Identification of aggressive driving from naturalistic data in car-following situations ↗ · 2020 · Kovaceva, Jordanka et al. · indexed
433. What are Australian drivers doing behind the wheel? An overview of secondary task data from the Australian Naturalistic Driving Study · 2019 · Young, Kristie et al. · archived
434. Driving data distribution of human drivers in urban driving condition ↗ · 2017 · Liu, Rui et al. · indexed
435. 2013–2014 National Roadside Study of Alcohol and Drug Use by Drivers: Methodology · 2016 · Kelley-Baker, Tara et al. · archived
436. Race-Car Instrumentation for Driving Behavior Studies ↗ · 2011 · Katzourakis, Diomidis et al. · indexed
437. EAR Program Research Results - Updated Through 2018 : [brochure] · 2018 · NHTSA · archived
438. DriVQA: A gaze-based dataset for visual question answering in driving scenarios ↗ · 2025 · Rekanar, Kaavya et al. · indexed
439. Validating self-reported driving behaviours as determinants of real-world driving speeds ↗ · 2024 · Thomas, Pete et al. · indexed
440. Understanding speeding behavior from naturalistic driving data: Applying classification based association rule mining · 2020 · Das, Subasish · archived
441. Enhancing Connecticut’s Crash Data Collection for Serious Injury and Fatal Motor Vehicle Collisions · 2018 · Jackson, Eric D. et al. · archived
442. Exploratory Analysis of Automated Vehicle Crashes Using an NLP Pipeline ↗ · 2023 · Jayaraman, Suresh Kumaar et al. · indexed
443. Using Naturalistic Driving Data to Examine Teen Driver Behaviors Present in Motor Vehicle Crashes, 2007-2015 · 2016 · AAA Foundation for Traffic Safety · archived
444. Using trajectory-level SHRP2 naturalistic driving data for investigating driver lane-keeping ability in fog: An association rules mining approach ↗ · 2019 · Das, Anik et al. · indexed
445. doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation · 2025 · Roy, Parthib et al. · archived
446. A Study on Data Analysis for Improving Driving Safety in Field Operational Test (FOT) of Autonomous Vehicles ↗ · 2022 · Shin, Seok-San et al. · indexed
447. An Evaluation of the Use of Odds Ratios to Estimate the Association between Mobile Phone Use and Safety Critical Driving Events · 2022 · Reed, Nick et al. · archived
448. Contributing Factors to Lane Departure Crashes: A Data-Driven Multi-Scale Identification Approach Leveraging Heterogeneous Data ↗ · 2026 · Wang, Shuyi et al. · indexed
449. Public Roads Vol. 88 No. 2 · 2024 · NHTSA · archived
450. Characterisation of motorway driving style using naturalistic driving data ↗ · 2020 · Itkonen, Teemu H. et al. · indexed
451. What is the relation between crashes from crash databases and near crashes from naturalistic data? ↗ · 2019 · Dozza, Marco · indexed
452. Compendium Of Human Factors Projects Supporting The Intelligent Vehicle Initiative · 1999 · NHTSA · archived
453. Lane Intrusion Behaviors Dataset: Action Recognition in Real-world Highway Scenarios for Self-driving ↗ · 2021 · Lu, Hongchao et al. · indexed
454. Radio Usage: Observations from the 100-Car Naturalistic Driving Study ↗ · 2007 · Neurauter, M. Lucas et al. · indexed
455. Using Transportation Accident Databases in Human Factors Research ↗ · 1992 · Mayer, David L. et al. · indexed
456. Driving risk assessment based on naturalistic driving study and driver attitude questionnaire analysis ↗ · 2020 · Wang, Jianqiang et al. · indexed
457. In-depth analysis of crash contributing factors and potential ADAS interventions among at-risk drivers using the SHRP 2 naturalistic driving study ↗ · 2021 · Seacrist, Thomas et al. · indexed
458. Development of a master file of essential highway safety planning and evaluation data. · 1978 · Simpson, Clinton H et al. · archived
459. Assessing the effect of COVID-19 travel and work restrictions on vehicle trips: A naturalistic driving case study ↗ · 2020 · Perez, Miguel et al. · indexed
460. Data-driven Robust Scoring Approach for Driver Profiling Applications ↗ · 2018 · Abdelrahman, Abdalla et al. · indexed
461. An Approach for the Selection and Description of Elements Used to Define Driving Scenarios · 2021 · Rao, Sughosh J. et al. · archived
462. USRAP Pilot Program Phase II · 2008 · AAA Foundation for Traffic Safety · archived
463. Verification and Calibration of Microscopic Traffic Simulation Using Driver Behavior and Car-Following Metrics for Freeway Segments · 2024 · Medina, Juan C. et al. · archived
464. Benchmarks for retrospective automated driving system crash rate analysis using police-reported crash data ↗ · 2024 · Scanlon, John M. et al. · indexed
465. Vision meets robotics: The KITTI dataset ↗ · 2013 · Geiger, Andreas et al. · indexed
466. National automotive sampling system (NASS) general estimates system (GES) : analytical user's manual, 1988-2000 · 2001 · NHTSA · archived
467. Detection and Analysis of Lane Wandering and Cut-Out Scenarios in Naturalistic Driving Data for Automated Driving Safety Assessment ↗ · 2024 · Wallis, Philip et al. · indexed
468. Dynamic Behavioral Data Collection Using an Instrumented Vehicle ↗ · 1999 · Brackstone, M. et al. · indexed
469. Detection of Risky Driving Behaviors in the Naturalistic Environment in Healthy Older Adults and Mild Alzheimer’s Disease · 2018 · Davis, Jennifer et al. · archived
470. A Statistical and Machine Learning Approach to Assess Contextual Complexity of the Driving Environment Using Autonomous Vehicle Data— Technology Transfer Activities · 2024 · Ogle, Jennifer H et al. · archived
471. Evaluation Method of Naturalistic Driving Behaviour for Shared-Electrical Car ↗ · 2022 · Ji, Shaobo et al. · indexed
472. Automatic Safety Diagnosis in a Connected Vehicle Environment · 2022 · Whalin, Robert W et al. · archived
473. Federal Highway Administration Research and Technology National Household Travel Survey Program · 2017 · Chajka-Cadin, Lora et al. · archived
474. Unlocking Forensics Data for Vehicles Involved in Motor Vehicle Crashes · 2025 · Grasso III, Charles et al. · archived
475. Connected Vehicle Pilot Deployment Program Phase 1 : Human Use Approval Summary : New York City · 2016 · Bacon-Abdelmoteleb, Paige et al. · archived
476. An Unsupervised Approach for Inferring Driver Behavior From Naturalistic Driving Data ↗ · 2015 · Bender, Asher et al. · indexed
477. Longitudinal Risky Driving Behavior Recognition Based on Naturalistic Driving Study ↗ · 2018 · Sun, Zhengwei et al. · indexed
478. A Pilot Study to Test Multiple Medication Usage and Driving Functioning · 2008 · Staplin, L. K. et al. · archived
479. Research on the Vehicle-Behavior Boundary of Intersection Traffic Based on Naturalistic Driving Data Study ↗ · 2024 · Wu, Biao et al. · indexed
480. Identifying risky driving behavior: a field study using instrumented vehicles ↗ · 2023 · Charly, Anna et al. · indexed
481. Ten Percenters : Final Report · 2010 · Robertson, Robyn et al. · archived
482. Intelligent Cruise Control Field Operational Test Vol II, Appendices A-F · 1998 · Fancher, Paul et al. · archived
483. Driving Maneuver Estimation for Naturalist Driving Data with State Space Model Predictive Control ↗ · 2023 · Zhang, Jiahao et al. · indexed
484. Data Management Life Cycle, Final report · 2018 · Miller, Kristi et al. · archived
485. National automotive sampling system (NASS) general estimates system (GES) : analytical user's manual, 1988-1999 · 2002 · NHTSA · archived
486. Driving Simulator Data Based Driver Behavior Ethogram Establishment ↗ · 2019 · Mao, Yan et al. · indexed
487. Proactive assessment of road curve safety using floating car data: An exploratory study · 2019 · Ambros, Jiří et al. · archived
488. Older driver fitness-to-drive evaluation using naturalistic driving data · 2015 · Guo, Feng et al. · archived
489. Exploring the Use of Driver Attributes to Characterize Heterogeneity in Naturalistic Driving Behavior ↗ · 2018 · James, Rachel et al. · indexed
490. Evaluation of Older Driver Fitness-to-Drive Metrics and Driving Risk Using Naturalistic Driving Study Data · 2014 · Guo, Feng et al. · archived
491. Revised catalog of types of CODES applications implemented using linked state data : crash outcome data evaluation system (CODES) · 2000 · NHTSA · archived
492. myEye2Wheeler: A Two-Wheeler Indian Driver Real-World Eye-Tracking Dataset ↗ · 2024 · Kumar, Bhaiya Vaibhaw et al. · indexed
493. Speeding Behavior when Using Automation: A Descriptive Analysis of Naturalistic Driving Data ↗ · 2022 · Haus, Samantha H. et al. · indexed
494. Driver-Skeleton: A Dataset for Driver Action Recognition ↗ · 2021 · Lin, Zeyang et al. · indexed
495. Driving information logger with in-vehicle communication for autonomous vehicle research ↗ · 2018 · Sung, Kyungbok et al. · indexed
496. Development and evaluation of a Driving Observation Schedule (DOS) to study everyday driving performance of older drivers · 2013 · Koppel, Sjaan et al. · archived
497. Detecting Early-Stage Dementia Using Naturalistic Driving · 2023 · Wotring, Brian M et al. · archived
498. Predicting Crash Severity using Naturalistic Driving Data and Neural Networks ↗ · 2026 · Somvanshi, Shriyank et al. · indexed
499. 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. · indexed
500. Exploratory Advanced Research Program Research Associates Program 2021 [brochure] · 2022 · NHTSA · archived
501. Identification of Motivations for Unsafe Driving Actions and Potential Countermeasures · 1982 · Marks, M. E. (Mary E.) et al. · archived
502. Construction of Driving Hazard Disposal Model for Human Drivers Based on Natural Driving Data and Extraction of Critical Scenarios for Cut-out Scenarios ↗ · 2024 · Wei, Lai et al. · indexed
503. The Role of Artificial Intelligence and Machine Learning in Federally Supported Surface Transportation 2022 Updates · 2022 · NHTSA · archived
504. Examining the Feasibility of Using Naturalistic Driving Study Data for Validating Speed Prediction Models ↗ · 2020 · Geedipally, Srinivas R. et al. · indexed
505. Evaluation of left-turn lane offset using the naturalistic driving study data ↗ · 2014 · Bauer, Karin M. et al. · indexed
506. The 100-Car Naturalistic Driving Study: A Descriptive Analysis of Light Vehicle-Heavy Vehicle Interactions from the Light Vehicle Driver's Perspective · 2006 · Hanowski, R. J. et al. · archived
507. National Automotive Sampling System (NASS) General Estimates System (GES) : analytical user's manual, 1988-1997 · 2000 · NHTSA · archived
508. Driver behavior analysis for right-turn drivers at signalized intersections using SHRP 2 naturalistic driving study data ↗ · 2017 · Wu, Jianqing et al. · indexed
509. Driver-Behavior Modeling Using On-Road Driving Data: A new application for behavior signal processing ↗ · 2016 · Miyajima, Chiyomi et al. · indexed
510. Evaluation of electronic data recorders for incident investigation, driver performance, and vehicle maintenance · 2009 · Sapper, Deborah Buchacz et al. · archived
511. A Review of Data Analytic Applications in Road Traffic Safety. Part 1: Descriptive and Predictive Modeling ↗ · 2020 · Mehdizadeh, Amir et al. · indexed
512. Driver Behavior Fault Analysis on Ramp-related Crashes/Near-Crashes Using SHRP 2 Naturalistic Driving Study Data ↗ · 2018 · Wu, Jianqing et al. · indexed
513. Driver behavior indices from large-scale fleet telematics data as surrogate safety measures ↗ · 2023 · Alrassy, Patrick et al. · indexed
514. Feature selection for driving style and skill clustering using naturalistic driving data and driving behavior questionnaire ↗ · 2023 · Chen, Yao et al. · indexed
515. Methodology for in-the-Wild Driver Monitoring Dataset Formation ↗ · 2022 · Bulygin, Alexandr et al. · indexed
516. Using naturalistic driving data to identify driving style based on longitudinal driving operation conditions ↗ · 2021 · Lyu, Nengchao et al. · indexed
517. Interpretable and robust tree-based methodology for imbalanced classification in driving safety assessment ↗ · 2026 · Vannucci, Giulia et al. · indexed
518. New American Driving Survey: Updated Methodology and Results from July 2019 to June 2020 · 2021 · AAA Foundation for Traffic Safety · archived
519. Effect of daily car-following behaviors on urban roadway rear-end crashes and near-crashes: A naturalistic driving study ↗ · 2021 · Wang, Xuesong et al. · indexed
520. Exploring speeding behavior using naturalistic car driving data from smartphones ↗ · 2023 · Kontaxi, Armira et al. · indexed
521. Multimodal driver state modeling through unsupervised learning ↗ · 2022 · Tavakoli, Arash et al. · indexed
522. Identifying Mature Driver Risk from Naturalistic Driving ↗ · 2025 · Nasr, Malak Saif El et al. · indexed
523. NHTSA’s Behavioral Safety Research: Updated, Annotated Bibliography, 1985–2013 [Traffic Tech] · 2014 · NHTSA · archived
524. Driver Behavior Classification in Crash and Near-Crash Events Using 100-CAR Naturalistic Data Set ↗ · 2017 · Abdelrahman, Abdalla et al. · indexed
525. Results of Special Accident Study Teams/ASAP Coordination Conference · 1974 · Fell, James C. · archived
526. A Landscape of Research on Bus Driver Behavior: Taxonomy, Open Challenges, Motivations, Recommendations, Limitations, and Pathways Solution in Future ↗ · 2021 · Mohammed, Ali et al. · indexed
527. Use of multilevel modeling to examine variability of distracted driving behavior in naturalistic driving studies ↗ · 2021 · Freed, Sara A. et al. · indexed
528. A Naturalistic Driving Study for Lane Change Detection and Personalization · 2024 · Lakhkar, Radhika Anandrao et al. · archived
529. Description of light-vehicle pre-crash scenarios for safety applications based on vehicle-to-vehicle communications · 2013 · Najm, Wassim G. et al. · archived
530. Reliability of Self-Reported Road Crash and Violation Data of Professional Drivers: The Case of Qatar · 2024 · Arshi, Abubeker Nemo et al. · archived
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532. Collision Risk Assessment Using Naturalistic Data from a Rent-A-Car Fleet ↗ · 2019 · Min, Dongsoon et al. · indexed
533. Road Accident: Driver Behaviour, Learning and Driving Task ↗ · 2014 · Silva, Fátima Pereira da et al. · indexed
534. Data and methods for studying commercial motor vehicle driver fatigue, highway safety and long-term driver health · 2018 · Stern, Hal S. et al. · archived
535. Analysis of Driver Brake Operation In Near-Crash Situation Using Naturalistic Driving Data ↗ · 2011 · Cheng, Bo et al. · indexed
536. Causation analysis of crashes and near crashes using naturalistic driving data ↗ · 2022 · Wang, Xuesong et al. · indexed
537. A comparison of patterns and contributing factors of ADAS and ADS involved crashes · 2024 · Yan, Song et al. · archived
538. Examining contributing factors on driving risk of naturalistic driving using K-means clustering and ordered logit regression ↗ · 2017 · Naji, Hasan A. H. et al. · indexed
539. Adjusted Crash Odds Ratio Estimates of Driver Behavior Errors: A Re-Analysis of the SHRP2 Naturalistic Driving Study Data ↗ · 2017 · Young, Richard A · indexed
540. Context-Aware Attention Encoder-Decoder Network for Connected Heavy-Duty Vehicle Aggressive Driving Identification Under Naturalistic Driving Conditions ↗ · 2024 · Tang, Kun et al. · indexed
541. Technology and Enhancements to Improve Pre-Crash Safety · 2018 · Ozguner, Umit et al. · archived
542. Pilot Study of Instrumentation to Collect Behavioral Data to Identify On-Road Rider Behaviors · 2011 · McLaughlin, Shane B. et al. · archived
543. Motorcycle Crash Causes and Outcomes: Pilot Study · 2010 · NHTSA · archived
544. Rural Older Adult Driver Tailored Research-Integrated Plan (ROAD TRIP) · 2024 · Wotring, Brian M et al. · archived
545. Investigating Car Users’ Driving Behaviour through Speed Analysis · 2017 · Eboli, Laura et al. · archived
546. Federal Highway Administration Focus Area Data Definitions · 2014 · Satterfield, Cathy et al. · archived
547. Crash rates over time among younger and older drivers in the SHRP 2 naturalistic driving study ↗ · 2020 · Simons-Morton, Bruce G. et al. · indexed
548. EAR Program Research Results: Updated through 2014 · 2014 · NHTSA · archived
549. Steady-State Car-Following Time Gaps: An Empirical Study Using Naturalistic Driving Data ↗ · 2019 · Loulizi, Amara et al. · indexed
550. The Effects of Medical Conditions on Driving Performance · 2017 · Staplin, Loren et al. · archived
551. Driving Maneuvers Analysis Using Naturalistic Highway Driving Data ↗ · 2015 · Li, Guofa et al. · indexed
552. American Driving Survey Year One May 2013 – May 2014 · 2015 · AAA Foundation for Traffic Safety · archived
553. Annotated Bibliography on Highway Travel Exposure Research Methods · 1978 · Wolfe, Arthur C. · archived
554. Integrated driver modelling considering state transition feature for individual adaptation of driver assistance systems ↗ · 2010 · Raksincharoensak, Pongsathorn et al. · indexed
555. S-HAL : safety handbook for locals. · 2014 · NHTSA · archived
556. 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. · indexed
557. Driving word2vec: Distributed semantic vector representation for symbolized naturalistic driving data ↗ · 2016 · Fuchida, Yusuke et al. · indexed
558. Evaluation of intersection crashes using naturalistic driving data through the lens of future I-ADAS ↗ · 2023 · Galloway, Andrew J. et al. · indexed
559. Multi-channel EEG recordings during a sustained-attention driving task · 2019 · Cao, Zehong et al. · archived
560. COMPARISON OF THE ACCESSIBILITY AND CONTENT OF DRIVING RECORDS FROM MULTIPLE STATES ↗ · 2017 · Strogatz, David et al. · indexed
561. Improving driving behavior by allowing drivers to browse their own recorded driving data ↗ · 2011 · Takeda, Kazuya et al. · indexed
562. Using naturalistic driving data to better understand the driving exposure and patterns of older drivers ↗ · 2018 · Molnar, Lisa J. et al. · indexed
563. Meta-cognition for inferring car driver cognitive behavior from driving recorder data ↗ · 2016 · Mizoguchi, Fumio et al. · indexed
564. Modeling Driving Performance Using In-Vehicle Speech Data From a Naturalistic Driving Study ↗ · 2016 · Kuo, Jonny et al. · indexed
565. Identifying Distracted and Drowsy Drivers Using Naturalistic Driving Data ↗ · 2018 · Yadawadkar, Sujay et al. · indexed
566. HopInAndAction: a benchmark for action recognition in the cockpit of a self-driving car driving outdoors ↗ · 2024 · Alex-Garnier, Tristan et al. · indexed
567. Driver modeling: Data collection, model analysis, and optimization ↗ · 2012 · Benderius, Ola · indexed
568. Open-Loop Naturalistic Driving: An Assessment of Human Behavior, Performance, and Physiology to Support the Development of Shared Control Strategies ↗ · 2022 · Luster, Maya S. et al. · indexed
569. USRAP Pilot Program Phase III · 2010 · AAA Foundation for Traffic Safety · archived
570. Comprehensive and spatially detailed passenger vehicle and truck traffic volume data for the United States estimated by machine learning. ↗ · 2026 · Antonczak, B et al. · indexed
571. Clustering Method of Driving Scenes based on Road Shape by using Road Map Images ↗ · 2023 · Hashimoto, Kohjiro et al. · indexed
572. Predicting Traffic Hazardous Events Based on Naturalistic Driving Data ↗ · 2018 · Sun, Ping et al. · indexed
573. Connected Vehicle Pilot Deployment Program Phase 1, Human Use Approval Summary, Tampa (THEA) · 2016 · Blue, Victor J. et al. · archived
574. Estimating Driver Personality Traits From On-Road Driving Data · 2023 · Kimura, Ryusei et al. · archived
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580. Evaluation of car-pedestrian incident data conversion technique in near-miss incident database to use driving simulator scenarios · 2016 · Tsutsumi, Shigeyoshi et al. · archived
581. Observation of Real Driving Behavior in Car-Following: Preliminary Results ↗ · 2005 · Taehyung Kim et al. · indexed
582. A Method of Intelligent Driving-Style Recognition Using Natural Driving Data ↗ · 2024 · Zhang, Siyang et al. · indexed
583. Deep Learning Approach for Detecting Lane Change Maneuvers Using SHRP2 Naturalistic Driving Data ↗ · 2022 · Das, Anik et al. · indexed
584. TartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics Models ↗ · 2022 · Triest, Samuel et al. · indexed
585. Driver Distraction Impact on Road Safety: A Data-driven Simulation Approach ↗ · 2021 · Kandeel, Amany A. et al. · indexed
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587. Analysis of Distribution, Frequency, and Duration of Naturalistic Lane Changes ↗ · 2002 · Olsen, Erik C. B. et al. · indexed
588. Perspective, Survey and Trends: Public Driving Datasets and Toolsets for Autonomous Driving Virtual Test ↗ · 2021 · Ji, Pengliang et al. · indexed
589. Evaluation of the Mack Intelligent Vehicle Field Operational Test: September 2006 · 2006 · NHTSA · archived
590. Driving Style Analysis Using Data Mining Techniques · 2010 · Constantinescu, Zoran et al. · archived
591. Capturing Driver Status Using Naturalistic Driving Study Data: Implications for Assessing Health and Safety ↗ · 2022 · Binjolkar, Mayuree et al. · indexed
592. OpenLKA: An Open Dataset of Lane Keeping Assist Systems in Real-World Driving from Recent Production Cars ↗ · 2026 · Wang, Yuhang et al. · indexed
593. DriverMVT: In-Cabin Dataset for Driver Monitoring including Video and Vehicle Telemetry Information ↗ · 2022 · Othman, Walaa et al. · indexed
594. Driver Impairment Detection & Safety Enhancement Through Comprehensive Volatility Analysis [Slides] · 2021 · Khattak, Asad J. et al. · archived
595. Location-based analysis of car-following behavior during braking using naturalistic driving data ↗ · 2020 · Tawfeek, Mostafa H. et al. · indexed
596. International Traffic Injury Databases ↗ · 2025 · Almadani, Hashim MN · indexed
597. On vehicle data acquisition system ↗ · 2011 · Kucera, Pavel et al. · indexed
598. Examination of Crash Contributing Factors Using National Crash Databases · 2003 · Campbell, Brittany N. et al. · archived
599. Phase 2 Data Privacy Plan (DPP)— Safe Trips in a Connected Transportation Network ITS4US Deployment Project · 2023 · Wakhisi, Kofi et al. · archived
600. Visual Sensory and Visual-Cognitive Function and Rate of Crash and Near-Crash Involvement Among Older Drivers Using Naturalistic Driving Data ↗ · 2017 · Huisingh, Carrie et al. · indexed
601. Design and Development of a Computer-Aided In-Vehicle Data Acquisition System for Driving Pattern Analysis ↗ · 1999 · Sunwoo, Myoungho et al. · indexed
602. The Role of Artificial Intelligence and Machine Learning in Federally Supported Surface Transportation Initiatives : [brochure] · 2018 · NHTSA · archived
603. Driver Identification Using Accelerometers Data and Optimized Dataset Construction: A Naturalistic Driving Study ↗ · 2024 · Zhou, Hongmei et al. · indexed
604. Turner-Fairbank Highway Research Center - Office of Safety and Operations Research and Development (R&D) · 2023 · NHTSA · archived
605. 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. · indexed
606. Improving driver decisions and performance in high-speed, multilane, complex conditions. · 2009 · NHTSA · archived
607. The Development of Crash Modification Factors: Highway Safety Statistical Paper Synthesis · 2020 · Donnell, Eric T. et al. · archived
608. Data processing procedures for identifying driver/vehicle properties associated with the control of headway ↗ · 2002 · Fancher, P. et al. · indexed
609. On Performance Evaluation of Driver Hand Detection Algorithms: Challenges, Dataset, and Metrics ↗ · 2015 · Das, Nikhil et al. · indexed
610. Driving behavior differences between crash-involved and crash-not-involved drivers using urban traffic surveillance data ↗ · 2016 · Hongxin, Chen et al. · indexed
611. Investigating the intra-driver heterogeneity in car following behaviour based on large-scale naturalistic driving study ↗ · 2023 · Rao, Hongyu et al. · indexed
612. Sweden/Michigan naturalistic field operational test - phase 1 : benefits of origin and destination information in IntelliDrive data sets · 2009 · Dion, Francois et al. · archived
613. Ascertainment of On-Road Safety Errors Based on Video Review · 2009 · Dawson, Jeffrey D et al. · archived
614. Driving simulator validation of driver behavior with limited safe vantage points for data collection in work zones ↗ · 2014 · Bham, Ghulam H. et al. · indexed
615. State Data System: Crash Data Report: 1990-1999 · 2002 · NHTSA · archived
616. Analysis of in-vehicle driver behaviour data for improved safety ↗ · 2011 · Jensen, M. et al. · indexed
617. Development of Speed Crash Modification Factors (CMFs) Using SHRP2 Roadway Information Database (RID), Volume I: Final Report · 2024 · Das, Subasish et al. · archived
618. In-Depth Evaluation of Association between Crash and Hand Arthritis via Naturalistic Driving Study · 2022 · Almannaa, Mohammed et al. · archived
619. My Precious Crash Data: Barriers and Opportunities in Encouraging Autonomous Driving Companies to Share Safety-Critical Data ↗ · 2025 · Sandhaus, Hauke et al. · indexed
620. Exploratory Advanced Research Program Research Associates Program 2018 : [brochure] · 2019 · NHTSA · archived
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624. Comparison of automated vehicle struck-from-behind crash rates with national rates using naturalistic data · 2021 · Goodall, Noah J. · archived
625. Unified Reporting of Commercial and Non-Commercial Traffic Accidents · 2001 · Kirk, M. et al. · archived
626. Research on The Safety Boundary of Intersection Car-Following Scenarios Based on Naturalistic Driving Behavior Study ↗ · 2022 · Wu, Biao et al. · indexed
627. Driving Behavioral Learning Leveraging Sensing Information from Innovation Hub · 2022 · Di, Xuan et al. · archived
628. Driving motion capture based driver behavior analysis ↗ · 2012 · Shi, Jianjun et al. · indexed
629. Characterizing Level 2 Automation in a Naturalistic Driving Fleet · 2024 · Perez, Miguel A et al. · archived
630. Evaluation of Naturalistic Driving Behavior Using In-Vehicle Monitoring Technology in Preclinical and Early Alzheimer’s Disease · 2020 · Davis, Jennifer et al. · archived
631. Validity and reliability of naturalistic driving scene categorization Judgments from crowdsourcing ↗ · 2018 · Cabrall, Christopher D.D. et al. · indexed
632. Compendium of student papers : 2008 Undergraduate Transportation Scholars Program. · 2008 · Hawkins, H. Gene. · archived
633. Making NGSIM Data Usable for Studies on Traffic Flow Theory ↗ · 2013 · Montanino, Marcello et al. · indexed
634. A strategic framework for road safety analysis in the connected and autonomous vehicle era ↗ · 2025 · Siddiqui, Abdul Basith et al. · indexed
635. A Cloud-Based Environment-Aware Driver Profiling Framework using Ensemble Supervised Learning ↗ · 2019 · Abdelrahman, Abdalla et al. · indexed
636. Investigation on the wrong way driving crash patterns using multiple correspondence analysis · 2017 · Das, Subasish · archived
637. Inaccuracy of Federal Highway Administration's Licensed Driver Data: Implications on Young Driver Trends ↗ · 2014 · Curry, Allison E. et al. · indexed
638. CoDEA: A framework for extraction and augmentation of cooperative lane-changing scenarios from naturalistic driving data ↗ · 2026 · Li, Ye et al. · indexed
639. Real-World Use of Partially Automated Driving Systems and Driver Impressions ↗ · 2020 · Kim, Hyungil et al. · indexed
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641. Investigating the Significant Individual Historical Factors of Driving Risk Using Hierarchical Clustering Analysis and Quasi-Poisson Regression Model ↗ · 2020 · Naji, Hasan A.H. et al. · indexed
642. Consumer Complaints and Traffic Fatalities: Insights from the NHTSA Vehicle Owner’s Complaint Database ↗ · 2012 · Ghazizadeh, Mahtab et al. · indexed
643. Initial development of prototype performance model for highway design · 1997 · Levinson, William H. · archived
644. Study on Driving Behavior Characteristics of Vehicles Through Curved Road Scenarios ↗ · 2025 · Xu, Chuankang et al. · indexed
645. NADS versus CAMP Closed-Course Comparison Examining “Last-Second” Braking and Steering Maneuvers under Various Kinematic Conditions · 2005 · Curry, R. C. et al. · archived
646. Field Test of New Mobile System for the Collection of Crash and Citation Data in Nevada · 2018 · Paz, Alexander et al. · archived
647. 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. · archived
648. Lane Change Inconsistencies in the highD Dataset ↗ · 2025 · Wang, Zhaohan et al. · indexed
649. Driver Behavior on Exit Freeway Ramp Terminals Based on the Naturalistic Driving Study ↗ · 2023 · Alyamani, Mohannad et al. · indexed
650. Unsupervised Identification of Driving Styles from Naturalistic Driving Data Through a Context-Normalized Framework ↗ · 2026 · Xu, Cunzhi et al. · indexed
651. Image Data Extraction and Driving Behavior Analysis Based on Geographic Information and Driving Data ↗ · 2023 · Lin, Huei-Yung et al. · indexed
652. Assessing the Effectiveness of the Wyoming Connected Vehicle Pilot Program: New Traffic Safety Research Perspectives · 2022 · Ahmed, Mohamed M. et al. · archived
653. Application of Real Field Connected Vehicle Data for Aggressive Driving Identification on Horizontal Curves ↗ · 2017 · Jahangiri, Arash et al. · indexed
654. A study on traffic accidents involving pedestrians facing the backward by using driving simulator and near-miss incident database · 2017 · TSUTSUMI, Shigeyoshi et al. · archived
655. Supplemental information for "Vision and Radar Steering Reduces Agricultural Sprayer Operator Stress without Compromising Steering Performance" ↗ · 2022 · Burgers, Travis · indexed
656. An Observational Evaluation of Safety and Operations Resulting From Driver Distraction · 2015 · Romoser, Matthew R. E. et al. · archived
657. Ivi Problem Areas Description: Motor Vehicle Crashes - Data Analyses And Ivi Program Emphasis · 1999 · NHTSA · archived
658. Framework for Reliability-Based, Safety-Explicit Horizontal Curve Design using Naturalistic Driving Data ↗ · 2019 · Dhahir, Bashar et al. · indexed
659. Truck Platooning Early Deployment Assessment: Phase 2 Test and Evaluation Plan · 2022 · Lu, Xiao-Yun et al. · archived
660. NHTSA's National Advanced Driving Simulator Research Program ↗ · 2005 · Garrott, W. Riley et al. · indexed
661. Using mobile devices for driving test assessment: a study of acceleration and GPS data ↗ · 2024 · Driessen, Tom et al. · indexed
662. Hazard Detection in Driving Simulation using Deep Learning ↗ · 2021 · Pawar, Piyush et al. · indexed
663. Does Older Adults’ Self-Regulation of Driving Improve Safety? An Examination of Objective and Subjective Driving Patterns in the AAA LongROAD Study · 2024 · AAA Foundation for Traffic Safety · archived
664. Coverage Metrics for a Scenario Database for the Scenario-Based Assessment of Automated Driving Systems ↗ · 2024 · de Gelder, Erwin et al. · indexed
665. Assessing the relationship between self-reported driving behaviors and driver risk using a naturalistic driving study ↗ · 2019 · Wang, Xuesong et al. · indexed
666. THE DATA-DRIVEN PATTERN FOR HEALTHY BEHAVIORS OF CAR DRIVERS BASED ON DAILY RECORDS OF TRAFFIC COUNT DATA FROM 2018 TO 2019 NEAR AIRPORTS: A FUNCTIONAL DATA ANALYSIS · 2020 · Fayaz, Mohammad et al. · archived
667. Classifying Advanced Driver Assistance System (ADAS) Activation from Multimodal Driving Data: A Real-World Study ↗ · 2025 · Lee, Gihun et al. · indexed
668. Quantifying the effect of roadway, driver, vehicle, and location characteristics on the frequency of longitudinal and lateral accelerations ↗ · 2021 · Ali, Gibran et al. · indexed
669. Collective Data Sharing to Improve on Driving Efficiency and Safety ↗ · 2014 · Riener, Andreas et al. · indexed
670. A validation of the low mileage bias using naturalistic driving study data ↗ · 2017 · Antin, Jonathan F. et al. · indexed
671. Lessons Learned during Two Naturalistic Truck-Driving Studies ↗ · 2003 · Neale, Vicki L. et al. · indexed
672. Analysis Of The Relation Between Vehicle And Physiological Data ↗ · 2025 · Sándor, Ágoston Pál · indexed
673. Chunking: A procedure to improve naturalistic data analysis ↗ · 2012 · Dozza, Marco et al. · indexed
674. Potential Crash Rate Benchmarks for Automated Vehicles · 2021 · Goodall, Noah J. · archived
675. Driving Style Recognition Based on Lane Change Behavior Analysis Using Naturalistic Driving Data ↗ · 2020 · Gao, Zhen et al. · indexed
676. Human Contributions to Safety Data Testbed Flight Simulation Study: Data Methods, Processing, and Quality · 2025 · Fettrow, Tyler et al. · archived
677. A Review of Research on Driving Styles and Road Safety ↗ · 2015 · Sagberg, Fridulv et al. · indexed
678. Exploring Crowdsourced Hard—Acceleration and Braking Event Data for Evaluating Safety Performance of Low-Volume Rural Highways in Iowa · 2023 · Mahmud, Shoaib et al. · archived
679. Identifying and managing data quality requirements: a design science study in the field of automated driving · 2023 · Pradhan, Shameer Kumar et al. · archived
680. Exploring the stop sign running at all-way stop-controlled intersections with the SHRP2 naturalistic driving data ↗ · 2022 · Liu, Chenhui et al. · indexed
681. Public Roads Vol. 78 No. 5 · 2015 · Paniati, Jeffery F. et al. · archived
682. Getting start with UTDrive: driver-behavior modeling and assessment of distraction for in-vehicle speech systems ↗ · 2007 · Angkititrakul, Pongtep et al. · indexed
683. ITS data management system : year one activities · 1997 · Turner, Shawn M. et al. · archived
684. RSS Model Calibration and Evaluation for AV Driving Safety based on Naturalistic Driving Data ↗ · 2021 · Huang, Yiwen et al. · indexed
685. Road design influence on driving behaviors: The influence of curve design, a case study ↗ · 2025 · Coropulis, Stefano et al. · indexed
686. PandaSet: Advanced Sensor Suite Dataset for Autonomous Driving · 2021 · Xiao, Pengchuan et al. · archived
687. Objectively Derived and Self-Reported Measures of Driving Exposure and Patterns Among Older Adults: AAA LongROAD Study · 2019 · AAA Foundation for Traffic Safety · archived
688. Evaluation of driving performance in relation to safety on an expressway using field driving data ↗ · 2019 · Charly, Anna et al. · indexed
689. Lifetime Driver Learning Initiative · 1997 · Crow, Ed et al. · archived
690. TravTek Evaluation Safety Study · 1996 · Perez, William A. et al. · archived
691. Segment level safety analysis using lane-changing behavior and driving volatility features from connected vehicle trajectories · 2025 · Han, Lei et al. · archived
692. Effect of Freeway Level of Service and Driver Education on Truck Driver Stress: Phase 1 · 2012 · Sharma, Anuj et al. · archived
693. Optimizing Test Case Sampling for Safety Validation of Automated Driving System with Naturalistic Driving Study · 2025 · Guo, Feng et al. · archived
694. Roadway Human Factors and Behavioral Safety in Europe · 2005 · Keith, Kevin et al. · archived
695. Design and Implementation of a Multimodal Driver Data Collection and Processing Apparatus for Naturalistic Driving Scenarios ↗ · 2025 · Chen, Ke et al. · indexed
696. Steering or braking avoidance response in SHRP2 rear-end crashes and near-crashes: A decision tree approach ↗ · 2021 · Sarkar, Abhijit et al. · indexed
697. Assessing safety critical driving patterns of heavy passenger vehicle drivers using instrumented vehicle data – An unsupervised approach ↗ · 2021 · Yarlagadda, Jahnavi et al. · indexed
698. Analysis and Experimental Refinement of Real-World Driving Cycles ↗ · 2002 · Dembski, N. et al. · indexed
699. Updating Rhode Island’s strategic highway safety plan (SHSP). · 2012 · NHTSA · archived
700. Connecticut Department of Transportation safety techniques enhancement plan. · 2015 · Scopatz, Robert A. et al. · archived
701. A New Paradigm for Rear-end Crash Prevention Driving Performance ↗ · 2001 · Burgett, August L. et al. · indexed
702. Analysis of Driver Behavior Questionnaire Variables on Driving Safety: Literature Review ↗ · 2023 · Sofyan, Diana Khairani et al. · indexed
703. A Study on the Analysis of Driver Behavior in Traffic Accidents Using Driving Video Recorder ↗ · 2015 · Cha, Yun-Chul et al. · indexed
704. Vehicle Trajectory Collection and Processing Methodology and Its Implementation ↗ · 2008 · Xin, Wuping et al. · indexed
705. The role of the instrumented vehicle in the collection of data on driver behaviour ↗ · 1997 · McDonald, M. · indexed
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707. Holistically Identifying Road Complexity and Relating It to Fatal Crashes · 2025 · Wang, Meng et al. · archived
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709. Advanced Crash Avoidance Technologies (ACAT) Program - Final Report of the Volvo-Ford-UMTRI Project: Safety Impact Methodology for Lane Departure Warning - Method Development and Estimation of Benefits · 2010 · Gordon, T. et al. · archived
710. Naturalistic Spatial Road Safety Analysis: The SmartMaps Project · 2026 · Nikolaou, Dimitrios et al. · archived
711. Combined Behavioral and Engineering Approach to Preventing Highway Fatalities · 2022 · Blandford, Benjamin et al. · archived
712. Using naturalistic driving data to identify variables associated with infrequent, occasional, and consistent seat belt use ↗ · 2013 · Reagan, Ian J. et al. · indexed
713. Road Data Aggregation and Sectioning Considerations for Crash Analysis ↗ · 2009 · Koorey, Glen · indexed
714. Developing Artificial Intelligence Driven Safe Navigation Tool · 2023 · Das, Subasish et al. · archived
715. Understanding Driving Behaviors and Traffic Crashes among University Commuter Drivers ↗ · 2025 · Alshehri, Abdulaziz H. · indexed
716. Trajectory data-based traffic flow studies: A revisit ↗ · 2020 · Li, Li et al. · indexed
717. To Trust or Not to Trust? A Simulation-Based Experimental Paradigm [supporting datasets] · 2019 · Knodler Jr., Michael A. et al. · archived
718. A Multimodal Approach for Monitoring Driving Behavior and Emotions ↗ · 2020 · Tavakoli, Arash et al. · indexed
719. Visual analysis of driving styles from vehicle experiment data ↗ · 2017 · Zhu, Xianglei et al. · indexed
720. Driver Behavior at Highway-Rail Grade Crossings Using NDS and Driving Simulators · 2020 · Lautala, Pasi Tapio et al. · archived
721. Driver behaviour profiles for road safety analysis ↗ · 2015 · Ellison, Adrian et al. · indexed
722. The development of a vehicle operation data acquisition driving simulator ↗ · 2014 · Zhao, Shuanfeng · indexed
723. Method for the Use of Naturalistic Driving Study Data to Analyze Rear-End Crash Sequences ↗ · 2015 · Wu, Kun-Feng et al. · indexed
724. Combined impact of road and traffic characteristic on driver behavior using smartphone sensor data ↗ · 2020 · Petraki, Virginia et al. · indexed
725. Effects of the driving context on the usage of Automated Driver Assistance Systems (ADAS) -Naturalistic Driving Study for ADAS evaluation ↗ · 2020 · Orlovska, Julia et al. · indexed
726. Driving style analysis based on information from the vehicle · 2019 · Lasocki, Jakub et al. · archived
727. Assessing Connected Vehicle Data Coverage on New Jersey Roadways · 2022 · Dimitrijevic, Branislav et al. · archived
728. Enhancing Driver Safety During Severe Weather Conditions · 2019 · Atiquzzaman, Mohammed et al. · archived
729. Distracted Driver Detection and Driver Rating System using Deep Learning ↗ · 2023 · Gusain, Amit et al. · indexed
730. Adaptive driver modelling in ADAS to improve user acceptance: A study using naturalistic data · 2018 · Fleming, James M. et al. · archived
731. Development of a Speeding-Related Crash Typology · 2010 · Council, Forrest M. et al. · archived
732. Smartphone sensing for understanding driving behavior: Current practice and challenges ↗ · 2020 · Mantouka, Eleni G. et al. · indexed
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734. Study of road safety from the position of driver information load ↗ · 2024 · Pugachev, I. N. et al. · indexed
735. Automated Data Curation Using GPS &amp; NLP to Generate Instruction-Action Pairs for Autonomous Vehicle Vision-Language Navigation Datasets · 2025 · Guillermo, Roque, et al. · archived
736. Impact of Access Management on Driver Behaviors · 2023 · Cuddy, Matthew et al. · archived
737. Overestimation of self-reported driving exposure: Results from the SHRP2 Naturalistic Driving Study ↗ · 2019 · Friedrich, Trista E. et al. · indexed
738. Connected Vehicle Pilot Deployment Program Phase 3, Understanding and Enabling Cooperative Driving for Advanced Connected Vehicles in New York City – New York City Department of Transportation (NYCDOT) · 2021 · Talas, Mohamad et al. · archived
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740. Learning from Human Naturalistic Driving Behavior at Stop Signs for Autonomous Vehicles ↗ · 2019 · Tavassoli, Abtine et al. · indexed
741. ASSESSING THE IMPACT OF ROADWAY CHARACTERISTICS ON OLDER DRIVERS USING NATURALISTIC DRIVING DATA ↗ · 2018 · Wang, S et al. · indexed
742. Can vehicle longitudinal jerk be used to identify aggressive drivers? An examination using naturalistic driving data ↗ · 2017 · Feng, Fred et al. · indexed
743. Extracting Vehicle Trajectories from Partially Overlapping Roadside Radar ↗ · 2024 · Schrader, Maxwell et al. · indexed
744. Event-related driver stress detection with smartphones in an urban environment: a naturalistic driving study ↗ · 2024 · Zhou, Xin et al. · indexed
745. Advancing Drugged Driving Data at the State Level: Synthesis of Barriers and Expert Panel Recommendations · 2016 · AAA Foundation for Traffic Safety · archived
746. Summary of LongROAD Research on Older Drivers from the AAA Foundation for Traffic Safety: 2017–2025 · 2025 · AAA Foundation for Traffic Safety · archived
747. Prevalence of Drowsy Driving Crashes: Estimates from a Large-Scale Naturalistic Driving Study · 2018 · AAA Foundation for Traffic Safety · archived
748. 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. · indexed
749. Will vehicle data be shared to address the how, where, and who of traffic accidents? ↗ · 2019 · de Winter, J. C. F. et al. · indexed
750. Parameterized road databases for driving simulation ↗ · 2011 · Guo, Dahai · indexed
751. New Brunswick Innovation Hub Smart Mobility Testing Ground · 2024 · Jin, Peter J. et al. · archived
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753. OpenACC. An open database of car-following experiments to study the properties of commercial ACC systems · 2021 · Makridis, Michail et al. · archived
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755. Analysis of unprotected intersection left-turn conflicts based on naturalistic driving data ↗ · 2017 · Wang, Xinpeng et al. · indexed
756. Driver behavior event detection for manual annotation by clustering of the driver physiological signals ↗ · 2016 · Li, Nanxiang et al. · indexed
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758. Examination of General Motors Super Cruise system field effects using state police report crash data ↗ · 2025 · Leslie, Andrew J. et al. · indexed
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763. Virtual Reality Vehicle Simulator Phase 1 [supporting datasets] · 2022 · Lawlor, Orion et al. · archived
764. Analysis under Vehicle-Pedalcyclist Risk Scenario Based on Comparison between Real Accident and Naturalistic Driving Data ↗ · 2018 · Zeng, Yufan et al. · indexed
765. An integrated methodology for real-time driving risk status prediction using naturalistic driving data ↗ · 2021 · Shangguan, Qiangqiang et al. · indexed
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767. Crash Trifecta: A Complex Driving Scenario Describing Crash Causation ↗ · 2022 · J. Dunn, Naomi et al. · indexed
768. Effect of Using Mobile Phones on Driver’s Control Behavior Based on Naturalistic Driving Data · 2019 · Zhang, Lanfang et al. · archived
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783. Real-World Driving Features for Identifying Intelligent Driver Model Parameters ↗ · 2021 · Hegde, Bharatkumar et al. · indexed
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794. A Traffic Flow Simulation Framework for Learning Driver Heterogeneity from Naturalistic Driving Data using Autoencoders ↗ · 2019 · Yurtsever, Ekim et al. · indexed
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797. Turns and Downturns in Aging Drivers · 2026 · Hardt, Marie et al. · archived
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804. On the human control of vehicles: an experimental study of acceleration ↗ · 2013 · Bosetti, Paolo et al. · indexed
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807. Naturalistic Studies of Driver Distraction: Effects of Analysis Methods on Odds Ratios and Population Attributable Risk ↗ · 2013 · Young, Richard A · indexed
808. Catboost - SHapley Additive exPlanations (SHAP) car following model: Explaining model features in mixed traffic conditions ↗ · 2026 · Cui, Tianyang et al. · indexed
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820. Characterizing Cultural Differences in Naturalistic Driving Interactions ↗ · 2024 · DiPirro, Rachel et al. · indexed
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824. Modeling road user response timing in naturalistic traffic conflicts: A surprise-based framework ↗ · 2024 · Engström, Johan et al. · indexed
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826. NADS AT THE UNIVERSITY OF IOWA: A TOOL FOR DRIVING SAFETY RESEARCH ↗ · 2001 · Papelis, Yiannis · indexed
827. An Empirical Investigation of Speed Patterns on S‐Curves Using Naturalistic Driving Data and Mixed Logit Model ↗ · 2025 · Lei, Cailin et al. · indexed
828. Evaluating Relationships between Perception-Reaction Times, Emergency Deceleration Rates, and Crash Outcomes using Naturalistic Driving Data ↗ · 2020 · Wood, Jonathan S. et al. · indexed
829. Driver Danger-Level Monitoring System Using Multi-Sourced Big Driving Data ↗ · 2020 · Yin, Jia-Li et al. · indexed
830. CoDR: Correlation-Based Data Reduction Scheme for Efficient Gathering of Heterogeneous Driving Data ↗ · 2020 · Park, Junho et al. · indexed
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833. Crash Pattern Heterogeneity in Automated Vehicles Across Varying Levels of Automation · 2026 · Usman, Sheikh Muhammad · archived
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882. MMDrive: Multi-Modal Remote Physiological Signal Measurement Dataset for Driver Status Monitoring ↗ · 2025 · Choi, Jiho et al. · indexed
883. Data Acquisition and Processing for the Optimization of an Algorithm for Vehicle Safety Objective Rating Metrics and Injury Severity Prediction ↗ · 2024 · Williams, Katelyn et al. · indexed
884. Classification of Level 2 Driving Events Observed on Public Roads · 2021 · Rao, Sughosh J. et al. · archived
885. One-month beijing taxi GPS trajectory dataset with taxi IDs and vehicle status ↗ · 2018 · Lian, Jing et al. · indexed
886. Development of an errorable car-following driver model ↗ · 2010 · Yang, H.-H. et al. · indexed
887. Driving with Influence: Exploring Crash Factors of Automated Systems in Different Roadway Contexts ↗ · 2026 · Astle, W. Abram et al. · indexed
888. Evaluating Older Drivers’ Reaction to Forward Collision Warning (FCW) and Automated Emergency Braking (AEB) Under Conditions of Distraction Using a Driving Simulation · 2025 · Shirani, Niloufar et al. · archived
889. Implementation of the AASHTO Highway Safety Manual · 2012 · Turner, Daniel S. et al. · archived
890. Report to Congress on the National Highway Traffic Safety Administration ITS Program : program progress during 1992-1996 and strategic plan for 1997-2002 · 1997 · NHTSA · archived
891. Machine learning approaches exploring the optimal number of driver profiles based on naturalistic driving data ↗ · 2023 · Tselentis, Dimitrios I. et al. · indexed
892. Exploring traffic safety climate with driving condition and driving behaviour: a random parameter structural equation model approach ↗ · 2021 · Xiao, Daiquan et al. · indexed
893. Driver Pattern Identification in Road Crashes in Spain · 2020 · Sanjurjo-De-No, Almudena et al. · archived
894. Analysis of Driver Emergency Steering Behavior Based on the China Naturalistic Driving Data ↗ · 2016 · Wu, Bin et al. · indexed
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896. Driver Attitudes and Choices: Speed Limits, Seat Belt Use, and Drinking-and-Driving ↗ · 2010 · Kweon, Young-Jun et al. · indexed
897. Analysis of volatility in driving regimes extracted from basic safety messages transmitted between connected vehicles · 2017 · Khattak, Asad J. et al. · archived
898. Urban Crash Features Analysis Based on In-Depth Investigation ↗ · 2013 · Li, Weinan et al. · indexed
899. A study of freeway crash risk prediction and interpretation based on risky driving behavior and traffic flow data ↗ · 2021 · Guo, Miao et al. · indexed
900. Predicting hazardous events in work zones using naturalistic driving data ↗ · 2017 · Chang, Yohan et al. · indexed
901. American Driving Survey, 2020–2021 · 2022 · AAA Foundation for Traffic Safety · archived
902. A How-to Guide for Conducting a Statewide Roadside Survey of Alcohol and Other Drugs · 2022 · Thomas, F Dennis et al. · archived
903. 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. · indexed
904. Talking on a Wireless Cellular Device While Driving: Improving the Validity of Crash Odds Ratio Estimates in the SHRP 2 Naturalistic Driving Study ↗ · 2017 · Young, Richard A. · indexed
905. Crash Prediction Models for Older Drivers: A Panel Data Analysis Approach · 1996 · Hu, Patricia et al. · archived
906. A Data-Driven Approach to Implementing Wrong-Way Driving Countermeasures · 2018 · Alluri, Priyanka et al. · archived
907. Simulation on Vehicle Collision Accidents and Vehicle Safe Evaluation Based on Nais Platform ↗ · 2016 · Zicong, Zeng et al. · indexed
908. Evaluation of Not-At-Fault Assumption in Quasi-Induced Exposure Method using Traffic Crash Data at Varied Geographical Levels ↗ · 2019 · Zhao, Shanshan et al. · indexed
909. A Course on Motor Vehicle Trauma: Instructor’s Guide–Final/Users Manual · 1986 · Holden, Janet A. et al. · archived
910. Analysis of Road-User Interaction by Extraction of Driver Behavior Features Using Deep Learning · 2020 · Bichicchi, Arianna et al. · archived
911. Validity and Usability of a Safe Driving Behavior Measure for Older Adults · 2012 · Classen, Sherrilene et al. · archived
912. Characteristics of real-world driving behavior in people with schizophrenia: a naturalistic study utilizing drive recorders · 2025 · Okada, Hiroki et al. · archived
913. Optimal Duration of In-Vehicle Data Recorder Monitoring to Assess Bus Driver Behavior ↗ · 2023 · Shichrur, Rachel et al. · indexed
914. Development of Secondary Highway Accident Countermeasures through Induced Exposure Analysis with Census Information (Phase 2 of Accidents of Secondary Highways and Counter-measures) · 1999 · Stamatiadis, Nikiforos et al. · archived
915. Intelligent Driving Intelligence Test for Autonomous Vehicles with Naturalistic and Adversarial Environment · 2021 · Feng, Shuo et al. · archived
916. SafeDrive: Online Driving Anomaly Detection From Large-Scale Vehicle Data ↗ · 2017 · Zhang, Mingming et al. · indexed
917. Identifying the impact of the COVID-19 pandemic on driving behavior using naturalistic driving data and time series forecasting · 2021 · Katrakazas, Christos et al. · archived
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919. Calibrating Car-Following Models on Urban Streets Using Naturalistic Driving Data ↗ · 2023 · He, Linjia et al. · indexed
920. Advanced Driving Behavior Analytics for an Improved Safety Assessment and Driver Fingerprinting ↗ · 2019 · Bouhoute, Afaf et al. · indexed
921. Quantitative Description of Informational Dimensions of Urban Freeways · 2004 · Tsyganov, Alexei et al. · archived
922. 55 Rides: attention annotated head and gaze data during naturalistic driving ↗ · 2021 · Kübler, Thomas C et al. · indexed
923. Exploratory Analysis of Motorcycle Incidents Using Naturalistic Riding Data ↗ · 2015 · Williams, Vicki H. et al. · indexed
924. Driving After Distal Radius Fractures · 2017 · Caldwell, Lindsey et al. · archived
925. Driving Style Recognition of Taxi Drivers Based on Naturalistic Driving Data ↗ · 2023 · Yan, Pengwei et al. · indexed
926. Exploring Relationships Between Crash Patterns and Vehicle Fleet Age: Are There Empirical Clues in Favour of Partial Driving Automation? ↗ · 2025 · Vittorio, Ranieri et al. · indexed
927. Development of Safety Screening Tool for High Risk Rural Roads in South Dakota · 2011 · Qin, X. et al. · archived
928. Impact of Local/Short Haul Operations on Driver Fatigue [Report] · 2000 · Hanowski, Richard J. · archived
929. 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. · indexed
930. Machine Learning Approach for Predicting Lane-Change Maneuvers using the SHRP2 Naturalistic Driving Study Data ↗ · 2021 · Das, Anik et al. · indexed
931. Associations between drivers’ safety records and driving styles ↗ · 2013 · Merrikhpour, Maryam et al. · indexed
932. Bicycle Naturalistic Data Collection · 2016 · Elhenawy, Mohammed et al. · archived
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934. Elevating Traffic Safety in Native American Communities: A Comprehensive Approach with Online Mapping and Crowdsourcing Solutions · 2025 · Zhang, Su et al. · archived
935. A scientometric analysis and bibliometric review of driver injury severity crashes studies · 2023 · Das, Subasish · archived
936. Exploratory Advanced Research Program : Research Associates Program 2014 · 2014 · NHTSA · archived
937. Perceiving Accident Risks of Urban Naturalistic Driving Environments ↗ · 2024 · Wu, Na et al. · indexed
938. Abnormal Driving Detection Using GPS Data · 2023 · Boateng, Charles et al. · archived
939. Connected and Automated Vehicle (CAV) Testing Scenario Design and Implementation Using Naturalistic Driving Data and Augmented Reality · 2023 · Feng, Yiheng et al. · archived
940. Performance Evaluation of Driving Behavior Identification Models through CAN-BUS Data ↗ · 2020 · Azadani, Mozhgan Nasr et al. · indexed
941. Examining vehicle operating speeds on rural two-lane curves using naturalistic driving data ↗ · 2018 · Wang, Bo et al. · indexed
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943. DeepScenario: City Scale Scenario Generation for Automated Driving System Testing &amp; Evaluation · 2023 · Liu, Henry et al. · archived
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951. 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. · indexed
952. North Dakota: Highway Safety Improvement Program 2021 Annual Report · 2021 · NHTSA · archived
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954. SimCoachCorpus: A naturalistic dataset with language and trajectories for embodied teaching · 2025 · Sumner, Emily et al. · archived
955. A Bayesian Tobit quantile regression approach for naturalistic longitudinal driving capability assessment ↗ · 2020 · Yu, Rongjie et al. · indexed
956. Towards linking driving complexity to crash risk · 2020 · Zurlinden, Hendrik et al. · archived
957. Using Floating Car Data to Analyse the Effects of ITS Measures and Eco-Driving · 2014 · Garcia-Castro, Alvaro et al. · archived
958. Characterizing driver fingerprinting of new energy vehicles in risky scenarios: A naturalistic driving study ↗ · 2025 · Ding, Naikan et al. · indexed
959. Phase 2 – High Visibility Crosswalk Pedestrian Study: Concept to Countermeasure – Research to Deployment Using the SHRP2 Safety Data · 2020 · Majka, Kevin et al. · archived
960. Using wearable devices in naturalistic driving to analyze brain activity in roundabout maneuvers ↗ · 2018 · Monsalve, Borja et al. · indexed
961. Estimating likelihood of future crashes for crash-prone drivers · 2015 · Das, Subasish · archived
962. Prevalence of high-risk behaviors among commercial motor vehicle drivers measured using artificial intelligence for naturalistic data collection ↗ · 2025 · Moran, Ryan et al. · indexed
963. An Investigation of the Factors Surrounding Crashes and Near — Crashes of ADAS-Equipped Vehicles · 2025 · Reyes, Michelle L. et al. · archived
964. AI and Decision Support Systems for Crash Preventability PAR Processing · 2024 · Miller, Andrew et al. · archived
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966. An Investigation of Drowsy Lane Departures from Driving Simulator Studies ↗ · 2026 · Schwarz, Chris et al. · indexed
967. How Do Drivers Interact with In-Vehicle Information Systems in Everyday Driving? Evidence from Large-Scale Naturalistic Data ↗ · 2026 · Hilbert, Jan et al. · indexed
968. Driving Performance Evaluation based on Driving Volatility Measures – A Case Study on Indian Drivers ↗ · 2023 · Yarlagadda, Jahnavi et al. · indexed
969. American Driving Survey, 2014 – 2017 · 2019 · AAA Foundation for Traffic Safety · archived
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971. Do High Visibility Enforcement programs affect aggressive driving behavior? An empirical analysis using Naturalistic Driving Study data ↗ · 2020 · Pantangi, Sarvani Sonduru et al. · indexed
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973. Older driver distraction: A naturalistic study of behaviour at intersections ↗ · 2013 · Charlton, Judith L. et al. · indexed
974. Factors Involved in Fatal Vehicle Crashes · 2010 · NHTSA · archived
975. Discretionary Cut-In Driving Behavior Risk Assessment Based on Naturalistic Driving Data ↗ · 2022 · Gao, Hongbo et al. · indexed
976. Driving Style Classification for Vehicle-Following with Unlabeled Naturalistic Driving Data ↗ · 2019 · Zhang, Xinjie et al. · indexed
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978. Identifying distracted-driving events from on-road observations using a moving vehicle: A case study in New Jersey ↗ · 2022 · Sajid Hasan, Ahmed et al. · indexed
979. Effects of feature selection on lane-change maneuver recognition: an analysis of naturalistic driving data ↗ · 2018 · Li, Xiaohan et al. · indexed
980. A smartphone-based prototype system for incident/work zone management driven by crowd-sourced data · 2015 · Liu, Yue et al. · archived
981. Intelligent Transportation Systems (ITS) Institute Annual Report, 1999/2000 · 2000 · Strege, Nancy · archived
982. Hazardous Driving Event Detection and Analysis System in Vehicular Networks ↗ · 2013 · Oh, Cheol et al. · indexed
983. Discovering Indirect Associations in Crash Data through Probe Attributes ↗ · 2008 · Pande, Anurag et al. · indexed
984. Preventing Crashes in Mixed Traffic With Automated and Human-Driven Vehicles · 2020 · Talebpour, Alireza et al. · archived
985. Driver behavior analysis at highway-rail grade crossings using field operational test data – light vehicles · 2013 · Ngamdung, Tashi et al. · archived
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987. Driving in search of analyses ↗ · 2017 · Bruce Simons‐Morton · indexed
988. Using Multiple Correspondence Analysis for large driving signals database exploration. Example with lane narrowing and curves ↗ · 2010 · Loslever, P. et al. · indexed
989. Midwest Transportation Consortium : 2010-2011 annual report. · 2011 · NHTSA · archived
990. The Advancing Understanding of Transportation Options (AUTO) study: design and methods of a multi-center study of decision aid for older drivers · 2021 · Betz, Marian E. et al. · archived
991. Analysis of mobile phone use engagement during naturalistic driving through explainable imbalanced machine learning ↗ · 2023 · Ziakopoulos, Apostolos et al. · indexed
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996. An investigation on the link between driver demographic characteristics and distracted driving by using the SHRP 2 naturalistic driving data ↗ · 2020 · Cao, Haotian et al. · indexed
997. Public Roads Vol. 79 No. 5 · 2016 · Jones, Nicole et al. · archived
998. <b>F</b>rustration <b>R</b>ecognition <b>U</b>sing <b>S</b>patio <b>T</b>emporal Data: A Novel Dataset and GCN Model to Recognize In-Vehicle Frustration ↗ · 2023 · Bosch, Esther et al. · indexed
999. Physiological and driving behaviour changes associated to different road intersections · 2020 · Distefano, Natalia · archived
1000. Typical Acceleration Profiles for Left-Turn Maneuvers Based on SHRP2 Naturalistic Driving Data ↗ · 2021 · Flynn, Thomas I. et al. · indexed
1001. Modeling Speed and Comfort Threshold on Horizontal Curves of Rural Two-Lane Highways Using Naturalistic Driving Data ↗ · 2019 · Dhahir, Bashar et al. · indexed
1002. USING NATURALISTIC DRIVING DATA TO ASSESS VARIATIONS IN FUEL EFFICIENCY AMONG INDIVIDUAL DRIVERS ↗ · 2010 · LeBlanc, David J. et al. · indexed
1003. The use of navigation systems in naturalistic driving ↗ · 2016 · Knapper, Allert et al. · indexed
1004. Young Drivers and Highway Design and Operations: Findings and Recommended Research · 2001 · NHTSA · archived
1005. Association of Physical Function With Driving Space and Crashes Among Older Adults · 2018 · Ng, Linda S. et al. · archived
1006. Quantifying visual road environment to establish a speeding prediction model: An examination using naturalistic driving data ↗ · 2019 · Yu, Bo et al. · indexed
1007. Lane-Change Detection From Steering Signal Using Spectral Segmentation and Learning-Based Classification ↗ · 2017 · Zheng, Yang et al. · indexed
1008. Motivations for Speeding, Volume II: Findings Report · 2013 · Richard, Christian M. et al. · archived
1009. Driving Performances Assessment Based on Speed Variation Using Dedicated Route Truck GPS Data ↗ · 2019 · Li, Ying et al. · indexed
1010. Critical Reasons for Crashes Investigated in the National Motor Vehicle Crash Causation Survey ↗ · 2015 · Singh, Santokh · indexed
1011. Impacts of Smartphones’ Distraction on Driving Behavior: Naturalistic Data Collection Using A Smartphone Application ↗ · 2023 · Attwa, Mohamed et al. · indexed
1012. Modeling Lane-Changing Behavior in Freeway Off-Ramp Areas from the Shanghai Naturalistic Driving Study ↗ · 2018 · Zhang, Lanfang et al. · indexed
1013. Analysis of roadway departure crashes on two-lane rural roads in Texas. · 2011 · Lord, Dominique et al. · archived
1014. Exploring Contributing Factors of Hazardous Events in Construction Zones Using Naturalistic Driving Study Data ↗ · 2020 · Chang, Yohan et al. · indexed
1015. Construction of the Interaction Database between Driver, Vehicle and Traffic for a Study of Assessment Tool of Driver Acceptance of Driver Support Systems ↗ · 2015 · Moon, Chulwoo et al. · indexed
1016. Aging Road User Survey and Crash Analysis to Identify Issues and Applicable Improvement Strategies for Kansas Conditions · 2018 · Dissanayake, Sunanda et al. · archived
1017. Distracted Driving Translational Research for Injury Prevention (TRIP) Laboratory · 2018 · Stavrinos, Despina · archived
1018. Accounting for Driver Distraction and Socioeconomic Characteristics in a Crash Risk Index: Naturalistic Driving Study ↗ · 2017 · Ye, Mengqiu et al. · indexed
1019. Investigating and Developing Methods for Traditional Participant-based Data Collection with Remote Experimenters · 2023 · Miller, Marty · archived
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1021. Interpretable Quantification of Scene-Induced Driver Visual Load: Linking Eye-Tracking Behavior to Road Scene Features via SHAP Analysis ↗ · 2025 · Ni, Jie et al. · indexed
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1024. Leveraging Naturalistic Driving Digital Biomarkers for Early Mild Cognitive Impairment Detection: Deep Learning Strategies (Preprint) ↗ · 2025 · Al-Hindawi, Firas et al. · indexed
1025. MobiScout: A scalable cloud-based driving and activity monitoring platform featuring an IOS app and a WatchOS extension ↗ · 2023 · Adu-Gyamfi, Kojo Konadu et al. · indexed
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1027. Exploiting Big Data for Experiment Reporting: The Hi-Drive Collaborative Research Project Case ↗ · 2023 · Capello, Alessio et al. · indexed
1028. Evaluating the Driving Safety of Heavy Trucks of Third-Party Logistics Companies in the Absence of Crash Information ↗ · 2023 · Zhang, Changjian et al. · indexed
1029. 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. · indexed
1030. Personality, functional performance, and travel patterns related to older drivers’ risky driving behavior: A naturalistic driving study ↗ · 2025 · Zhu, Yuanfang et al. · indexed
1031. Distraction in Commercial Trucks and Buses: Assessing Prevalence and Risk in Conjunction with Crashes and Near-Crashes [Tech Brief] · 2010 · NHTSA · archived
1032. Safety of Mixed Traffic · 2025 · Huang, Chunxi et al. · archived
1033. Learning the Driver Acceleration/Deceleration Behavior Under High-Speed Environments From Naturalistic Driving Data ↗ · 2022 · Liu, Chenhui et al. · indexed
1034. Analysis of the Relationship Between Physiological Signals and Vehicle Maneuvers During a Naturalistic Driving Study ↗ · 2019 · Qiu, Yuning et al. · indexed
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1039. Home neighborhood, Driving Exposure and Safety among Older Adults: a Mediation Analysis from the LongROAD Study · 2024 · Shi, X M et al. · archived
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1041. &lt;p&gt;Alertness-Related Differences in Car-Following Strategy among Truck Drivers Based on Naturalistic Driving Data&lt;/p&gt; ↗ · 2026 · Liu, Yang et al. · indexed
1042. Unveiling pre-crash driving behavior common features based upon behavior entropy ↗ · 2024 · Xie, Ning et al. · indexed
1043. Factors Contributing to South Dakota Crash and Fatality Rates · 2005 · Drake, Maria L et al. · archived
1044. A hybrid data mining framework to investigate roadway departure crashes on rural two-lane Highways: Applying Fast and Frugal Tree with Association Rules Mining ↗ · 2025 · Hossain, Ahmed et al. · indexed
1045. DashGaze: Driver Gaze Through Dashcam ↗ · 2025 · John, Thrupthi Ann et al. · indexed
1046. Evaluating Older Drivers’ Reaction to Forward Collision Warning (FCW) and Automated Emergency Braking (AEB) Systems Under Conditions of Distraction Using a Driving Simulator · 2025 · Olufowobi, Oluwaseun et al. · archived
1047. Evaluation of left-turn lane offset using the naturalistic driving study data ↗ · 2015 · Hutton, Jessica M. et al. · indexed
1048. Risk-Aware Car-Following Behavior Characterization in Foggy Weather on Urban Expressways Using Naturalistic Driving Data ↗ · 2025 · Chen, Yanyi et al. · indexed
1049. Investigation of Rural Roadway Departures · 2022 · Burbidge, Shaunna K. et al. · archived
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1052. Vehicle Consumer Complaint Reports Involving Severe Incidents: Mining Large Contingency Tables · 2018 · Das, Subasish et al. · archived
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1056. Designing a Multi-Modal Vehicle Data Capture System for Forensic Accident Analysis · 2025 · Helmi, Wibowo et al. · archived
1057. Process for the Validation of Using Synthetic Driving Cycles Based on Naturalistic Driving Data Sets ↗ · 2020 · Esser, Arved et al. · indexed
1058. Driving Reality vs Simulator: Data Distinctions ↗ · 2024 · Piaseczna, Natalia et al. · indexed
1059. Analysis of Driver Behaviour Towards Road Safety Measures Using Driver Behaviour Questionnaire ↗ · 2022 · B, Haritha et al. · indexed
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1061. REVIEW OF TRAFFIC DATA COLLECTION METHODS FOR DRIVERS’ CAR – FOLLOWING BEHAVIOUR UNDER VARIOUS WEATHER CONDITIONS ↗ · 2016 · Shariff, Mey et al. · indexed
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1063. Use of Data Recorder for Driver Rating ↗ · 2006 · Mundke, Rahul et al. · indexed
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1067. Study of Test and Evaluation Scenario for L2 level Intelligent Cruising Assist System Based on Natural Driving Data ↗ · 2020 · Junfu, Huang et al. · indexed
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1070. Non-Parametric Association Rules Mining and Parametric Ordinal Logistic Regression for an In-Depth Investigation of Driver Speed Selection Behavior in Adverse Weather using SHRP2 Naturalistic Driving Study Data ↗ · 2020 · Nasim Khan, Md et al. · indexed
1071. Characterizing Heterogeneous Car-Following Behaviors of Human Drivers in Mixed Traffic · 2024 · Sun, Meng et al. · archived
1072. Exploratory Advanced Research Program : Research Associates Program 2016 · 2017 · NHTSA · archived
1073. A two-step segmentation algorithm for behavioral clustering of naturalistic driving styles ↗ · 2013 · Higgs, Bryan et al. · indexed
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1075. Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning · 2024 · Sachdeva, Enna et al. · archived
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1077. Crowd-sensing driving environments using headway dynamics (demo paper) ↗ · 2022 · Gordon, Richard et al. · indexed
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1080. Analysis of the Structure of Driver Maneuvers in Different Road Conditions ↗ · 2022 · Jurecki, Rafał et al. · indexed
1081. Traffic Safety Facts 2008: A Compilation of Motor Vehicle Crash Data From the Fatality Analysis Reporting System and the General Estimates System · 2008 · NHTSA · archived
1082. Evaluation of Connected Vehicle Applications on Mahan Corridor, Phase I · 2021 · Moses, Ren · archived
1083. Enhancing and Calibrating the Rakha-Pasumarthy-Adjerid Car-Following Model using Naturalistic Driving Data ↗ · 2014 · Sangster, John D. et al. · indexed
1084. Analysis of Contributing Factors in Crashes Involving Electric Vehicles and Vehicles with Automated Features · 2025 · Harper, Corey et al. · archived
1085. Examining Heterogeneity of Driver Behavior with Temporal and Spatial Factors ↗ · 2013 · Ellison, Adrian B. et al. · indexed
1086. Identification of high-risk roadway segments for wrong-way driving crash using rare event modeling and data augmentation techniques ↗ · 2023 · Ashraf, Md Tanvir et al. · indexed
1087. Safety and Operational Assessment of Gap Acceptance Through Large-Scale Field Evaluation ↗ · 2023 · Tupper, Steven Maxwell · indexed
1088. Driving speed model development using driving data obtained from smartphone sensors ↗ · 2020 · Tselentis, Dimitrios I. et al. · indexed
1089. ARE OLDER DRIVERS’ DRIVING PATTERNS DURING AN ON-ROAD DRIVING TASK REPRESENTATIVE OF THEIR REAL-WORLD DRIVING? ↗ · 2018 · Koppel, S et al. · indexed
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1091. Using Business Intelligence to Analyze Road Traffic Accidents ↗ · 2022 · Awad, Mohammed et al. · indexed
1092. Scaling a Real-Time Driving Behaviour Analysis System ↗ · 2016 · Cabral, Bruno · indexed
1093. Identification of Risk Scenario Parameters Utilizing a Near-Miss Incident Database for Safety Assessment of Autonomous Driving Systems ↗ · 2025 · Yoshitake, Hiroshi et al. · indexed
1094. State of the Practice of Crash Reporting in the U.S. and Implications for CAV Safety Assessment · 2024 · Acharya, Sailesh et al. · archived
1095. Towards Efficient Risky Driving Detection: A Benchmark and a Semi-Supervised Model ↗ · 2024 · Cheng, Qimin et al. · indexed
1096. Using big data safety analytics for proactive traffic management ↗ · 2015 · A. Abdel-Aty, Mohamed · indexed
1097. Driving Behavior Identification and Real-World Fuel Consumption Estimation With Crowdsensing Data · 2022 · Pirayre, Aurélie et al. · archived
1098. Do adaptive cruise control and lane keeping systems make the longitudinal vehicle control safer? Insights into speeding and time gaps shorter than one second from a naturalistic driving study with SAE Level 2 automation · 2022 · Varotto, Silvia F. et al. · archived
1099. Analysis of Parking Search Behavior with Video from Naturalistic Driving ↗ · 2016 · Hampshire, Robert C. et al. · indexed
1100. Naturalistic driving analysis of situational, behavioral, and psychosocial determinants of speeding ↗ · 2024 · Payyanadan, Rashmi et al. · indexed
1101. Classification of Inter-Urban Highway Drivers’ Resting Behavior for Advanced Driver-Assistance System Technologies using Vehicle Trajectory Data from Car Navigation Systems · 2020 · Choi, Jaeheon et al. · archived
1102. Detecting lane change maneuvers using SHRP2 naturalistic driving data: A comparative study machine learning techniques ↗ · 2020 · Das, Anik et al. · indexed
1103. A Framework for Driving Intention Estimation in Real-World Scenarios ↗ · 2020 · Huang, He et al. · indexed
1104. Spatiotemporal representation of driving scenarios and classification using neural networks ↗ · 2017 · Gruner, Richard et al. · indexed
1105. ODOT research news : spring 2009. · 2009 · NHTSA · archived
1106. Driver Behavior in Mixed Traffic with Autonomous Vehicles ↗ · 2026 · Rezwana, Saki et al. · indexed
1107. Construction of Key Factor Model of Car Side-Impact Occupant Injury Based on Nais Deep Investigation of Traffic Accident Data ↗ · 2020 · Wang, Yan et al. · indexed
1108. Investigating emotion fluctuations in driving behaviors of online car-hailing drivers using naturalistic driving data ↗ · 2024 · Ma, Yongfeng et al. · indexed
1109. Identifying High Crash Risk Highway Segments Using Jerk-Cluster Analysis ↗ · 2019 · Mousavi, Seyedeh Maryam et al. · indexed
1110. 2013–2014 National Roadside Study of Alcohol and Drug Use by Drivers: Alcohol Results · 2016 · Ramirez, Anthony et al. · archived
1111. Midwest Transportation Consortium : 2009-2010 annual report. · 2010 · NHTSA · archived
1112. Characterizing driver speeding behavior when using partial-automation in real-world driving · 2022 · Haus, Samantha H. et al. · archived
1113. Visualizing Road Appearance Properties in Driving Video ↗ · 2016 · Wang, Zheyuan et al. · indexed
1114. Driver Education for Safety in Adverse Driving Conditions · 2008 · Skolnik, Jonathan et al. · archived
1115. Understanding head and hand activities and coordination in naturalistic driving videos ↗ · 2014 · Martin, Sujitha et al. · indexed
1116. 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. · archived
1117. Does agreement mean accuracy? Evaluating glance annotation in naturalistic driving data ↗ · 2020 · Jansen, Reinier J. et al. · indexed
1118. Jerky driving—An indicator of accident proneness? ↗ · 2011 · Bagdadi, Omar et al. · indexed
1119. Hours of Service and Driver Fatigue: Drive Characteristics Research · 2011 · NHTSA · archived
1120. Vehicle Trajectory Data Processing, Analytics, and Applications: A Survey ↗ · 2025 · Liu, Chenxi et al. · indexed
1121. A Review of Surrogate Safety Measures Uses in Historical Crash Investigations ↗ · 2023 · Nikolaou, Dimitrios et al. · indexed
1122. Driving Risks and Behavior by Speed Zone ↗ · 2025 · Niimi, Yoshihiro et al. · indexed
1123. Driver Head Pose Detection From Naturalistic Driving Data ↗ · 2023 · Chai, Weiheng et al. · indexed
1124. A dynamic avoidance mobility model for the following car using naturalistic driving data ↗ · 2021 · Zhang, Xingguo et al. · indexed
1125. Measurement of Driving Patterns of Older Adults Using Data Logging Devices with and without Global Positioning System Capability ↗ · 2007 · Marshall, Shawn C. et al. · indexed
1126. Traffic Safety, a National Problem: A Symposium · 1967 · NHTSA · archived
1127. An Analysis of Distributional Shifts in Automated Driving Functions in Highway Scenarios ↗ · 2022 · Candido, Oliver De et al. · indexed
1128. Safety impacts of reduced visibility in inclement weather. · 2017 · Das, Subasish et al. · archived
1129. Assessing safety in horizontal curves using surrogate safety measures and machine learning · 2025 · Nadimi, Navid et al. · archived
1130. Research on the Influence of ADAS Equipment on Driving Smoothness on Freeway Using Natural Driving Test Data ↗ · 2020 · Yun, Meiping et al. · indexed
1131. Secure and Private Sensing for Driver Authentication and Transportation Safety : Final Report · 2017 · Voris, Jonathan et al. · archived
1132. B11 Driving Behavior Analysis for Accident Prone Area using Realtime Simulator · 2005 · Noguchi, Kentaro et al. · archived
1133. Characterizing Driving Context from Driver Behavior ↗ · 2017 · Moosavi, Sobhan et al. · indexed
1134. From emotion to safety-critical events: The temporal causal pathways in naturalistic driving ↗ · 2026 · Jiang, B et al. · indexed
1135. Extraction of Road Users' Behavior from Realistic Data According to Assumptions in Safety-Related Models for Automated Driving Systems ↗ · 2023 · Certad, Novel et al. · indexed
1136. Public Perception of the Collection and Use of Connected Vehicle Data · 2021 · Acharya, Sailesh et al. · archived
1137. Crash data reporting systems in fourteen Arab countries: challenges and improvement ↗ · 2020 · Abounoas, Zahira et al. · indexed
1138. Cooperative Driving and Collective Navigation Architectures for CCAVs: Contemporary Techniques, Simulators, Datasets, and Research Directions · 2026 · Ahiska, Kenan · archived
1139. Enhancing Highway Safety: Accident Detection on the A9 Test Stretch Using Roadside Sensors · 2025 · Zimmer, Walter et al. · archived
1140. Analysis of cut-in behavior based on naturalistic driving data ↗ · 2019 · Wang, Xuesong et al. · indexed
1141. Naturalistic Driving Study Investigating Self-Regulation Behavior in Early Alzheimer’s Disease: A Pilot Study ↗ · 2018 · Paire-Ficout, Laurence et al. · indexed
1142. Safe Driving Using Mobile Phones · 2012 · Fazeen, Mohamed et al. · archived
1143. The Safety Performance of Passenger Carrier Drivers · 2012 · NHTSA · archived
1144. Human factors study of driver assistance systems to reduce lane departures and side collision accidents. · 2008 · Johnson, Steven L. · archived
1145. Crashing Left vs. Right: Examining Navigation Asymmetries Using the SHRP2 Naturalistic Driving Study Data ↗ · 2017 · Friedrich, Trista E. et al. · indexed
1146. Analyzing Crash-Prone Drivers in Multiple Crashes for Better Safety Educational and Enforcement Strategies · 2014 · Das, Subasish · archived
1147. Effects of Urban Street Environment on Operating Speeds · 2008 · Dixon, Karen K. et al. · archived
1148. Public Roads Vol. 71 No. 3 · 2007 · Armstrong, Amit et al. · archived
1149. Learning naturalistic driving environment with statistical realism ↗ · 2023 · Yan, Xintao et al. · indexed
1150. Compendium of student papers : 2009 undergraduate transportation engineering fellows program. · 2009 · Senesi, Christopher et al. · archived
1151. A Field Evaluation of Safety Issues in Local/short Haul Trucking ↗ · 2000 · Hanowski, Richard J. et al. · indexed
1152. Characteristics of Rear-End Collisions: A Comparison between Automated Driving System-Involved Crashes · 2024 · Huang, Chunxi et al. · archived
1153. Reducing fatalities and severe injuries on Florida’s high-speed multi-lane arterial corridors : part II, analysis of the crash level data, final report, April 2009 · 2009 · Abdel-Aty, Mohamed et al. · archived
1154. Driver Modeling Based on Vehicular Sensing Data ↗ · 2018 · Wang, Zhuowen et al. · indexed
1155. Motivations for Speeding - Additional Data Analysis · 2016 · Richard, Christian M. et al. · archived
1156. NIOSH national survey of long-haul truck drivers: Injury and safety · 2015 · Chen, Guang X. et al. · archived
1157. Economic externalities of relative accident rates. · 2008 · Martinelli, David et al. · archived
1158. Intervehicle Safety Warning Information System for Unsafe Driving Events ↗ · 2012 · Oh, Cheol et al. · indexed
1159. Construction and Application of the Tea-Horse Road Area Flood Resilience Dataset (THR-FRD) ↗ · 2026 · Ai, Mei · indexed
1160. LSTM + Transformer Real-Time Crash Risk Evaluation Using Traffic Flow and Risky Driving Behavior Data ↗ · 2024 · Han, Lei et al. · indexed
1161. Modeling injury severity among motor vehicle occupants using a safe system-aligned, population-based framework: evidence from Ohio crash data (2017-2023). · 2026 · Harden, AL et al. · archived
1162. Automated Driving Systems (ADS) Operational Behavior and Traffic Regulations Information – Concept of Use · 2020 · Garrett, Kyle et al. · archived
1163. Preparing for the update of New Hampshire’s strategic highway safety plan. · 2015 · NHTSA · archived
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1165. Automated Vehicle Recommendations for Texas: A Study of Highway and Urban Operational Design Domains · 2023 · Chin, Kristie et al. · archived
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1167. Road Safety Performance Indicators: Theory. Deliverable D3.6 of the EU FP6 project SafetyNet. ↗ · 2007 · Auerbach-Hafen, Kerstin et al. · indexed
1168. Accident data analysis and on-field inspections: do they lead to similar conclusions? · 2020 · Persia, Luca et al. · archived
1169. Systematic literature review on driving behavior ↗ · 2017 · Vilaca, Afonso et al. · indexed
1170. Data-Driven Traffic Simulation: A Comprehensive Review · 2024 · Chen, Di et al. · archived
1171. Assessment of Contextual Complexity and Risk Using Unsupervised Clustering Approaches with Dynamic Traffic Condition Data Obtained from Autonomous Vehicles · 2024 · Ogle, Jennifer H et al. · archived
1172. Research on Older Adults’ Mobility: 2023 Meeting Summary Report · 2023 · Mastromatto, Tia et al. · archived
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1174. Work Zone Crash Performance Data Measurement · 2018 · Mishra, Sabyasachee et al. · archived
1175. Topic Models from Crash Narrative Reports of Motorcycle Crash Causation Study · 2021 · Das, Subasish et al. · archived
1176. Human Factors Guidelines for Road Systems: Second Edition ↗ · 2012 · Campbell, John L. et al. · indexed
1177. Connected Vehicle Safety Pilot Program · 2011 · NHTSA · archived
1178. Severity Analysis of Secondary Crashes on High-Speed Roadways: Pattern Recognition Using Association Rule Mining ↗ · 2024 · Hossain, Md Mahmud et al. · indexed
1179. Benefit Assessment of New Ecological and Safe driving Algorithm using Naturalistic Driving Data ↗ · 2018 · Dehkordi, Sepehr Ghasemi et al. · indexed
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1182. Road Safety Fundamentals: Concepts, Strategies, and Practices that Reduce Fatalities and Injuries on the Road · 2017 · Carter, Daniel et al. · archived
1183. Methodology of the Large Truck Crash Causation Study · 2005 · Blower, Daniel et al. · archived
1184. Estimation of Safety Benefits for Heavy-Vehicle Crash Warning Applications Based on Vehicle-to-Vehicle Communications · 2017 · Guglielmi, John et al. · archived
1185. Estimation of the vehicle-pedestrian encounter/conflict risk on the road based on TASI 110-car naturalistic driving data collection ↗ · 2014 · Tian, Renran et al. · indexed
1186. The Transition to Unsupervised Driving · 2011 · AAA Foundation for Traffic Safety · archived
1187. Passenger vehicle driver cell phone use : results from the fall 2000 National Occupant Protection Use Survey · 2001 · Utter, Dennis · archived
1188. Impacts of different feedback features on driver behaviour: Findings from a multiphase naturalistic study ↗ · 2026 · Kontaxi, Armira et al. · indexed
1189. Are deceleration numbers a suitable index for road safety? ↗ · 2018 · Ahmadinejad, Mahmoud et al. · indexed
1190. Measuring Changes in Teenage Driver Crash Characteristics During the Early Months of Driving · 2011 · AAA Foundation for Traffic Safety · archived
1191. Traffic Safety Facts 2007: a Compilation of Motor Vehicle Crash Data from the Fatality Analysis Reporting System and the General Estimates System · 2007 · NHTSA · archived
1192. Evaluating the risk factors related to alcohol-impaired driving using the SHRP 2 naturalistic driving study ↗ · 2026 · Wang, Manhua et al. · indexed
1193. The Naturalistic Study of Distracted Driving: Moving from Research to Practice ↗ · 2011 · Hanowski, Richard Joseph · indexed
1194. Field Testing of ADAS Technologies in Naturalistic Driving Conditions ↗ · 2025 · Skokan, Adam · indexed
1195. Fitness to drive in early stage dementia : an instrumented vehicle study. · 2009 · Eby, David W. et al. · archived
1196. Phase 1 Human Use Approval Summary: ARC ITS4US Deployment Project · 2022 · Wakhisi, Kofi et al. · archived
1197. Fatal intersection crashes in Norway: Patterns in contributing factors and data collection challenges ↗ · 2012 · Ljung Aust, Mikael et al. · indexed
1198. National Transportation Statistics (NTS) 2017 [4th Quarter] · 2018 · Sprung, Michael J. et al. · archived
1199. A Framework for Automated Driving System Testable Cases and Scenarios · 2018 · Thorn, Eric et al. · archived
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1203. Evaluating Crash Avoidance Countermeasures Using Data from FMCSA/NHTSA's Large Truck Crash Causation Study ↗ · 2009 · Kingsley, Kristin · indexed
1204. Developing a Portable Data Acquisition System to Study Road User Behavior · 2023 · Vasudevan, Vinod et al. · archived
1205. Limited Analysis of the Wyoming Department of Transportation Connected Vehicle Pilot Safety Applications · 2022 · Chupp, William et al. · archived
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1211. Detecting anger-provoking events with smartphones: a naturalistic driving study ↗ · 2025 · Wang, Yi et al. · indexed
1212. Decision-adjusted driver risk predictive models using kinematics information · 2021 · Mao, Huiying et al. · archived
1213. Driver Behavior Classification at Intersections and Validation on Large Naturalistic Data Set ↗ · 2012 · Aoude, Georges S. et al. · indexed
1214. A National Survey of Bicyclists and Pedestrians · 2003 · NHTSA · archived
1215. Driver speed selection and crash risk: Insights from the naturalistic driving study ↗ · 2017 · Hamzeie, Raha et al. · indexed
1216. A novel Road User Safety Field Theory for traffic safety assessment applying video analytics · 2022 · Arun, Ashutosh · archived
1217. Strangers in a Strange Land: New Experimental System for Understanding Driving Culture Using VR ↗ · 2022 · Goedicke, David et al. · indexed
1218. Overtaking risk modeling in two-lane two-way highway with heterogeneous traffic environment of a low-income country using naturalistic driving dataset ↗ · 2022 · Mahmud, S.M. Sohel et al. · indexed
1219. Calibrating Car-Following Models on Freeway Based on Naturalistic Driving Study ↗ · 2019 · Sun, Ping et al. · indexed
1220. A Pilot Study to Develop a Brief Question‐Based Screening Tool to Identify Higher‐Risk Older Drivers ↗ · 2012 · Betz, Marian E. et al. · indexed
1221. Driver Electronic Device Use in 2008 · 2009 · Pickrell, Timothy M. et al. · archived
1222. Assessing Safety Performance of Transportation Systems using Microscopic Simulation ↗ · 2008 · Cunto, Flávio José Craveiro · indexed
1223. PERSPECTIVES FOR SURROGATE SAFETY STUDIES IN EAST-EUROPEAN COUNTRIES · 2017 · Ušpalytė-Vitkūnienė, Rasa et al. · archived
1224. Identification of Driving Workload in Plateau Environment: A Naturalistic Driving Study ↗ · 2026 · Yu, Aolin et al. · indexed
1225. Self-Driving Electric Vehicles for Smart and Sustainable Mobility: Evaluation and Feasibility Study for Educational and Medical Campuses · 2021 · Sadek, Adel W et al. · archived
1226. Naturalistic Validation of an On-Road Driving Test of Older Drivers ↗ · 2012 · Ott, Brian R. et al. · indexed
1227. Statewide traffic safety study phase II : identification of major traffic safety problem areas in Louisiana. · 2012 · Wilmot, Chester G. et al. · archived
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1229. Frequency of target crashes for IntelliDrive safety systems · 2010 · Najm, Wassim G et al. · archived
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1235. The impact of sleep disorders on driving safety—findings from the Second Strategic Highway Research Program naturalistic driving study ↗ · 2018 · Liu, Shu-Yuan et al. · indexed
1236. Personal driving diary: Constructing a video archive of everyday driving events ↗ · 2011 · Ryoo, M. S. et al. · indexed
1237. Deriving HD maps for highly automated driving from vehicular probe data ↗ · 2016 · Massow, K. et al. · indexed
1238. Real-World Driving Behavior, Performance, and Risk Following Alcohol and Cannabis Use in Habitual Cannabis Users ↗ · 2026 · Jain, Sparsh et al. · indexed
1239. Safety evaluation method in multi-logical scenarios for automated vehicles based on naturalistic driving trajectory ↗ · 2023 · Zhang, Peixing et al. · indexed
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1248. Passenger Vehicle Idling in Vermont: Year 1 Report · 2012 · Sullivan, Jim et al. · archived
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1250. Analysis of Steering Model for Emergency Lane Change Based on the China Naturalistic Driving Data ↗ · 2017 · Wu, Bin et al. · indexed
1251. Road infrastructure support for highly automated driving · 2025 · Kulmala, Risto · archived
1252. Analysis of Bus Driver Fatigue and Distracted Driving with DMS Warning-Based Data and Association Rules Mining ↗ · 2025 · Yang, Jun et al. · indexed
1253. Traffic Crash Modeling and Driver Behavior Analysis on Mountainous Highways in China ↗ · 2014 · Chen, Ying · indexed
1254. Tool to Evaluate Safety Effects of Changes in Freeway Traffic Flow ↗ · 2004 · Golob, Thomas F. et al. · indexed
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1257. Factors contributing to commercial vehicle rear-end conflicts in China: A study using on-board event data recorders ↗ · 2017 · Bianchi Piccinini, Giulio et al. · indexed
1258. Enhancing the Oregon Crash Reporting Process: A Feasibility Assessment · 2006 · Wilson, Erin et al. · archived
1259. A research of guidance signs adjustment based on naturalistic driving study data ↗ · 2024 · Li, Lei et al. · indexed
1260. Study on Driver Behavior Pattern in Merging Area under Naturalistic Driving Conditions ↗ · 2024 · Li, Yan et al. · indexed
1261. Impacts of Connected Vehicle Technology on Automated Vehicle Safety · 2022 · Herbers, Eileen et al. · archived
1262. Traffic Safety Culture Index · 2019 · AAA Foundation for Traffic Safety · archived
1263. Synthesis of real-world driving cycles using stochastic process and statistical methodology ↗ · 2011 · Lee, Tae Kyung et al. · indexed
1264. Relationship Between Physical Activity and Motor Vehicle Crashes Among Older Adult Drivers · 2019 · Talwar, Amish et al. · archived
1265. Temporal Trends in Indicators of Traffic Safety Culture among Drivers in the United States, 2009–2012 · 2013 · AAA Foundation for Traffic Safety · archived
1266. American Driving Survey: 2024 · 2025 · AAA Foundation for Traffic Safety · archived
1267. North Dakota Statewide Traffic Safety Survey, 2022: Traffic Safety Performance Measures for State and Federal Agencies · 2022 · Vachal, Kimberly et al. · archived
1268. A methodology for assessing driver perception-response time during unanticipated cross-centerline events ↗ · 2021 · Riexinger, Luke E. et al. · indexed
1269. Pattern Recognition for Driving Scenario Detection in Real Driving Data ↗ · 2020 · Montanari, Francesco et al. · indexed
1270. Driver behavior analysis at highway-rail grade crossings using field operational test data - heavy trucks · 2012 · Ngamdung, Tashi et al. · archived
1271. Towards detecting levels of alertness in drivers using multiple modalities ↗ · 2020 · Riani, Kais et al. · indexed
1272. Benefits and challenges of multi‐driver simulator studies ↗ · 2015 · Oeltze, Katharina et al. · indexed
1273. The speechdat-car multilingual speech databases for in-car applications: some first validation results · 1999 · van den Heuvel, Henk et al. · archived
1274. Analysis on the Speed Behavior of the Helix Bridge Based on Naturalistic Driving Patterns ↗ · 2019 · Fu, Jinghou et al. · indexed
1275. Keeping Seniors Safe and Mobile &#8211; An Evaluation of a Local Drive Test Option · 2012 · AAA Foundation for Traffic Safety · archived
1276. Characteristics of older drivers who adopt self-regulatory driving behaviours · 2006 · Charlton, Judith L. et al. · archived
1277. Driver Behaviour Studies in the Motorway Operations Platform Grant ↗ · 2001 · Brackstone, Mark et al. · indexed
1278. Factors Analysis of Perception Bias in Aggressive Driving Behaviors: A Naturalistic Driving Study ↗ · 2020 · Dong, Xiaobo et al. · indexed
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1280. Exploratory analysis of injury severity under different levels of driving automation (SAE Levels 2 and 4) using multi-source data ↗ · 2024 · Ding, Shengxuan et al. · indexed
1281. Connected Vehicle Pilot Deployment Program Phase I: Comprehensive Pilot Deployment Plan: Tampa Hillsborough Expressway Authority (THEA) · 2019 · Johnson, Steven et al. · archived
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1283. Prevalence of Engagement in Single versus Multiple Types of Secondary Tasks: Results from the Naturalistic Engagement in Secondary Task (NEST) Dataset ↗ · 2018 · Risteska, Martina et al. · indexed
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1288. The Prevalence and Impact of Drowsy Driving · 2010 · AAA Foundation for Traffic Safety · archived
1289. A Framework for Developing Driving Cycles with On‐Road Driving Data ↗ · 2010 · Tong, H. Y. et al. · indexed
1290. Clustering drivers by demographic and aberrant driving behavior: implications for traffic injury risk and safety interventions ↗ · 2026 · Abdolrazaghi, Alireza et al. · indexed
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1296. Potentially Critical Driving Situations During “Blue-light” Driving: A Video Analysis ↗ · 2023 · Prohn, Maria et al. · indexed
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1298. Spanish adaptation and validation of the Dula Dangerous Driving Index (DDDI) · 2024 · María T. Sánchez‐López et al. · archived
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1305. Assessment of the Impact of Namibian Rural Road Characteristics on Crash Incidence · 2020 · Ambunda, Robert et al. · archived
1306. Crash Avoidance Technology Evaluation Using Real-World Crash Data · 2020 · Flannagan, Carol A. et al. · archived
1307. Exploring Older Driver Lateral Head Rotations at Intersections Using Naturalistic Driving Data ↗ · 2011 · Antin, Jon et al. · indexed
1308. Critical factors affecting mobile phone use while driving through the exploitation of smartphone sensor data ↗ · 2023 · Akritidou, Sofia et al. · indexed
1309. Analysis of drivers’ deceleration behavior based on naturalistic driving data ↗ · 2020 · Li, Shuang et al. · indexed
1310. Longitudinal Driving Behavior with Integrated Crash-Warning System ↗ · 2013 · LeBlanc, David J. et al. · indexed
1311. Analysis of the influence of traffic variables on lane change manoeuvres decision-making in real-world traffic scenarios ↗ · 2026 · Sanchez-Mateo, Sofia et al. · indexed
1312. Performance evaluation of surrogate measures of safety with naturalistic driving data ↗ · 2021 · Lu, Chang et al. · indexed
1313. Encouraging Data Sharing for Safe Autonomous Driving ↗ · 2020 · Kim, Keonhyeong et al. · indexed
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1315. Synthetic Dataset Generation of Driver Telematics ↗ · 2021 · So, Banghee et al. · indexed
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1317. Missouri Highway Safety Manual Recalibration [2018-01] · 2018 · Sun, Carlos et al. · archived
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1319. Effectiveness of Rumble Stripes on Roadway Safety in Mississippi · 2009 · Sulbaran, Tulio et al. · archived
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1321. Analyzing Pile-Up Crash Severity: Insights from Real-Time Traffic and Environmental Factors Using Ensemble Machine Learning and Shapley Additive Explanations Method · 2024 · Samerei, Seyed Alireza et al. · archived
1322. Driver categorization based on vehicle motion and trajectory data ↗ · 2015 · Mihaly, Andras et al. · indexed
1323. Driving Characteristics Analysis Method Based on Real-World Driving Data ↗ · 2023 · Lee, Sangho et al. · indexed
1324. Advancing Safety-Critical Scenario Generation for Autonomous Vehicle Testing: Integrating In-Depth Crash Data and Advanced Generative Models ↗ · 2025 · Zhang, X. · indexed
1325. Pragmatic overview of surrounding traffic implementation into driving simulator ↗ · 2016 · Matowicki, Michal et al. · indexed
1326. North Dakota Statewide Traffic Safety Survey, 2025: Traffic Safety Performance Measures for State and Federal Agencies · 2025 · Vachal, Kimberly et al. · archived
1327. Extracting Useful Information from Basic Safety Message Data: An Empirical Study of Driving Volatility Measures and Crash Frequency at Intersections ↗ · 2018 · Kamrani, Mohsen et al. · indexed
1328. Simulation of Automated Vehicles&#039; Drive Cycles · 2018 · LeVine, Scott · archived
1329. CARLA: An Open Urban Driving Simulator ↗ · 2017 · Dosovitskiy, Alexey et al. · indexed
1330. The Wagging Foot of Uncertainty: Data Collection and Reduction Methods for Examining Foot Pedal Behavior in Naturalistic Driving ↗ · 2016 · McGehee, Daniel V. et al. · indexed
1331. Driving Cycles Development: Characterization of the Methods ↗ · 1996 · André, Michel · indexed
1332. A Pilot Study on Interactions between Drivers and Pedestrian Features at Signalized Intersections—Using the SHRP2 Naturalistic Driving Study Data ↗ · 2016 · Lin, Pei-Sung et al. · indexed
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1335. Statistical Analysis of Vehicle Crashes in Mississippi Based on Crash Data from 2010 to 2014 · 2017 · Wang, Feng et al. · archived
1336. Methodology for Field Operational Tests of Automated Vehicles ↗ · 2016 · Barnard, Yvonne et al. · indexed
1337. Development of a highway safety fundamental course. · 2015 · Sun, Xiaoduan · archived
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1339. Real Driving Route Simulation for Intelligent Traffic Modelling ↗ · 2022 · Yu, Liangyao et al. · indexed
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1343. Crash Data Safety Factors Evaluation · 2017 · Donnell, Eric T. et al. · archived
1344. Data-driven simulation and parametrization of traffic scenarios for the development of advanced driver assistance systems ↗ · 2015 · Zofka, Marc René et al. · indexed
1345. Microscopic Analysis of Traffic Flow in Inclement Weather · 2009 · Rakha, Hesham et al. · archived
1346. Improvement of Fatal Crash Analysis and Follow-Up · 2018 · Staats, William Nicholas et al. · archived
1347. Motor Vehicle Crashes, Injuries, and Deaths in Relation to Driver Age: United States, 1995 – 2010 · 2012 · AAA Foundation for Traffic Safety · archived
1348. Scenario Classes in Naturalistic Driving: Autoencoder-based Spatial and Time-Sequential Clustering of Surrounding Object Trajectories ↗ · 2020 · Epple, N. et al. · indexed
1349. Analysis of traffic video to develop driver behavior models for microscopic traffic simulation ↗ · 2002 · Hasan, M. et al. · indexed
1350. Crashes Involving Animals: Prevalence and Characteristics · 2026 · AAA Foundation for Traffic Safety · archived
1351. Real-time safety analysis using autonomous vehicle data: a Bayesian hierarchical extreme value model ↗ · 2022 · Kamel, Ahmed et al. · indexed
1352. Naturalistic Driving Scenario Recognition with Multimodal Data ↗ · 2022 · Wang, Ke et al. · indexed
1353. 2000 Michigan traffic crash facts · 2001 · NHTSA · archived
1354. Supplemental data for "Vision and Radar Steering Reduces Agricultural Sprayer Operator Stress without Compromising Steering Performance" ↗ · 2022 · Burgers, Travis · indexed
1355. Enhanced Driver Profiling Through Clustering of Naturalistic Driving Data for Risk Evaluation and Insights ↗ · 2025 · Hermia, J. Janorious et al. · indexed
1356. Computation of driver safety rating using in-vehicle data recorder: Case study of bangkok public transportation ↗ · 2012 · Saiprasert, Chalermpol et al. · indexed
1357. Evaluating Harsh Braking Events as a Surrogate Measure of Crash Risk Using Connected-Vehicle Telematics ↗ · 2026 · Hossain, Md Tufajjal et al. · indexed
1358. Naturalistic Driving Data-Based Anomalous Driving Behavior Detection Using Hypertuned Deep Autoencoders ↗ · 2023 · Abbas, Shafqat et al. · indexed
1359. Not So Fast! An Investigation of Real-World Speeding Behaviors and Underlying Attitudes ↗ · 2013 · Campbell, John L et al. · indexed
1360. Are we ready for highly automated vehicles? Evaluating automated driving systems’ safety and reliability using inverse probability weighted regression adjustment ↗ · 2026 · Adeel, Muhammad et al. · indexed
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1364. Learning Accurate, Comfortable and Human-like Driving · 2019 · Hecker, Simon et al. · archived
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1366. A systematic review of the use of in-vehicle telematics in monitoring driving behaviours ↗ · 2024 · Boylan, James et al. · indexed
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1370. Uncovering Deep Structure of Determinants in Large Truck Fatal Crashes · 2020 · Das, Subasish et al. · archived
1371. Standard definitions for driving measures and statistics ↗ · 2013 · Green, Paul · indexed
1372. Data-Centric Autonomous Driving: A Data-Utilization Framework for Learning from Large-Scale Driving Logs ↗ · 2026 · Li, Yu et al. · indexed
1373. Knowledge about Crash Risk Factors and Self-Reported Driving Behavior: Exploratory Analysis on Multi-State Teen Driver Survey · 2018 · Das, Subasish · archived
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1379. Uncovering crash narratives: enhancing safety reporting for underprotected road users in transit bus collisions ↗ · 2026 · Usman, Sheikh M. et al. · indexed
1380. Improving Law Enforcement and Emergency Response to Disabled Vehicle Crashes Using Waze Crowdsourced Data ↗ · 2023 · Sandt, Adrian et al. · indexed
1381. Effectiveness of Teenage Support System (TDSS) on Reducing Traffic Violation Behaviors for Teenage Drivers at the Early Time of Licensure · 2021 · Disi Tian, M S et al. · archived
1382. Measurement data obtained by an instrumented steering wheel for driver model development ↗ · 2020 · Gobbi, Massimiliano et al. · indexed
1383. Technology in motor vehicle event data acquisition (MVEDA) ↗ · 2002 · Bernacki, J.A. · indexed
1384. General Estimates System Coding Manual 1995 · 1995 · NHTSA · archived
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1386. Road Design on Human Driver Accidents Versus Automated Vehicle Failures: Comparison With Real-World Field Data ↗ · 2024 · Woo, Soomin et al. · indexed
1387. Road Traffic Accidents Analysis In Mexico City Through Crowdsourcing Data And Data Mining Techniques · 2018 · Perez, Gabriela V. Angeles et al. · archived
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1390. Evaluating Drivers’ Response to Road Hazard: A Simulation Study ↗ · 2024 · Javanbakht, Navid et al. · indexed
1391. Overview of emerging road traffic data collection methods · 2021 · Mihalinac, Sandra et al. · archived
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1393. Data Mining and Gap Analysis for Weather Responsive Traffic Management Studies · 2010 · Krechmer, Daniel et al. · archived
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1395. FURTHER ON-THE-ROAD TESTS OF DRIVER INTERFACES : EXAMINATION OF A ROUTE GUIDANCE SYSTEM AND A CAR PHONE ↗ · 1993 · Green, Paul et al. · indexed
1396. The Incidence and Role of Drugs in Fatally Injured Drivers · 1992 · Terhune, K. W. et al. · archived
1397. A Turn in the Road: Real-life Driving Differences in Obstructive Sleep Apnoea and Excessive Daytime Sleepiness ↗ · 2025 · Lee, Kieran O. et al. · indexed
1398. Comparison of Waymo Rider-Only crash rates by crash type to human benchmarks at 56.7 million miles ↗ · 2025 · Kusano, Kristofer D. et al. · indexed
1399. Unsupervised Driving Behavior Primitive Inference via Hierarchical Segmentation and Context-Aware Clustering. ↗ · 2026 · Zhang L et al. · indexed
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1407. Introduction to special issue—Emerging applications of road incidents and driver behaviour data analysis in road safety modelling and evaluation ↗ · 2025 · Mehran, Babak et al. · indexed
1408. Review of Studies on Older Drivers’ Behavior and Stress—Methods, Results, and Outlook ↗ · 2021 · Zhao, Yanning et al. · indexed
1409. Safety on the Italian Highways: Impacts of the Highway Chauffeur System · 2019 · Agriesti, Serio et al. · archived
1410. Incorporating Safety Into the Regional Planning Process in Virginia: Volume II: A Resource Guide · 2010 · Miller, John S et al. · archived
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1412. Ethical self-driving vs data ethics: The norms of coordination and their consequences ↗ · 2022 · Moon, Kyumin · indexed
1413. A study of aberrant driving behaviors and road accidents in Chinese ride-hailing drivers ↗ · 2022 · Shi, Jing et al. · indexed
1414. The Driver Behaviour Questionnaire for older drivers: Do errors, violations and lapses change over time? ↗ · 2018 · Koppel, S. et al. · indexed
1415. Evaluating the Potential Safety Benefits of Electronic Hours-of-Service Recorders Final Report · 2014 · Hickman, Jeffrey S. et al. · archived
1416. How can accident data recorders contribute to road safety? ↗ · 2001 · Null · indexed
1417. Driving Behaviour Style Study with a Hybrid Deep Learning Framework Based on GPS Data ↗ · 2018 · Guo, Jingqiu et al. · indexed
1418. Human Factors Study to Understand Driver Behavior on Managed Lane Facilities · 2025 · Alluri, Priyanka et al. · archived
1419. Analyzing Lane Change Execution Behavior on Expressway Using an Instrumented Vehicle: A Random Effect Accelerated Failure Time Approach ↗ · 2024 · Gupta, Akshay et al. · indexed
1420. Examination of Limitations Associated with Observing Driver Distraction ↗ · 2014 · Wenners, Keith E. et al. · indexed
1421. North Dakota Statewide Traffic Safety Survey, 2024: Traffic Safety Performance Measures for State and Federal Agencies · 2024 · Vachal, Kimberly et al. · archived
1422. An Examination of Fault, Unsafe Driving Acts, and Total Harm in Car-Truck Collisions · 2004 · NHTSA · archived
1423. A machine learning approach to understanding the road and traffic environments of crashes involving driver distraction and inattention (DDI) on rural multilane highways ↗ · 2025 · Yang, Chenxuan et al. · indexed
1424. Will Ride-Hailing Enhance Mobility for Older Adults? A California Survey [supporting dataset] · 2020 · Shirgaokar, Manish et al. · archived
1425. Predicting Future Driving Risk of Crash-Involved Drivers Based on a Systematic Machine Learning Framework ↗ · 2019 · Wang, Chen et al. · indexed
1426. A multi sensor system to evaluate driving behavior in curves ↗ · 2009 · Hoepken, Marc · indexed
1427. Danger Degree Evaluation Method of Crossroad Scenario Based on Naturalistic Driving Analysis ↗ · 2018 · Yan, Yilin et al. · indexed
1428. Low-Cost Strategies to Reduce Speed and Crashes on Curves · 2007 · Hallmark, Shauna et al. · archived
1429. Comparison between Two Quasi-Induced Exposure Methods for Studying Risk Factors for Road Crashes ↗ · 2005 · Pablo Lardelli‐Claret et al. · indexed
1430. NHTSA data reference guide version 4.b. Volume 2, biomechanical tests · 1999 · NHTSA · archived
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1434. A Two-Layer Risky Driver Recognition Model With Context Awareness ↗ · 2021 · Wang, Ke et al. · indexed
1435. Using Naturalistic Methods to Examine Real-World Driving Behavior in Individuals With TBI Upon Return to Driving ↗ · 2019 · Hua, Phuong et al. · indexed
1436. Connected and Automated Vehicles and Safety of Vulnerable Road Users: A Systems Approach · 2018 · McDonald, Noreen C et al. · archived
1437. Making Roads Safer by Making Drivers Better ↗ · 2017 · Balakrishnan, Hari · indexed
1438. Predicting Driver Intent from Models of Naturalistic Driving ↗ · 2015 · Bender, Asher et al. · indexed
1439. Use of Predictive Road Safety Analytics: Integrating Internal and External Driving and Journey Management Data with Power BI ↗ · 2025 · Mendoza, David · indexed
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1447. Multiple Medications and Vehicle Crashes: Analysis of Databases · 2008 · LeRoy, Aida A. et al. · archived
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1450. Guidelines for Evaluating Safety Using Traffic Encounters: Proactive Crash Estimation on Roadways with Conventional and Autonomous Vehicle Scenarios · 2023 · Tarko, Andrew P. et al. · archived
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1452. North Dakota Statewide Traffic Safety Survey, 2021: Traffic Safety Performance Measures for State and Federal Agencies · 2021 · Vachal, Kimberly et al. · archived
1453. Safety Benefits of Speed Limiters in Commercial Motor Vehicles Using Carrier-Collected Crash Data ↗ · 2012 · Hickman, Jeffrey S. et al. · indexed
1454. Louisiana: Highway Safety Improvement Program 2021 Annual Report · 2021 · NHTSA · archived
1455. Identification of Driver Distraction Based on SHRP2 Naturalistic Driving Study ↗ · 2021 · Liu, Zhiqiang et al. · indexed
1456. Relationship between Road Network Characteristics and Traffic Safety · 2018 · Sharif, Hatim et al. · archived
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1461. 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. · indexed
1462. Eco-Driving and Its Impacts on Fuel Efficiency: An Overview of Technologies and Data-Driven Methods ↗ · 2020 · Fafoutellis, Panagiotis et al. · indexed
1463. Spatial analysis of harsh driving behavior events in urban networks using high-resolution smartphone and geometric data ↗ · 2021 · Ziakopoulos, Apostolos · indexed
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1466. Driving Performance, Alignment Consistency, and Road Safety ↗ · 2009 · Cafiso, Salvatore et al. · indexed
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1469. Older Driver Compliance with License Restrictions · 2018 · Joyce, John et al. · archived
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1471. Strategic Highway Safety Plan Implementation Process Model: The Essential Eight - Fundamental Elements and Effective Steps for SHSP Implementation · 2010 · NHTSA · archived
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1473. Examining the Impact of Driver Distraction on Speeding Through the Exploitation of Smartphone Sensor Data · 2026 · Papantoniou, Panagiotis et al. · archived
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1477. Adaptive Individual-Level Cognitive Driving Anomaly Detection Model Exclusively Using BSMs ↗ · 2023 · Wu, Di et al. · indexed
1478. The Role of Driving Comfort in Self-Regulation among a Large Cohort of Older Drivers: AAA LongROAD Study · 2019 · AAA Foundation for Traffic Safety · archived
1479. Field Study of Light-Vehicle Crash Avoidance Systems: Automatic Emergency Braking and Dynamic Brake Support · 2018 · Flannagan, Carol A. et al. · archived
1480. The effects of demographics, functioning, and perceptions on the relationship between self-reported and objective measures of driving exposure and patterns among older adults · 2018 · Molnar, Lisa J. et al. · archived
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1482. Saxton Transportation Operations Laboratory Web-Based and Open-Source Tools for Connected and Automated Vehicle (CAV) Research and Deployment [fact sheet] · 2026 · NHTSA · archived
1483. Conflict-Based Real-Time Road Safety Analysis: Sensitivity to Data Collection Duration and its Implications for Model Resilience ↗ · 2023 · Orsini, Federico et al. · indexed
1484. Drug and Alcohol Crash Risk: A Case-Control Study · 2016 · Lacey, John H. et al. · archived
1485. Safety-critical event risk associated with cell phone tasks as measured in naturalistic driving studies: A systematic review and meta-analysis ↗ · 2016 · Simmons, Sarah M. et al. · indexed
1486. 0057 Maryland annual driving survey–understanding the driving culture ↗ · 2015 · Bergen, Gwen et al. · indexed
1487. Sharing the Road: How Human Drivers Interact with Autonomous Vehicles on Highways · 2022 · Huang, Chunxi et al. · archived
1488. YouTube as a Source of Information in Understanding Autonomous Vehicle Consumers: Natural Language Processing Study · 2019 · Das, Subasish et al. · archived
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1490. Deep learning approach for unified recognition of driver speed and lateral intentions using naturalistic driving data ↗ · 2024 · Cheng, Kun et al. · indexed
1491. Analysis of Injury Severity of Drivers Involved Different Types of Two-Vehicle Crashes Using Random-Parameters Logit Models with Heterogeneity in Means and Variances · 2023 · Wu, Qiang et al. · archived
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1493. Adaptation of the multidimensional driving styles inventory for Spanish drivers: Convergent and predictive validity evidence for detecting safe and unsafe driving styles ↗ · 2020 · Padilla, Jose-Luis et al. · indexed
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1495. Investigating Micro-Driving Behavior of Combined Horizontal and Vertical Curves Using an RF Model and SHAP Analysis ↗ · 2024 · Wang, Xiaomeng et al. · indexed
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1501. Trajectory-Based Clustering of Real-World Urban Driving Sequences with Multiple Traffic Objects ↗ · 2021 · Ries, Lennart et al. · indexed
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1514. Highway Safety: Factors Contributing to Traffic Crashes and NHTSA’s Efforts to Address Them: Statement of Peter Guerrero, Director, Physical Infrastructure Issues · 2003 · Guerrero, Peter · archived
1515. Application of the Induced Exposure Method to Compare Risks of Traffic Crashes among Different Types of Drivers under Different Environmental Conditions ↗ · 2001 · Redondo-Calderon, J. L. · indexed
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1517. A Review of the Traffic Accidents and Related Practices Worldwide · 2019 · Mohammed, Ali Ahmed et al. · archived
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1527. KNOWLEDGE DISCOVERY FROM ROAD TRAFFIC ACCIDENT DATA IN ETHIOPIA: DATA QUALITY, ENSEMBLING AND TREND ANALYSIS FOR IMPROVING ROAD SAFETY ↗ · 2012 · Beshah, Tibebe et al. · indexed
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1529. Case Study Assessment of Crash Data Challenges ↗ · 2006 · Benavente, Marta et al. · indexed
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1533. Vision-Based Traffic Conflict Detection of Signalized Intersections · 2018 · Sharma, Anuj · archived
1534. Sensitivity Analysis for Driver Energy Prediction with Environmental Features and Naturalistic Data ↗ · 2018 · Ziegmann, Johannes et al. · indexed
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1540. Categorizing Data-Driven Methods for Test Scenario Generation to Assess Automated Driving Systems ↗ · 2024 · Bäumler, Maximilian et al. · indexed
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1544. What factors affect the match rates of police and emergency department data in Sweden’s road traffic crash database Strada? ↗ · 2026 · Forsman, Åsa et al. · indexed
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1549. A Note on Tesla's revised safety report crash rates · 2024 · Goodall, Noah J. · archived
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1558. Back of Queue Warning and Critical Information Delivery to Motorists · 2019 · Li, Lingxi et al. · archived
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1563. Expected effects of accident data recording technology evolution on the identification of accident causes and liability · 2023 · Vida, Gábor et al. · archived
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1565. Highway Safety Peer-to-Peer Exchange Program · 2010 · NHTSA · archived
1566. Intelligent Vehicle Initiative 2001 Annual Report - Saving Lives Through Advanced Vehicle Safety Technology · 2001 · Resendes, Raymond · archived
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1568. Patterns of rainy weather crashes: Applying rules mining · 2019 · Das, Subasish et al. · archived
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1580. Drivers’ Speeding Behavior on Expressway Curves: Exploring the Effect of Curve Radius and Desired Speed ↗ · 2018 · Dias, Charitha et al. · indexed
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1583. Burden of Road Traffic Injuries in the Eastern Mediterranean Region · 2021 · Sengoelge, Mathilde et al. · archived
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1585. Driver Behavior Profiling Using Smartphones: A Low-Cost Platform for Driver Monitoring ↗ · 2015 · Castignani, German et al. · indexed
1586. STATISTICAL METHODS IN HIGHWAY SAFETY ANALYSIS ↗ · 2001 · Persaud, Bhagwant · indexed
1587. A Combined Index of Proactive and Reactive Data for Rating the Safety of Road Sections · 2024 · AsadAmraji, Morteza et al. · archived
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1595. Minnesota Tribal Road Safety Summit Report · 2009 · Herbel, Susan et al. · archived
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1600. Bias caused by self-reporting distraction and its impact on crash estimates ↗ · 2012 · Hanley, Paul F. et al. · indexed
1601. Event Data Recorder Pre-Crash Data Sources for General Motors Vehicles ↗ · 2003 · Steiner, John C. · indexed
1602. Young Unlicensed Drivers: Three Studies to Understand the Association of Lifestyle and Area Associated Risk · 2010 · Bingham, C. Raymond · archived
1603. Reliable Method for Driving Events Recognition ↗ · 2005 · Mitrovic, D. · indexed
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1609. Dimensions of Motor Vehicle Crash Risk · 2011 · Blincoe, Lawrence J. et al. · archived
1610. Semi-Automated Synthesis of Driving Rules · 2023 · Ortiz, Diego et al. · archived
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1613. Driver Profile and Driving Pattern Recognition for Road Safety Assessment: Main Challenges and Future Directions ↗ · 2023 · Tselentis, Dimitrios I. et al. · indexed
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1615. Diabetes mellitus and hard braking events in older adult drivers · 2024 · Liu, Difei et al. · archived
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1617. An Exploratory Analysis of Curve Trajectories on Two-Lane Rural Highways ↗ · 2018 · Mauriello, Filomena et al. · indexed
1618. Field Operational Test of the Freightliner/Meritor WABCO Roll Stability Advisor and Control at Praxair · 2003 · Winkler, C. et al. · archived
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1620. SAE Level 2 ADAS Performance in Specific Crash-Imminent Scenarios ↗ · 2026 · Beale, Gregory et al. · indexed
1621. A Prospective, Population-Based Study of the Role of Visual Impairment in Motor Vehicle Crashes among Older Drivers: The SEE Study · 2007 · Rubin, Gary S. et al. · archived
1622. National Automotive Sampling System Crashworthiness Data Systems: 1994-1996 · 1999 · NHTSA · archived
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1624. Journal of Transportation and Statistics: Volume 6, Number 1: 2003 · 2003 · NHTSA · archived
1625. DGAZE: Driver Gaze Mapping on Road ↗ · 2020 · Dua, Isha et al. · indexed
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1639. Mining patterns of autonomous vehicle crashes involving vulnerable road users to understand the associated factors · 2021 · Das, Subasish · archived
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1641. Freeways’ Road Safety Analysis Through Accident Database and Human Behavior ↗ · 2025 · Brasile, Claudia et al. · indexed
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1662. IVI governance structure : enabling research and development · 1999 · Resendes, Ray · archived
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1664. Highway Construction Work Zone Safety Performance and Improvement in Louisiana · 2019 · Schneider, Helmut et al. · archived
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1666. Design and Implementation of Vehicle Data real-time Acquisition System ↗ · 2019 · Xie, Peng et al. · indexed
1667. PERILAKU BERKENDARA SEPEDA MOTOR 150 CC MENGGUNAKAN METODE NATURALISTIC DRIVING STUDY DAN DRIVERS BEHAVIOUR QUESTIONNAIRE ↗ · 2023 · Suaib, Fadel et al. · indexed
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1669. Field Implementation and Evaluation of Low-Cost Countermeasures for Wrong-Way Driving Crashes in Alabama · 2020 · Zhou, Huaguo et al. · archived
1670. Young Driver Survey · 2019 · Wilbur, Melanie · archived
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1683. Analysis of Human and Cultural Factors Causing Risk of Accidents in Jordanian Drivers · 2022 · Jadaan, Khair et al. · archived
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1685. American Driving Survey, 2015 – 2016 · 2018 · AAA Foundation for Traffic Safety · archived
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1692. Understanding Health and Well-Being from Naturalistic Driving Behavior ↗ · 2025 · Zhang, Han et al. · indexed
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1713. 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. · indexed
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1715. Learning Driver-Irrelevant Features for Generalizable Driver Behavior Recognition ↗ · 2024 · Gao, Hang et al. · indexed
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1718. Analysis of hourly crash likelihood using unbalanced panel data mixed logit model and real-time driving environmental big data ↗ · 2018 · Chen, Feng et al. · indexed
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1761. In‐fleet structural health monitoring of roadway bridges using connected and autonomous vehicles’ data ↗ · 2024 · Shokravi, Hoofar et al. · indexed
1762. Analysis, Modeling, and Simulation (AMS) Case Studies of Connected and Automated Vehicle (CAV) Implementations Specific to the South Central Region · 2021 · Melson, Christopher et al. · archived
1763. Wisconsin large truck safety and enforcement study. · 2011 · Bill, Andrea et al. · archived
1764. GENERATING PERFORMANCE MEASURES FOR PORTLAND'S ARCHIVED ADVANCED TRAFFIC MANAGEMENT SYSTEM DATA ↗ · 2002 · Bertini, Robert L. et al. · indexed
1765. What do surrogate safety metrics measure? Understanding driving safety as a continuum ↗ · 2024 · Bin-Nun, Amitai Y. et al. · indexed
1766. State of Knowledge on Older Drivers [Traffic Tech] · 2024 · NHTSA · archived
1767. Risk Assessment of Highly Automated Vehicles with Naturalistic Driving Data: A Surrogate-based optimization Method ↗ · 2022 · Zhang, He et al. · indexed
1768. Private Car O-D Flow Estimation Based on Automated Vehicle Monitoring Data: Theoretical Issues and Empirical Evidence ↗ · 2021 · Comi, Antonio et al. · indexed
1769. Advancing Indian Nations’ Motor Vehicle Crash Reporting ↗ · 2021 · Vachal, Kimberly · indexed
1770. Medication use and driving patterns in older drivers: preliminary findings from the LongROAD study · 2020 · Hill, Linda L. et al. · archived
1771. End-To-End Driver Distraction Recognition Using Novel Low Lighting Support Dataset ↗ · 2020 · Saad, Mohamed H. et al. · indexed
1772. Predicting a Driver's Personality from Daily Driving Behavior ↗ · 2019 · Ishikawa, Yuichi et al. · indexed
1773. Modeling Lane Change Gap Acceptance and Duration Using Shanghai Naturalistic Driving Data ↗ · 2018 · Yang, Minming et al. · indexed
1774. Quantification Metrics and Analysis of Human Factor, Workload, and Road Infrastructure ↗ · 2021 · Tignor, Samuel C. · indexed
1775. DeepCrashTest: Turning Dashcam Videos into Virtual Crash Tests for Automated Driving Systems ↗ · 2020 · Bashetty, Sai Krishna et al. · indexed
1776. Correlating Hard-Braking Activity with Crash Occurrences on Interstate Construction Projects in Indiana · 2020 · Desai, Jairaj et al. · archived
1777. A Multimedia Database Application for Vehicle Surveillance System ↗ · 2010 · Fu, Xianping et al. · indexed
1778. Effects of developing data recording technologies on the reliability of accident reconstruction and liability determination · 2025 · Vida, Gábor et al. · archived
1779. Connected Vehicle Applications to Improve Infrastructure Safety and Durability · 2023 · Rubin, Jonathan et al. · archived
1780. Intelligent Network Flow Optimization (INFLO) prototype : Seattle small-scale demonstration plan. · 2015 · Stephens, Denny et al. · archived
1781. Lateral shifting behavior of vehicles at horizontal curves and its influencing factors: application of LightGBM and SHAP ↗ · 2025 · Debbarma, Samrat et al. · indexed
1782. Exploratory Driving Performance and Car-Following Modeling for Autonomous Shuttles Based on Field Data ↗ · 2025 · Favero, Renan et al. · indexed
1783. Where and when do drivers speed? A feasibility study of using probe vehicle data for speeding analysis ↗ · 2020 · Ambros, Jiří et al. · indexed
1784. A Methodology of Making a Real World Driving Pattern (Case Study on Major Indian Cities) ↗ · 2018 · Singh, Bhoopendra et al. · indexed
1785. Concept of Operations for CARMA Integrated Highway Prototype 2 · 2022 · Ma, Jiaqi et al. · archived
1786. Colorado: Highway Safety Improvement Program 2021 Annual Report · 2021 · NHTSA · archived
1787. Examining the impacts of crash data aggregation on SPF estimation ↗ · 2021 · Sengupta, Agnimitra et al. · indexed
1788. Can Intermittent Video Sampling Capture Individual Differences in Naturalistic Driving? ↗ · 2013 · Aksan, Nazan et al. · indexed
1789. 2005 Profile: Turner-Fairbank Highway Research Center · 2006 · NHTSA · archived
1790. AN INVESTIGATION OF VOLUME, SAFETY, AND VEHICLE SPEEDS DURING WINTER STORM EVENTS ↗ · 2000 · Knapp, Keith K · indexed
1791. An Analysis of Drivers Most Responsible for Fatal Accidents versus a Control Sample [1976] · 1976 · NHTSA · archived
1792. Understanding bias in older drivers’ self-reported driving styles using naturalistic driving data ↗ · 2026 · Zhu, Yuanfang et al. · indexed
1793. Safety analysis of passing maneuvers using extreme value theory ↗ · 2017 · Farah, Haneen et al. · indexed
1794. Experimental Reproduction of Accident Prone Area Using a Driving Simulator and Behavioral Analyses in Traffic Conflicts · 2008 · Nishihara, Osamu et al. · archived
1795. HazardVLM: A Video Language Model for Real-Time Hazard Description in Automated Driving Systems ↗ · 2025 · Xiao, Dannier et al. · indexed
1796. Diverse Complexity Measures for Dataset Curation in Self-Driving ↗ · 2021 · Sadat, Abbas et al. · indexed
1797. A Human-like Trajectory Planning Method by Learning from Naturalistic Driving Data ↗ · 2018 · He, Xu et al. · indexed
1798. Characteristics of Work Zone Crashes in the SWZDI Region: Differences and Similarities ↗ · 2009 · Dissanayake, Sunanda et al. · indexed
1799. Continuation of Research on Traffic Safety during the COVID-19 Public Health Emergency: January – June 2021 [Traffic Safety Facts] · 2021 · NHTSA · archived
1800. An autonomous driving advisor: analysis of driving behavior character based on dislocation feature combination ↗ · 2021 · Wen, Long et al. · indexed
1801. Analysis of Different Groups of Drivers and Their Related Driving Behaviour in Urban Areas ↗ · 2011 · Losa, Massimo et al. · indexed
1802. User Information Requirements for Intelligent Vehicle Highway Systems as a Function of Driver Category ↗ · 1993 · Ng, Linda et al. · indexed
1803. Transitioning Roadways to Accommodate Connected and Automated Vehicles: A Pennsylvania Case Study · 2017 · Samaras, Costa et al. · archived
1804. Pocket Guide to Large Truck and Bus Statistics 2015 · 2015 · NHTSA · archived
1805. Impaired Driving Tracking System · 2026 · Okyere, Dennis et al. · archived
1806. SHRP2 Traffic Incident Management Responder Training Program · 2018 · Einstein, Nathan et al. · archived
1807. Older American Drivers and Traffic Safety Culture: A LongROAD Study · 2014 · AAA Foundation for Traffic Safety · archived
1808. Annual Reports for the Montana Department of Transportation Research Programs · 2006 · Sillick, Susan C. et al. · archived
1809. Crash Data Transformation: Applying Generative AI to Standardize and Improve Freeway Incident Reporting ↗ · 2025 · Alam, MD Didarul et al. · indexed
1810. Construction Work Zone Safety: Spatio-Temporal Analysis of Construction Work Zone Crashes · 2024 · Mashhadi, Ali Hassandokht et al. · archived
1811. Investigation of emergency vehicle crashes in the state of Michigan · 2009 · Savolainen, Peter T. et al. · archived
1812. Human driving data-based design of a vehicle adaptive cruise control algorithm ↗ · 2008 · Moon, Seungwuk et al. · indexed
1813. Initiatives to address vehicle compatibility · 2003 · NHTSA · archived
1814. The Road Traffic Advisor project ↗ · 1999 · Herbert, M. · indexed
1815. Validation of a Critical Driving Scenario Identification Algorithm for Automated Driving Functions Using Real and Synthetic Object Lists ↗ · 2025 · Simon, Kevin et al. · indexed
1816. Roadside Assistance Providers Fatally Struck by Vehicles at the Roadside: Incidence and Characteristics · 2024 · AAA Foundation for Traffic Safety · archived
1817. Safety in higher level automated vehicles: Investigating edge cases in crashes of vehicles equipped with automated driving systems ↗ · 2024 · Moradloo, Nastaran et al. · indexed
1818. Density-based clustering for road accident data analysis · 2018 · Alotaibi, Abdullah Shawan · archived
1819. Strategic Highway Safety Plan - Evaluation Process Model · 2013 · NHTSA · archived
1820. Wyoming&#039;s 2010 Report on Traffic Crashes · 2011 · NHTSA · archived
1821. 2002 West Virginia Crash Data · 2003 · NHTSA · archived
1822. Research on Automatic Driving Hazard Cutting Scene Based on Real Driving Data ↗ · 2024 · Liu, Shiman et al. · indexed
1823. Big Data-Based Driving Pattern Clustering and Evaluation in Combination with Driving Circumstances ↗ · 2018 · Si, Lulu et al. · indexed
1824. 169 Risk of road traffic crash, medical factors and behavioural adaptations in elderly drivers ↗ · 2016 · Luxcey, Audrey et al. · indexed
1825. An Open Approach to Autonomous Vehicles ↗ · 2015 · Kato, Shinpei et al. · indexed
1826. Hysteresis effect of comprehensive driving risk in highway tunnel-group: A naturalistic field test study ↗ · 2026 · Meng, Yunwei et al. · indexed
1827. Characterizing Human Feedback-Based Control in Naturalistic Driving Interactions via Gaussian Process Regression with Linear Feedback ↗ · 2025 · DiPirro, Rachel et al. · indexed
1828. Analysis of Ground Ambulance Crash Data From 2012 to 2018 · 2023 · Graham, Lindsey A. et al. · archived
1829. Replicating the Levitt and Porter estimates of drunk driving ↗ · 2020 · Dunn, Richard A. et al. · indexed
1830. Crash risk: How cycling flow can help explain crash data ↗ · 2017 · Dozza, Marco · indexed
1831. Enhancing Safe Traffic Operations Using Connected Vehicles Data and Technologies · 2017 · Li, Zhibin et al. · archived
1832. National Highway Traffic Safety Administration : 1997 customer satisfaction survey · 1998 · Boyle, John M., 1947- et al. · archived
1833. Fatal Wrong-Way Crashes on Divided Highways, United States, 2014-2023 · 2026 · AAA Foundation for Traffic Safety · archived
1834. Strategies to Mitigate Wrong-way Driving Incidents on Arterials · 2019 · Alluri, Priyanka et al. · archived
1835. Driving Safety Risk Prediction Using Cost-Sensitive With Nonnegativity-Constrained Autoencoders Based on Imbalanced Naturalistic Driving Data ↗ · 2019 · Chen, Jie et al. · indexed
1836. Sleep Apnea Crash Risk Study [Final Report] · 2004 · Barr, Lawrence C et al. · archived
1837. Representative Kinematic Sequences for the Road Traffic in France ↗ · 1989 · Crauser, Jean-Pierre et al. · indexed
1838. Naturalistic driving behavior among older adults with and without epilepsy: A pilot study ↗ · 2025 · Williams, Jonathan P. et al. · indexed
1839. Learning When Agents Can Talk to Drivers Using the INAGT Dataset and Multisensor Fusion ↗ · 2021 · Wu, Tong et al. · indexed
1840. Collision prevention: the role of an accident data recorder (ADR) ↗ · 2001 · Needham, P.L. · indexed
1841. How conservative driving behavior increases crash risk: Understanding the systemic safety impacts of older drivers in mixed traffic flows ↗ · 2026 · Xue, Kaiyue et al. · indexed
1842. Safety assessment of Czech motorways and national roads · 2019 · Ambros, Jiří et al. · archived
1843. Area-wide real-world test scenarios of poor visibility for safe development of automated vehicles ↗ · 2018 · Winkle, Thomas et al. · indexed
1844. Mitigation of Lane Departure Crashes in the Pacific Northwest through Coordinated Outreach Phase I, Final Project Report · 2016 · Hurwitz, David et al. · archived
1845. Characterization of Longitudinal Driving Behavior by Measurable Parameters ↗ · 2010 · Wang, Jianqiang et al. · indexed
1846. Cooperative intersection collision avoidance system limited to stop sign and traffic signal violations (CICAS-V). · 2008 · NHTSA · archived
1847. Cross Sectional Crash Severity Analysis among Various Vehicle Driver Characteristics · 2018 · Rassafi, Amir Abbas et al. · archived
1848. Determining Vehicle Operating Speed and Lateral Position Along Horizontal Curves Using Linear Mixed-Effects Models ↗ · 2012 · Fitzsimmons, Eric J. et al. · indexed
1849. Advancing the methodology for predicting the safety effects of highway design and operational elements ↗ · 2021 · Saleem, Taha · indexed
1850. Overtaking &amp;amp; receding vehicle detection for driver assistance and naturalistic driving studies ↗ · 2014 · Satzoda, Ravi Kumar et al. · indexed
1851. Findings from the Candrive/Ozcandrive study: Low mileage older drivers, crash risk and reduced fitness to drive · 2013 · Marshall, Shawn et al. · archived
1852. A Guide to Developing Quality Crash Modification Factors ↗ · 2010 · Groß, Frank et al. · indexed
1853. A Guide to Developing Quality Crash Modification Factors ↗ · 2010 · Groß, Frank et al. · indexed
1854. Work-related traffic crashes: A record linkage study ↗ · 2005 · Boufous, Soufiane et al. · indexed
1855. ROADWAY TRAFFIC CRASH MAPPING: A SPACE-TIME MODELING APPROACH ↗ · 2003 · Miaou, Shaw‐Pin et al. · indexed
1856. Effects of ADAS Availability on Crash Injury Outcomes: Corridor-Level Evidence from a Principal Arterial in Florida ↗ · 2026 · Mutalemwa, Gabriel Nickson et al. · indexed
1857. Modeling a Heavy-duty Vehicle Data Collection Process for Authenticating Driver Identity and Analyzing Driver Behavior Under Duress ↗ · 2024 · Biggs, Tyler et al. · indexed
1858. Comparative Analysis of Parametric and Non-Parametric Data-Driven Models to Predict Road Crash Severity among Elderly Drivers Using Synthetic Resampling Techniques · 2023 · Alrumaidhi, Mubarak et al. · archived
1859. Predicting Damage Incidents, Fines, and Fuel Consumption from Truck Driver Data: A Study from the Netherlands ↗ · 2023 · Driessen, Tom et al. · indexed
1860. Development of Systemic Large Truck Safety Analyses · 2017 · Qi, Yi et al. · archived
1861. Using Cellular Telephones in Vehicles: Safe or Unsafe? ↗ · 1999 · Goodman, Michael J. et al. · indexed
1862. California: Highway Safety Improvement Program 2021 Annual Report · 2021 · NHTSA · archived
1863. Identification of Secondary Crash Risk Factors using Penalized Logistic Regression Model ↗ · 2019 · Kitali, Angela E. et al. · indexed
1864. Safety Performance Functions for Low-Volume Roads · 2011 · Dell’Acqua, Gianluca et al. · archived
1865. Global Road Traffic Fatalities and Injuries ↗ · 2025 · Almadani, Hashim MN · indexed
1866. Northeast Autonomous and Connected Vehicle Summit Report · 2018 · Jackson, Eric et al. · archived
1867. Accident prototypical scenarios, a tool for road safety research and diagnostic studies ↗ · 2001 · Fleury, Dominique et al. · indexed
1868. Older driver population and crash involvement trends, 1974–1988 ↗ · 1992 · Stutts, J C et al. · indexed
1869. Modeling of older adults’ driving exposure and avoidance using objective driving data in a naturalistic driving study ↗ · 2022 · Liang, Dan et al. · indexed
1870. Prevalence of Motor Vehicle Crashes Involving Drowsy Drivers, United States, 2009-2013 · 2014 · AAA Foundation for Traffic Safety · archived
1871. A Study on Driving Performance Along Horizontal Curves of Rural Roads · 2014 · Calvi, Alessandro · archived
1872. Determination of Characteristics of Fatally Injured Drivers · 2001 · Baker, Susan P. et al. · archived
1873. An Analysis of Drivers Most Responsible for Fatal Accidents versus a Control Sample [1975] · 1975 · NHTSA · archived
1874. ADS and Traffic Regulations Voluntary Specifications Development Playbook · 2024 · Garrett, Kyle et al. · archived
1875. Development of Safety Measures of Bicycle Trafflc by Observation wffh Deep-Leamlng, Drive Recorder Data, Probe Blcycle wlth LIDAR, and Connected Simulators · 2022 · Yoshida, Nagahiro et al. · archived
1876. Characterizing car-following behaviors of human drivers when following automated vehicles using the real-world dataset ↗ · 2022 · Wen, Xiao et al. · indexed
1877. Matching Countermeasures to Driver Types and Speeding Behavior · 2017 · Richard, Christian M. et al. · archived
1878. Turner-Fairbank Highway Research Center Organizational and Expertise Directory [Spring 2006] · 2006 · NHTSA · archived
1879. Trends in benzodiazepine anxiolytics and z-hypnotics use among French drivers involved in road traffic crashes from 2005 to 2015: a responsibility case-control study · 2019 · Orriols, Ludivine et al. · archived
1880. Accelerated Evaluation of Automated Vehicles in Car-Following Maneuvers ↗ · 2017 · Zhao, Ding et al. · indexed
1881. Guide to federal intelligent transportation system (ITS) research. · 2013 · NHTSA · archived
1882. Public Roads: A Journal of Highway Research, Vol. 35, No. 9 · 1969 · Stephens, Burton W. et al. · archived
1883. A hybrid deep learning approach for driver anomalous lane changing identification ↗ · 2022 · Fan, Pengcheng et al. · indexed
1884. Development of Educational Materials for the Public and First Responders on the Limitations of Advanced Driving Assistance Systems · 2022 · Rahman, Md Ashikur et al. · archived
1885. Investigating fatal and injury crash patterns of teen drivers with unsupervised learning algorithms ↗ · 2021 · Hossain, Md Mahmud et al. · indexed
1886. Older Driver Estimates of Driving Exposure Compared to In-Vehicle Data in the Candrive II Study ↗ · 2014 · Porter, Michelle M. et al. · indexed
1887. Telling The R&amp;T Story: The Value of Research · 2012 · NHTSA · archived
1888. CH-LSTTM: A Taxonomy of Traffic Hazards · 2024 · Yan, Song et al. · archived
1889. Driver Maneuver Identification with Multi-Representation Learning and Meta Model Update Designs ↗ · 2022 · Tabatabaie, Mahan et al. · indexed
1890. Do Elevated Gravitational-Force Events While Driving Predict Crashes and Near Crashes? ↗ · 2012 · Bruce G. Simons‐Morton et al. · indexed
1891. Freeway Traffic Shockwave Analysis: Exploring NGSIM Trajectory Data ↗ · 2007 · Lu, Xiao‐Yun et al. · indexed
1892. Machine Learning Framework for Real-Time Assessment of Traffic Safety Utilizing Connected Vehicle Data ↗ · 2022 · Mussah, Abdul Rashid et al. · indexed
1893. Analysis of Driver’s Socioeconomic Characteristics Relating to Speeding Behavior and Crash Involvement: A Case Study in Lahore ↗ · 2022 · Javid, Muhammad Ashraf et al. · indexed
1894. Idaho Traffic Collisions, 2002 · 2002 · NHTSA · archived
1895. 1973 U.S. National Roadside Breathtesting Survey: Procedures and Results · 1974 · Wolfe, Arthur C. · archived
1896. Learning-based methods for spatial road safety analysis using in-vehicle telematics data: A systematic review ↗ · 2026 · Paradiso, Simone et al. · indexed
1897. Simulation-Based Logical Scenario Generation and Analysis Methodology for Evaluation of Autonomous Driving Systems ↗ · 2025 · Jeon, Jongwon et al. · indexed
1898. L2 ADAS-ADS data dictionary ↗ · 2024 · Perez, Miguel · indexed
1899. Development of an Interdisciplinary Simulation Environment for Traffic Safety Modeling ↗ · 2014 · McNamara, Margaret · indexed
1900. Completeness of police reporting of traffic crashes in Nepal: Evaluation using a community crash recording system ↗ · 2022 · Khadka, Anish et al. · indexed
1901. A conflict-based approach for real-time road safety analysis: Comparative evaluation with crash-based models · 2021 · Orsini, Federico et al. · archived
1902. Logical Scenario Derivation by Clustering Dynamic-Length-Segments Extracted from Real-World-Driving-Data ↗ · 2019 · Langner, Jacob et al. · indexed
1903. Sleep-related vehicle crashes on low speed roads ↗ · 2017 · Filtness, A.J. et al. · indexed
1904. Effects of Environmental Factors on Naturalistic Driving in Obstructive Sleep Apnea ↗ · 2013 · Yu, Lixi et al. · indexed
1905. Exploring Factors Influencing Speeding on Rural Roads: A Multivariable Approach · 2024 · Ferko, Marija et al. · archived
1906. Bringing smart transport to Texans : ensuring the benefits of a connected and autonomous transport system in Texas—final report. · 2016 · Kockelman, Kara M. et al. · archived
1907. Assessment of the effectiveness of wrong way driving countermeasures and mitigation methods. · 2014 · Finley, Melisa D. et al. · archived
1908. A visualization-supported, hierarchical, action-learning model for driving behavior in a V2X environment ↗ · 2026 · Wang, Xuantong et al. · indexed
1909. Autonomous Vehicles · 2024 · Kemeny, Andras · archived
1910. ODD-based Query-time Scenario Mutation Framework for Autonomous Driving Scenario databases ↗ · 2024 · Tang, Yun et al. · indexed
1911. Safety-critical scenarios and virtual testing procedures for automated cars at road intersections ↗ · 2018 · Nitsche, Philippe · indexed
1912. The NHTSA &amp; NCSDR Program to Combat Drowsy Driving: A Report to Congress on the Collaboration between National Highway Traffic Safety Administration (NHTSA) and the National Center on Sleep Disorders Research (NCSDR) · 1999 · NHTSA · archived
1913. Development of Test Cases for Automated Vehicle Driving Safety Assessment Using Driving Trajectories ↗ · 2024 · Ko, Woori et al. · indexed
1914. Heavy vehicle crashes in Addis Ababa: Relationship between contributing factors and severity of outcomes · 2022 · Tulu, Getu Segni et al. · archived
1915. Incident Clustering: Diagnostic Approach for Assessing Usability of Intersections and Other Road Sites ↗ · 2004 · Hanowski, Richard J. et al. · indexed
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1917. Follow the leader: a deep reinforcement learning framework for safe and efficient autonomous car-following ↗ · 2025 · Marín, Andrés L. et al. · indexed
1918. Near miss road traffic accidents and associated factors among truck drivers in Gamo zone, southern Ethiopia by using a contributory factors interaction model · 2024 · Bekelcho, Tariku et al. · archived
1919. Using naturalistic data to assess e-cyclist behavior · 2015 · Dozza, Marco et al. · archived
1920. Passenger vehicle crashes into stationary large trucks : incidence and possible countermeasures. · 2003 · Roberts, Gary L et al. · archived
1921. Driving-Style Assessment from a Motion Sickness Perspective Based on Machine Learning Techniques · 2023 · Ruiz Colmenares, Jon Ander et al. · archived
1922. Poster: Edge-Assisted Unsafe Driving Detection ↗ · 2023 · Ucar, Seyhan et al. · indexed
1923. Research on Older Adults’ Mobility: 2021 Summary Report · 2022 · Mastromatto, Tia et al. · archived
1924. Effect of Two Lane Non-Urban Highway Geometry on Workload Profile of Drivers ↗ · 2021 · Akkara, Jisha et al. · indexed
1925. Opportunities and Challenges in Cooperative Road Vehicle Automation · 2021 · Shladover, Steven E. · archived
1926. Hidden Highways: Fog and Traffic Crashes on America’s Roads · 2014 · AAA Foundation for Traffic Safety · archived
1927. Road traffic crashes and prescribed methadone and buprenorphine: A french registry-based case–control study · 2012 · Corsenac, Philippe et al. · archived
1928. A pattern analysis of traffic crashes fatal to older drivers ↗ · 2009 · Skyving, Marie et al. · indexed
1929. Results of Car Following Analyses Using Global Positioning System ↗ · 2000 · Wolshon, Brian et al. · indexed
1930. Oregon Freight Data Mart · 2010 · Figliozzi, Miguel et al. · archived
1931. Examination of naturalistic driving behavior and risk events across concussion recovery ↗ · 2025 · Hashida, Kumiko et al. · indexed
1932. Two decades of nonfatal injury data: a scoping review of the National Electronic Injury Surveillance System-All Injury Program, 2001–2021 · 2023 · Navon, Livia et al. · archived
1933. Connected Vehicle Pilot Deployment Program Phase 1, Participant Training and Stakeholder Education Plan – Tampa (THEA). · 2016 · Hamill, Mary et al. · archived
1934. Pocket Guide to Large Truck and Bus Statistics 2016 · 2016 · NHTSA · archived
1935. A Distributed Big Data Analytics Architecture for Vehicle Sensor Data ↗ · 2022 · Alexakis, Theodoros et al. · indexed
1936. Heavy Vehicle Crash Characteristics in Oman : 2009–2011 · 2015 · Al-Bulushi, Islam et al. · archived
1937. Individual Differences in Driver Inattention: The Attention-Related Driving Errors Scale ↗ · 2010 · Ledesma, Rubén D. et al. · indexed
1938. Hybrid dimension reduction and logit models for glare-induced crash severity · 2026 · Tusti, Anannya Ghosh et al. · archived
1939. Safe System Research and Implementation: Final Report · 2025 · Banerjee, Ipsita et al. · archived
1940. Fifty Years of Motor Vehicle Crashes in Saudi Arabia: A Way Forward · 2022 · Bendak, Salaheddine et al. · archived
1941. Sleep-related crash characteristics: Implications for applying a fatigue definition to crash reports ↗ · 2017 · Filtness, A.J. et al. · indexed
1942. Highway Facilities for an Aging Arizona Population · 2003 · Baggett, Sharon A. · archived
1943. Unsafe driving behavior and safety law support: unraveling the influence of drivers’ demographics ↗ · 2026 · Mishra, Sushreeta et al. · indexed
1944. Assessing Driving Risk Level: Harnessing Deep Learning Hybrid Model With Intercity Bus Naturalistic Driving Data ↗ · 2025 · Lee, Wei-Hsun et al. · indexed
1945. Driving behaviour during flood and bushfire emergency evacuations: Insights from observational and self-reported data ↗ · 2025 · Fazeli, Sara et al. · indexed
1946. Rerun: Enabling Multi-Perspective Analysis of Driving Interaction in VR ↗ · 2022 · Goedicke, David et al. · indexed
1947. Automotive Collision Avoidance System Field Operational Test (ACAS FOT): Final Program Report · 2005 · NHTSA · archived
1948. An Open-Source Platform for Integrated Visualization, Analysis of Vehicle Dynamics and Driving Style ↗ · 2025 · Colmenares, Jon Ander Ruiz et al. · indexed
1949. Unraveling Spatial–Temporal Patterns and Heterogeneity of On-Ramp Vehicle Merging Behavior: Evidence from the exiD Dataset ↗ · 2024 · Wang, Yiqi et al. · indexed
1950. Driving pattern fusion using dempster-shafer theory for fuzzy driving risk level assessment ↗ · 2017 · Gunduz, Gultekin et al. · indexed
1951. Road Safety Annual Report · 2014 · Janstrup, Kira Hyldekær · archived
1952. Application of the IHSDM for analysis of road design consistency and assessment of the number and type of traffic accidents: a case study of the Croatian state road DC1 ↗ · 2024 · Maljković, Biljana et al. · indexed
1953. Think Aloud Protocol and Decision Tree for Driver Behavior Modeling at Roundabouts ↗ · 2023 · Monsalve, Borja et al. · indexed
1954. Toward Safer cycling: An analysis of incidents reported to the Cyclists Reporting of Incidents Tool (CRIT) ↗ · 2022 · McLean, Scott et al. · indexed
1955. Dataset of traffic accidents in motorcyclists in Bogotá, Colombia · 2022 · Ospina-Mateus, Holman et al. · archived
1956. Positive Driver Behaviours Scale: Adaptation and Validation for Brazil ↗ · 2021 · Raquel de Oliveira, Ana · indexed
1957. Auditory Alert Characteristics Impact on Crash Avoidance Warning Response · 2018 · Marshall, Dawn et al. · archived
1958. Crash Analysis, Statistics &amp; Information Notebook 1996-2003 · 2004 · NHTSA · archived
1959. Random Forest Screening and Association Rule Mining for Crash Pattern Discovery ↗ · 2025 · Abbaszadeh Lima, Mohammad Reza et al. · indexed
1960. Analysis of Factors Influencing Driver Lane-Changing Intentions Based on a Naturalistic Trajectory Data Set on Highways ↗ · 2024 · Wang, Guangchen et al. · indexed
1961. Evaluation of driver visual demand at different design speeds on complex two-dimensional rural highway alignments ↗ · 2021 · Muneeb, Ahmad · indexed
1962. Understanding the Operating Speed Profile Patterns Using Unsupervised Machine Learning Approach: Short-Term Naturalistic Driving Study ↗ · 2023 · Malaghan, Vinayak et al. · indexed
1963. Evaluating the Effectiveness of a School-Based Intervention on Driving-Related Carbon Emissions Using Real-Time Transportation Data · 2019 · Cordero, Eugene et al. · archived
1964. Cell Phone Conversation and Relative Crash Risk Update ↗ · 2018 · Young, Richard A. · indexed
1965. Comparison of Factors Associated With Run-Off-Road and Non-Run-Off-Road Crashes in Kansas · 2012 · Roy, Uttara et al. · archived
1966. Methodology for Determining Motorcycle Operator Crash Risk and Alcohol Impairment. Vol. 1, Synthesis Report on Alternative Approaches with Priorities for Research · 2007 · Voas, Robert B. et al. · archived
1967. International Guide to Highway Transportation Information: Volume 1 - Highway Transportation Libraries and Information Centers · 2000 · NHTSA · archived
1968. Electronic crash reporting: Implementation of the Model Minimum Uniform crash Criteria (MMUCC) and crash record life cycle comparison ↗ · 2021 · Nie, Qifan et al. · indexed
1969. Investigation of contributing factors regarding wrong-way driving on freeways. · 2012 · Zhou, Huaguo et al. · archived
1970. CENTRAL PUGET SOUND FREEWAY NETWORK USAGE AND PERFORMANCE, 1999 UPDATE, VOLUME 2: TRENDS ↗ · 2000 · Ishimaru, John M et al. · indexed
1971. Public Roads: A Journal of Highway Research and Development, Vol. 55 No. 1 · 1991 · Arens, John et al. · archived
1972. Differences between occupational and non-occupational-related motor vehicle collisions in West Virginia: A cross-sectional and spatial analysis. · 2019 · Rudisill, Toni Marie et al. · archived
1973. Lane change maneuver recognition via vehicle state and driver operation signals &amp;#x2014; Results from naturalistic driving data ↗ · 2015 · Li, Guofa et al. · indexed
1974. Research on Accident Scenarios of Assisted Driving Vehicles Based on Deep Subspace Clustering ↗ · 2025 · Xu, Huiying et al. · indexed
1975. Road Geometry Safety Evaluation Based on Driver Behavior Using a Driving Simulator* ↗ · 2023 · Kang, Min Ji et al. · indexed
1976. Critical power two wheeler driving patterns at the emergence of an incident ↗ · 2013 · Vlahogianni, Eleni I. et al. · indexed
1977. Collision Avoidance Testing of the Waymo Automated Driving System ↗ · 2026 · Kusano, Kristofer et al. · indexed
1978. Extending the Intelligent Driver Model in SUMO and Verifying the Drive Off Trajectories with Aerial Measurements ↗ · 2022 · Salles, Dominik et al. · indexed
1979. Applying Heuristics to Generate Test Cases for Automated Driving Safety Evaluation ↗ · 2021 · Stepien, Leonard et al. · indexed
1980. Exploratory analysis of automated vehicle crashes in California: A text analytics &amp; hierarchical Bayesian heterogeneity-based approach ↗ · 2019 · Boggs, A. et al. · indexed
1981. SafeTrip-21 : Federal ITS field tests to transform the traveler experience. · 2011 · Hector-Hsu, Jessica et al. · archived
1982. Compendium of Student Papers: 2007 Undergraduate Transportation Scholars Program · 2007 · Ciarkowski, Matthew et al. · archived
1983. Mechanisms of Driver Decision‐Making in Informal Mixed Urban Traffic: A Naturalistic Study in Kinshasa (DRC) ↗ · 2026 · Mbula, Roméo Muselefu et al. · indexed
1984. Design and Implementation of an Instrumented Motorcycle for a Naturalistic Driving Study in Indonesia ↗ · 2025 · Halim, Winda et al. · indexed
1985. Reducing Roadway Departure Crashes at Horizontal Curve Sections on Two-lane Rural Highways · 2019 · Donnell, Eric T. et al. · archived
1986. Analysis of Roadway Traffic Accidents Based on Rough Sets and Bayesian Networks ↗ · 2018 · Xiong, Xiaoxia et al. · indexed
1987. Age and Gender Differences in Time to Collision at Braking From the 100-Car Naturalistic Driving Study ↗ · 2014 · Montgomery, Jade et al. · indexed
1988. Analysis of Single-Vehicle Roadway Departure Crashes on Rural Curved Segments Accounting for Unobserved Heterogeneity ↗ · 2020 · Islam, Mouyid et al. · indexed
1989. NATURALISTIC DRIVING BEHAVIOR AS A NEUROBEHAVIORAL MARKER OF PRECLINICAL ALZHEIMER’S DISEASE ↗ · 2019 · Babulal, Ganesh · indexed
1990. Feasibility of road traffic injury surveillance integrating police and health insurance data sets in the Dominican Republic. ↗ · 2013 · Puello, Adrián et al. · indexed
1991. Comparison of identification and ranking methodologies for speed-related crash locations. · 2006 · Monsere, Christopher M. et al. · archived
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1995. RECRUITMENT OF OLDER DRIVERS INTO LONGROAD: EXPERIENCES FROM A MULTI-STATE STUDY ↗ · 2017 · Betz, Marian E. et al. · indexed
1996. 2024 Traffic Safety Culture Index · 2025 · AAA Foundation for Traffic Safety · archived
1997. NHTSA crash investigation sampling system (CISS) is unreliable, inaccurate and does not estimate serious injury in motor vehicle crashes ↗ · 2025 · Viano, David C. · indexed
1998. W011001 Simulation for the Study of Hazard Anticipation Driving Mechanism ↗ · 2012 · MICHITSUJI, Yohei · indexed
1999. The UAB University Transportation Center update : Vol. 4, No. 1. · 2010 · NHTSA · archived
2000. Changing Lanes Toward Open Science: Openness and Transparency in Automotive User Research ↗ · 2024 · Ebel, Patrick et al. · indexed
2001. Vienna road crashes: a multivariate approach to understanding driver-related risks ↗ · 2024 · Magusic, Radmila · indexed
2002. Crash severity analysis and risk factors identification based on an alternate data source: a case study of developing country ↗ · 2022 · Bhuiyan, Hanif et al. · indexed
2003. Visualizing driving video in temporal profile ↗ · 2014 · Kilicarslan, Mehmet et al. · indexed
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2005. Exploring risky events and driver responses in automated driving: Insights from real-world videos ↗ · 2025 · Xiang, Wei et al. · indexed
2006. Assessing the Performance of Highway Safety Manual (HSM) Predictive Models for Brazilian Multilane Highways · 2023 · Mendes, Olga Beatriz Barbosa et al. · archived
2007. Application of Extremely Randomised Trees for exploring influential factors on variant crash severity data · 2022 · Afshar, Farshid et al. · archived
2008. Impacts of advanced driver assistance systems on commercial truck driver behaviour performance using naturalistic data ↗ · 2022 · Wu, Chuna et al. · indexed
2009. Pocket Guide to Large Truck and Bus Statistics 2018 · 2018 · NHTSA · archived
2010. Understanding Bicycle Dynamics and Cyclist Behavior From Naturalistic Field Data (November 2012) ↗ · 2014 · Dozza, Marco et al. · indexed
2011. 2011 National Survey of Speeding Attitudes and Behaviors · 2013 · Schroeder, Paul et al. · archived
2012. Income-Based Disparities in Fatal Interstate Crashes: An Association Rule Analysis of Contributing Factors from the NHTSA FARS Dataset ↗ · 2025 · Abbaszadeh Lima, Mohammad Reza et al. · indexed
2013. Automated Vehicle Safety and Deployment: Lessons from Human Crashes ↗ · 2022 · Shetty, Akhil et al. · indexed
2014. Results of the 2007 National Roadside Survey of Alcohol and Drug Use by Drivers [Traffic Safety Facts] · 2009 · Compton, Richard et al. · archived
2015. Pilot Test of New Roadside Survey Methodology for Impaired Driving · 2007 · Lacey, John H. et al. · archived
2016. From Human Semantics to Executable Control: Driving Behavior Graph for Automated Emergency Maneuvering ↗ · 2026 · Zhu, Yixin et al. · indexed
2017. The Impact of Surrounding Road Objects and Conditions on Drivers Abrupt Heart Rate Changes · 2022 · Tavakoli, Arash et al. · archived
2018. Estimating Motor Carrier Management Information System Crash File Underreporting from Carrier Records · 2017 · Blower, Daniel · archived
2019. Cargo Tank Incident Study (CTIS): Rollover Data and Risk Framework · 2017 · Calabrese, Clark et al. · archived
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2021. Comparative safety evaluation of ADAS-Equipped electric and gasoline vehicles using real-world crash data ↗ · 2026 · Ding, Shengxuan et al. · indexed
2022. What influences crash risk and crash prevalence for e-scootering? Insights from a naturalistic riding study ↗ · 2025 · Pai, Rahul Rajendra et al. · indexed
2023. Extracting Scenarios for Automated Driving Systems: A Statistical Based Occupation-Grid Approach with Deep Semi-Supervised Learning* ↗ · 2024 · Kheriji, Walid et al. · indexed
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2026. Drivers’ Knowledge, Attitude and Practices Towards Traffic Rules and Regulations · 2024 · Abbas, Sheer et al. · archived
2027. SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets ↗ · 2024 · Li, Yunlong et al. · indexed
2028. Efficacy of roll stability control and lane departure warning systems using carrier-collected data ↗ · 2015 · Hickman, Jeffrey S. et al. · indexed
2029. Modeling Driver Compliance with Eco-Routing Recommendations Using Naturalistic Smartphone Data ↗ · 2026 · Yu, Bo et al. · indexed
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2034. Driver Behaviour Analysis for Lane Change Maneuvers via Explainable Artificial Intelligence ↗ · 2026 · Günaydın, Batuhan et al. · indexed
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2036. A Focused Approach to Safety Guidebook · 2011 · Sawyer, Michael et al. · archived
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2039. Smartphone usage behaviour amongst the “smartphone” generation: its impact on road traffic safety ↗ · 2020 · Seabi, Beverly Mosima · indexed
2040. Automated vehicle collisions in California: Applying Bayesian latent class model · 2020 · Das, Subasish et al. · archived
2041. Drivers’ Lane-Keeping Ability in Heavy Rain: Preliminary Investigation Using SHRP 2 Naturalistic Driving Study Data ↗ · 2017 · Ghasemzadeh, Ali et al. · indexed
2042. Effect of driver, roadway, collision, and vehicle characteristics on crash severity: a conditional logistic regression approach ↗ · 2014 · Kadılar, Gamze Özel · indexed
2043. Driver anger on the information superhighway: A content analysis of online complaints of offensive driver behaviour ↗ · 2013 · Wickens, Christine M. et al. · indexed
2044. The Economic Impact of Motor Vehicle Crashes, 2000 · 2002 · Blincoe, Lawrence J. et al. · archived
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2046. An analysis of driving and working hour on commercial motor vehicle driver safety using naturalistic data collection ↗ · 2012 · Soccolich, Susan et al. · indexed
2047. A Naturalistic Driving Study of Feedback Timing and Financial Incentives in Promoting Speed Limit Compliance ↗ · 2022 · Chen, Winnie et al. · indexed
2048. Statistical Analysis of Major and Extra Serious Traffic Accidents on Chinese Expressways from 2011 to 2021 ↗ · 2022 · Wei, Xiangyu et al. · indexed
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2053. Autonomous vehicles’ disengagements: Trends, triggers, and regulatory limitations ↗ · 2017 · Favarò, Francesca et al. · indexed
2054. Traffic Safety Risks Trends and Patterns Analysis on Motorways ↗ · 2014 · Hamzehei, Asso et al. · indexed
2055. Nighttime driving, passenger transport, and injury crash rates of young drivers · 2003 · Rice, Thomas et al. · archived
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2060. DEVELOPMENT OF TEST SCENARIOS FOR OFF-ROADWAY CRASH COUNTERMEASURES BASED ON CRASH STATISTICS ↗ · 2002 · Najm, Wassim G et al. · indexed
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2062. Detecting mild cognitive impairment and dementia in older adults using naturalistic driving data and interaction-based classification from influence score ↗ · 2023 · Di, Xuan et al. · indexed
2063. Cooperative Automation Research: High-Level Framework of CARMA Proof-of-Concept TSMO Use Case Testing for CARMA Streets · 2022 · Ghiasi, Amir et al. · archived
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2066. Utilizing ego-centric video to conduct naturalistic bicycling studies. · 2016 · Liu, Feng et al. · archived
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2072. Recognition of Intersection Traffic Regulations from Crowdsourced Data · 2022 · Zourlidou, Stefania et al. · archived
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2081. Aware of Scene Vehicles—Probabilistic Modeling of Car-Following Behaviors in Real-World Traffic ↗ · 2019 · Xu, Donghao et al. · indexed
2082. Investigation of Driver Lane Keeping Behavior in Normal Driving based on Naturalistic Driving Study Data ↗ · 2016 · Johnson, Taylor et al. · indexed
2083. Performance of a Rear-End Crash Avoidance System in a Field Operational Test ↗ · 2006 · Najm, Wassim G et al. · indexed
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2086. An international review of challenges and opportunities in development and use of crash prediction models · 2018 · Ambros, Jiří et al. · archived
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2092. Clustering Roadway Departures from Impaired Driving Studies using Derived Features and Shape-Based Methods ↗ · 2026 · Miller, Ryan et al. · indexed
2093. A Short-Term Naturalistic Driving Study on Predicting Comfort Thresholds for Horizontal Curves on Two-Lane Rural Highways ↗ · 2022 · Malaghan, Vinayak et al. · indexed
2094. Wyoming: Highway Safety Improvement Program 2021 Annual Report · 2021 · NHTSA · archived
2095. Age, gender, mileage and the DBQ: The validity of the Driver Behavior Questionnaire in different driver groups ↗ · 2013 · Martinussen, Laila Marianne et al. · indexed
2096. 2012 Traffic Safety Culture Index: Motorists Admit to Driving Drowsy · 2012 · AAA Foundation for Traffic Safety · archived
2097. Modeling of Driving Behavior When Approaching an Intersection Based on Measured Behavioral Data on An Actual Road ↗ · 2003 · Akamatsu, Motoyuki et al. · indexed
2098. Collective Driver Attention: Towards a Comprehensive Visual Understanding of Traffic Scenes ↗ · 2023 · Moradi, Morteza et al. · indexed
2099. Influence of Level 1 and Level 2 Automated Vehicles on Fatal Crashes and Fatal Crash Occurrence [Summary] · 2022 · Gajera, Hardik et al. · archived
2100. Impacts of Driver Characteristics on Fuel Consumption Based on Naturalistic Driving Experiment ↗ · 2022 · Zhang, Duo et al. · indexed
2101. A scenario-based assessment approach for automated driving by using time series classification of human-driving behaviour ↗ · 2016 · Roesener, Christian et al. · indexed
2102. Using the U.S. National Household Travel Survey to estimate the impact of passenger characteristics on young drivers’ relative risk of fatal crash involvement ↗ · 2009 · Ouimet, Marie Claude et al. · indexed
2103. Long-term effect of eco-driving education on fuel consumption using an on-board logging device · 2008 · Beusen, B. et al. · archived
2104. Incentive-Based Telematics and Driver Safety: Insights from a Naturalistic Study of Behavioral Change ↗ · 2025 · Kontaxi, Armira et al. · indexed
2105. Chronic medical conditions and their association with crash risk and changes in driving habits: a prospective study of the GAZEL cohort · 2021 · Turrado, Juan Naredo et al. · archived
2106. Factors modifying the likelihood of speeding behaviors based on naturalistic driving data ↗ · 2021 · Perez, Miguel A. et al. · indexed
2107. Incorporating safety relevance and realistic parameter combinations in test-case generation for automated driving safety assessment ↗ · 2020 · Thal, Silvia et al. · indexed
2108. The experimental setup of a large field operational test for cooperative driving vehicles at the A270 ↗ · 2010 · van den Broek, Thijs H.A. et al. · indexed
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2110. Advanced Vehicle Collision Safety Systems · 1997 · NHTSA · archived
2111. Reliability-based assessment of road design features and crash risk using a socio-economic index for safety prioritization · 2026 · Saedi, Hossein et al. · archived
2112. When Autonomous Vehicles Are Introduced on a Larger Scale in the Road Transport System: The Drive Me Project ↗ · 2016 · Victor, Trent et al. · indexed
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2117. Driving Sustainability: Analyzing Eco-Driving Efficiency Across Urban and Interurban Roads with Electric and Combustion Vehicles · 2025 · Miqdady, Tasneem et al. · archived
2118. 2023 Traffic Safety Culture Index · 2024 · AAA Foundation for Traffic Safety · archived
2119. Evaluation of the Victorian Safe Driving Program (SDP) for Hoon Drivers · 2024 · Meyer, Denny et al. · archived
2120. How Do Human-Driven Vehicles Avoid Pedestrians in Interactive Environments? A Naturalistic Driving Study ↗ · 2022 · Sun, Shulei et al. · indexed
2121. Naturalistic Driver Intention and Path Prediction Using Recurrent Neural Networks ↗ · 2020 · Zyner, Alex et al. · indexed
2122. Study on Driver Agent Based on Analysis of Driving Instruction Data — Driver Agent for Encouraging Safe Driving Behavior (1) — ↗ · 2018 · TANAKA, Takahiro et al. · indexed
2123. Results of the 2013–2014 National Roadside Study of Alcohol and Drug Use by Drivers [Traffic Safety Facts] · 2017 · Berning, Amy et al. · archived
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2127. Video-Capture-Based Approach to Extract Multiple Vehicular Trajectory Data for Traffic Modeling ↗ · 2005 · Wei, Heng et al. · indexed
2128. OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication · 2022 · Xu, Runsheng et al. · archived
2129. Identification of Hazardous Driving Scenarios Using Cross-Channel Safety Performance Indicators ↗ · 2025 · Hanselaar, C.A.J. et al. · indexed
2130. A Deep Auto-Encoder Approach for Clustering Cut-in Driving Styles from Naturalistic Data ↗ · 2025 · Hou, Qingqing et al. · indexed
2131. Location and Driver-Specific Vehicle Adaptation Using Crowdsourced Data ↗ · 2022 · Menner, Marcel et al. · indexed
2132. Driving Information in a Transition to a Connected and Autonomous Vehicle Environment: Impacts on Pollutants, Noise and Safety ↗ · 2020 · Coelho, Margarida C. et al. · indexed
2133. Factors Contributing to the Relationship between Driving Mileage and Crash Frequency of Older Drivers ↗ · 2019 · Lee, Dongkwan et al. · indexed
2134. Sleep deficiency and motor vehicle crash risk in the general population: a prospective cohort study · 2018 · Gottlieb, Daniel J. et al. · archived
2135. Construction and Analysis of the Dalian Driving Cycle ↗ · 2015 · Gao, Xia et al. · indexed
2136. Model Validation of Adaptive Cruise Control in Vehicles Utilizing Real-World Driving Data ↗ · 2023 · Zhang, Yaozhong et al. · indexed
2137. Driving assessment in preclinical Alzheimer’s disease: progress to date and the path forward · 2022 · Bayat, Sayeh et al. · archived
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2139. Washington: Highway Safety Improvement Program 2021 Annual Report · 2021 · NHTSA · archived
2140. Empirical Studies on Traffic Flow in Inclement Weather · 2006 · Hranac, Rob et al. · archived
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2144. A data-driven approach to characterize the impact of connected and autonomous vehicles on traffic flow · 2021 · Parsa, Amir Bahador et al. · archived
2145. Connected and Autonomous Vehicles 2040 Vision · 2014 · Mashayekh, Yeganeh et al. · archived
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2148. Road Type Classification of Driving Data Using Neural Networks ↗ · 2025 · Tollner, Dávid et al. · indexed
2149. A Multi-Site Examination for the Impact of Changes in Posted Speed Limit on Traffic Safety · 2023 · AAA Foundation for Traffic Safety · archived
2150. Developing Robot Driver Etiquette Based on Naturalistic Human Driving Behavior ↗ · 2020 · Huang, Xianan et al. · indexed
2151. Crash prediction based on traffic platoon characteristics using floating car trajectory data and the machine learning approach ↗ · 2019 · Wang, Junhua et al. · indexed
2152. Knowledge, Attitudes, and Practice of Drivers Towards Traffic Rules and Regulations in Multan, Pakistan · 2018 · Riaz, İshrat et al. · archived
2153. Privacy and initial information in automated driving — Evaluation of information demands and data sharing concerns ↗ · 2017 · Josten, J. et al. · indexed
2154. Bayesian nonparametric modeling of driver behavior ↗ · 2014 · Straub, Julian et al. · indexed
2155. P2‐408: Critical analysis of road test designs for older drivers with cognitive impairment ↗ · 2011 · Ott, Brian et al. · indexed
2156. An investigation of older driver freeway needs and capabilities : summary report · 1998 · NHTSA · archived
2157. A Vehicle Cornering Risk Assessment Model Based on Driving Simulation Experiment ↗ · 2025 · Li, Xinghua et al. · indexed
2158. ARTS: Automotive Repository of Traffic Signs for the United States ↗ · 2021 · Almutairy, Fayha et al. · indexed
2159. Vehicle ownership and other predictors of teenagers risky driving behavior: Evidence from a naturalistic driving study ↗ · 2018 · Gershon, Pnina et al. · indexed
2160. Fractal characteristics analysis on driving behavior time series: Example with speed data as vehicle driving towards an intersection ↗ · 2015 · Liangli, Zhang et al. · indexed
2161. Wrong-Way Driving Incidents on Central Florida Toll Road Network, Phase-1 Study: An Investigation into the Extent of this Problem? ↗ · 2014 · Rogers, John H. et al. · indexed
2162. Foot placement during error and pedal applications in naturalistic driving ↗ · 2017 · Wu, Yuqing et al. · indexed
2163. Driver Behavior Characteristics of Teenage Drivers and Older Drivers · 1999 · Parham, Angelia H. et al. · archived
2164. Adjustment of key lane change parameters to develop microsimulation models for representative assessment of safety and operational impacts of adverse weather using SHRP2 naturalistic driving data ↗ · 2022 · Das, Anik et al. · indexed
2165. Safe Imitation Learning on Real-Life Highway Data for Human-like Autonomous Driving · 2021 · Acerbo, Flavia Sofia et al. · archived
2166. Missouri: Highway Safety Improvement Program 2021 Annual Report · 2021 · NHTSA · archived
2167. The Pattern of Road Traffic Crashes in South East Iran · 2016 · Rad, Mahdieh et al. · archived
2168. Driver behavior monitoring system based on traffic violation ↗ · 2012 · Aliane, Nourdine et al. · indexed
2169. Florida wave loading study : improving driver and pedestrian safety, Traffic Engineering Research Lab. · 2010 · Morrison, Vicki · archived
2170. Exploring the effect of COVID-19 on driver injury severities in freeway single-vehicle crashes accounting for unobserved heterogeneity ↗ · 2023 · Islam, Mouyid et al. · indexed
2171. Validation of the Behaviour of Young Novice Drivers Scale (BYNDS) in a New Zealand young driver population ↗ · 2015 · Scott‐Parker, Bridie et al. · indexed
2172. Improving our understanding of contributing factors in California level 4 autonomous vehicle crashes through latent class analysis and machine learning-SHAP interpretations ↗ · 2026 · Wang, Jiacheng et al. · indexed
2173. Contribution of traffic behavior surveys for monitoring safety performance indicators in Germany: Case of mobile phone use while driving ↗ · 2022 · Kröling, Sophie et al. · indexed
2174. Drivers overtaking bicyclists—An examination using naturalistic driving data ↗ · 2018 · Feng, Fred et al. · indexed
2175. Initial Framework for Improving the Traffic Safety Culture in Kansas ↗ · 2015 · Bruner, Allison · indexed
2176. Development and evaluation of a scale to measure nurses’ unsafe driving behaviour while commuting ↗ · 2024 · Mohd Yusoff, Hanizah et al. · indexed
2177. Understanding the drowsy driving crash patterns from correspondence regression analysis ↗ · 2022 · Das, Subasish · indexed
2178. Influence of built environment and roadway characteristics on the frequency of vehicle crashes caused by driver inattention: A comparison between rural roads and urban roads ↗ · 2021 · Wu, Peijie et al. · indexed
2179. Driving performance grading and analytics: learning internal indicators and external factors from multi-source data ↗ · 2021 · Zhou, Jiandong et al. · indexed
2180. On the new era of urban traffic monitoring with massive drone data: The pNEUMA large-scale field experiment ↗ · 2020 · Barmpounakis, Emmanouil et al. · indexed
2181. Pedal Application Errors · 2012 · Lococo, Kathy H. et al. · archived
2182. Prediction of driving stress on high-altitude expressway using driving environment features: A naturalistic driving study in Tibet ↗ · 2024 · Qin, Pengcheng et al. · indexed
2183. A combined framework of Biplots and Machine Learning for real-world driving volatility and emissions data interpretation ↗ · 2023 · Ferreira, Elisabete et al. · indexed
2184. Motor vehicle driver injury severity analysis utilizing a random parameter binary probit model considering different types of driving licenses in 4-legs roundabouts in South Australia ↗ · 2020 · Das, Subasish · indexed
2185. An Impact of Traffic Characteristics on Crash Frequency · 2023 · Al-Nuaimi, Atheer et al. · archived
2186. Bicycle and Pedestrian Safety Research Project · 2023 · Jackson, Steve et al. · archived
2187. A Rhode Trip: Lessons for the Future of Mobility From the Little Roady Autonomous Microtransit Pilot · 2022 · Marini, Megan et al. · archived
2188. Identification of factors associated with road crashes among functionally classified transport modes in Namibia ↗ · 2020 · Adanu, Emmanuel Kofi et al. · indexed
2189. Cell Phone Use and Crash Risk ↗ · 2012 · Young, Richard A. · indexed
2190. Remedial Driver Education in Texas: Does it Do Any Good? · 2006 · Willis, David K. · archived
2191. Safe Streets, Livable Streets · 2005 · Dumbaugh, Eric et al. · archived
2192. How would autonomous vehicles behave in real-world crash scenarios? ↗ · 2024 · Zhou, Rui et al. · indexed
2193. A verification framework for behavioral safety of self‐driving cars ↗ · 2022 · Wu, Huihui et al. · indexed
2194. Time headway distribution analysis of naturalistic road users based on aerial datasets ↗ · 2022 · Yu, Ruilin et al. · indexed
2195. How Data Imputation Affects Crash Modeling Results · 2020 · Adediji, Yemi et al. · archived
2196. Share the Road Campaign Research Study [Tech Brief] · 1999 · NHTSA · archived
2197. Peer-to-Peer Federated Continual Learning for Naturalistic Driving Action Recognition ↗ · 2023 · Yuan, Liangqi et al. · indexed
2198. A Proactive Approach to Evaluating Intersection Safety Using Hard-Braking Data · 2021 · Hunter, Margaret et al. · archived
2199. Reality of Road Safety Conditions at Critical Locations in Nablus City, Palestine with a Road Map for Future Interventions · 2016 · Al-Sahili, Khaled et al. · archived
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2202. An Econometric Analysis to Explore the Temporal Variability of the Factors Affecting Crash Severity Due to COVID-19 · 2024 · Alrumaidhi, Mubarak et al. · archived
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2204. M-CASTL 2009 synthesis report : older adult safety and mobility. · 2009 · Eby, David W. et al. · archived
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2207. Method for recovering data on unreported low-severity crashes ↗ · 2025 · Morando, Alberto · indexed
2208. Modeling Lead-Vehicle Kinematics for Rear-End Crash Scenario Generation ↗ · 2024 · Wu, Jian et al. · indexed
2209. Evaluating a Signalized Intersection Performance Using Unmanned Aerial Data · 2022 · Ashqer, Mujahid I. et al. · archived
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2211. Naturalistic measurement of driver eye height and object height using photogrammetry ↗ · 2021 · Llewellyn, Richard et al. · indexed
2212. Reassessing desired time headway as a measure of car-following capability: Definition, quantification, and associated factors ↗ · 2025 · Parashar, Shubham et al. · indexed
2213. Developing Crash Modification Factors Using Multiuser Driving Simulator ↗ · 2018 · Ali, Abdulla et al. · indexed
2214. Effects of Distraction Type, Driver Age, and Roadway Environment on Reaction Times – An Analysis Using SHRP-2 NDS Data ↗ · 2017 · Higgins, Laura et al. · indexed
2215. Investigation of horizontal alignment data extraction methodologies in terms of cost and time ↗ · 2023 · Atif, Mohd et al. · indexed
2216. Transportation Statistics Annual Report 2022 · 2022 · NHTSA · archived
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2218. Determinants of fatal car accident risk in Finote Selam town, Northwest Ethiopia · 2020 · Tadege, Melaku · archived
2219. Hands Off the Wheel in Autonomous Vehicles?: A Systems Perspective on over a Million Miles of Field Data ↗ · 2018 · Banerjee, Subho S. et al. · indexed
2220. Association rule analysis of factors contributing to extraordinarily severe traffic crashes in China ↗ · 2018 · Xu, Chengcheng et al. · indexed
2221. Calibration of MITSIM and IDM car-following model based on NGSIM trajectory datasets ↗ · 2010 · Chen, Chenyi et al. · indexed
2222. A Human Error Analysis of U.S. Fatal Highway Crashes 1990–2004 ↗ · 2006 · Iden, Rebecca et al. · indexed
2223. Computer-aided design for safe autonomous vehicles ↗ · 2017 · O'Kelly, Matthew et al. · indexed
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2226. Older drivers' road traffic crashes and driver-impairing health conditions : Swedish national register-based epidemiological studies ↗ · 2026 · Skyving, Marie · indexed
2227. Mississippi: Highway Safety Improvement Program 2021 Annual Report · 2021 · NHTSA · archived
2228. Determining Older Adults' Fitness-to-Drive: Comparing the Standard On-road Driving Evaluation and the Naturalistic Driving Observation ↗ · 2018 · Chen, Yu-Ting et al. · indexed
2229. The Driving Behavior Data Acquisition and Identification Based on Vehicle Bus ↗ · 2016 · Hu, Jie et al. · indexed
2230. Using Lighting And Visual Information To Alter Driver Behavior · 2012 · Bullough, John D. et al. · archived
2231. Evaluation of Errors in Road Signs in a Long Roadwork Zone Using a Naturalistic Driving Study ↗ · 2025 · Pashkevich, Anton et al. · indexed
2232. Spatial Deep Learning Approach to Older Driver Classification ↗ · 2024 · Boateng, Charles et al. · indexed
2233. Impact of vision disorders and vision impairment on motor vehicle crash risk and on-road driving performance: A systematic review ↗ · 2022 · Wood, Joanne M. et al. · indexed
2234. Connected vehicle real-time traveler information messages for freeway speed harmonization under adverse weather conditions: Trajectory level analysis using driving simulator ↗ · 2020 · Yang, Guangchuan et al. · indexed
2235. Distracted and Risk-Prone Drivers · 2013 · AAA Foundation for Traffic Safety · archived
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2237. The Driver Time Memory Car-Following Model Simulating in Apollo Platform with GRU and Real Road Traffic Data ↗ · 2020 · Fei, Rong et al. · indexed
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2239. Connecting Transportation Operations and Safety in Arizona · 2023 · NHTSA · archived
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2241. Network: October 1978 · 1978 · NHTSA · archived
2242. ARE MEN OR WOMEN BETTER DRIVERS ↗ · 1975 · Weber, Matthias · indexed
2243. Driving risk emerges from the required two-dimensional joint evasive acceleration · 2026 · Cheng, Hao et al. · archived
2244. Mitigation of Lane Departure Crashes in the Pacific Northwest through Coordinated Outreach Phase II · 2018 · Hurwitz, David et al. · archived
2245. Driver Injury Severity Resulting from Single-Vehicle Crashes along Horizontal Curves on Rural Two-Lane Highways ↗ · 2009 · Schneider, William H. et al. · indexed
2246. A virtual-reality based integrated driving-traffic simulation system to study the impacts of intelligent transportation system (ITS) ↗ · 2004 · Jin, Ming et al. · indexed
2247. Modeling Lane-Change Risk in Urban Expressway Off-Ramp Area Based on Naturalistic Driving Data ↗ · 2019 · Zhang, Lanfang et al. · indexed
2248. Analyzing the transition from two-vehicle collisions to chain reaction crashes: A hybrid approach using random parameters logit model, interpretable machine learning, and clustering ↗ · 2024 · Samerei, Seyed Alireza et al. · indexed
2249. Dataset on powered two wheelers fall and critical events detection ↗ · 2019 · Boubezoul, Abderrahmane et al. · indexed
2250. Pilot Testing a Naturalistic Driving Study to Investigate Winter Maintenance Operator Fatigue during Winter Emergencies ↗ · 2017 · Camden, Matthew et al. · indexed
2251. 2009 Traffic Safety Culture Index · 2009 · AAA Foundation for Traffic Safety · archived
2252. 2009 Traffic Safety Culture Index · 2009 · NHTSA · archived
2253. Idaho Traffic Crashes, 2008 · 2008 · NHTSA · archived
2254. Observation of Gap Acceptance During Intersection Approach ↗ · 2007 · Cody, Delphine et al. · indexed
2255. Traffic Crash Statistics Report, 2002 · 2003 · NHTSA · archived
2256. Alternative approaches to network-wide road safety assessment · 2026 · Andrášik, Richard et al. · archived
2257. Impact analysis of Advanced Driver Assistance Systems (ADAS) regarding road safety – computing reduction potentials · 2024 · Aleksa, Michael et al. · archived
2258. Anomalous Behavior Detection in Trajectory Data of Older Drivers · 2023 · Ghoreishi, Seyedeh Gol Ara et al. · archived
2259. Identification and Difference Analysis of Motorcycle Drivers' Driving Style Based on Natural Driving Data ↗ · 2022 · Zong, Shengqian et al. · indexed
2260. Investigating “Texting while Driving” Behavior at Different Roadway Configurations Using a Driving Simulator Setting ↗ · 2021 · Al Aufi, Ayuob et al. · indexed
2261. Exploratory Advanced Research Program [Brochure 2013] · 2013 · NHTSA · archived
2262. Validation of the Dula Dangerous Driving Index: Insights into Risky Driving Behaviors ↗ · 2025 · Yousaf, Adnan et al. · indexed
2263. Association of Michigan’s older adult crashes with roadway features : final report. · 2017 · Kwigizile, Valerian et al. · archived
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2265. Writing Accessible and Correct Test Scenarios for Automated Driving Systems ↗ · 2022 · Bruto Da Costa, Antonio Anastasio et al. · indexed
2266. Self-Reported Opioid Use and Driving Outcomes among Older Adults: The AAA LongROAD Study · 2020 · Betz, Marian E. et al. · archived
2267. SHORTCOMINGS IN ROAD ACCIDENT DATA IN DEVELOPING COUNTRIES, IDENTIFICATION AND CORRECTION: A CASE STUDY ↗ · 2000 · NAJI, Jamil A. et al. · indexed
2268. Efficient Smartphone Sensor Analysis for Behavioral Profiling in Transportation Research: A Case Study of Driver and Passenger Classification · 2024 · Lozano, Wilson et al. · archived
2269. Using bus critical driving events as surrogate safety measures for pedestrian and bicycle crashes based on GPS trajectory data ↗ · 2021 · Li, Pei et al. · indexed
2270. The German Traffic Sign Recognition Benchmark: A multi-class classification competition ↗ · 2011 · Stallkamp, Johannes et al. · indexed
2271. Demographic factors and traffic crashes. Part 1, descriptive statistics and models · 1998 · Aty, M. A. et al. · archived
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2273. Impact of Wind Turbine Distraction on Crash Severity: Assessment and Prediction Study · 2025 · Alhomaidat, Fadi et al. · archived
2274. Factors Influencing Multi-vehicle Collisions Following Sudden Fatal Health Problems in Drivers · 2025 · Kataoka, Hitomi et al. · archived
2275. Evaluation of a semi-autonomous lane departure correction system using naturalistic driving data ↗ · 2017 · Zhao, Ding et al. · indexed
2276. Idaho traffic crashes, 2009 · 2009 · NHTSA · archived
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2278. Driving behavior and safety performance in spiral tunnel groups: A naturalistic data analysis ↗ · 2026 · He, Shiming et al. · indexed
2279. Probabilistic Uncertainty-Aware Risk Spot Detector for Naturalistic Driving ↗ · 2019 · Puphal, Tim et al. · indexed
2280. Bringing Smart Transport to Texans : Ensuring the Benefits of a Connected and Autonomous Transport System in Texas (Phase 2) · 2018 · Kockelman, Kara M. et al. · archived
2281. A Cloud-based Driver Monitoring for Inefficient Driving Behavior using OBD2 Telematics ↗ · 2016 · Dixit, Swati et al. · indexed
2282. Factors Influencing Operating Speeds and Safety on Rural and Suburban Roads · 2015 · Boodlal, Leverson et al. · archived
2283. Update to Special Reports on Traffic Safety during the COVID-19 Public Health Emergency: Third Quarter Data: Third Quarter Data [Traffic Safety Facts] · 2021 · NHTSA · archived
2284. Exploring interacting effects of risk factors on run-off-road crash severity: An interpretable machine learning model joint with latent class clustering ↗ · 2024 · Samerei, Seyed Alireza et al. · indexed
2285. Using Cluster Correspondence Analysis to Explore Rainy Weather Crashes in Louisiana ↗ · 2022 · Rahman, M. Ashifur et al. · indexed
2286. What factors influence drivers’ response time for evasive maneuvers in real traffic? ↗ · 2012 · Dozza, Marco · indexed
2287. Compendium: Papers on Advanced Surface Transportation Systems, August 2002 · 2002 · Dudek, Conrad L. et al. · archived
2288. Cooperative Driving Automation Alerts During Rainy Weather Conditions · 2024 · Sanchez, Robert et al. · archived
2289. Assessment of Crash Location Accuracy in Electronic Crash Reporting Systems ↗ · 2020 · Iqbal, Adika M. et al. · indexed
2290. Investigating Key Automated Vehicle Human Factors Safety Issues Related to Infrastructure: Summary of Stakeholder Workshop · 2020 · Roldan, Stephanie M. et al. · archived
2291. A Survey Based Study of Factors Related to Older driver Highway Safety ↗ · 2011 · Dissanayake, Sunanda et al. · indexed
2292. Exploring Driver Diversity in Post-Takeover Stabilization Based on Demographic Data ↗ · 2024 · Gruden, Timotej et al. · indexed
2293. Driving exposure by driver age in Michigan ↗ · 2011 · Ehsani, J.P. et al. · indexed
2294. Learning salient representation of crashes and near-crashes using supervised contrastive variational autoencoder ↗ · 2025 · Jiang, Boyu et al. · indexed
2295. Drive GPT – An AI Based Generative Driver Model ↗ · 2024 · Kumar, Vedant et al. · indexed
2296. Epidemiological characteristics of deaths from road traffic accidents in Addis Ababa, Ethiopia: a study based on traffic police records (2018–2020) · 2023 · Alemayehu, Micheal et al. · archived
2297. Research on Factors Affecting Driving Safety of Elderly Drivers and Crash Prevention Countermeasures ↗ · 2023 · Gong, Jianguo et al. · indexed
2298. DriftNet: Aggressive Driving Behaviour Detection using 3D Convolutional Neural Networks ↗ · 2020 · Noor, Alam et al. · indexed
2299. Modeling the Driving Behavior of Electric Vehicles Using Smartphones and Neural Networks · 2014 · Díaz-Álvarez, Alberto et al. · archived
2300. Impact of energy sector growth on perceived transportation safety in the seventeen-county oil region of western North Dakota : a follow-up study. · 2014 · Kubas, Andrew et al. · archived
2301. Risk Factors Associated With Crash Injury Severity Involving Trucks · 2022 · Pulugurtha, Srinivas S. et al. · archived
2302. Dynamic Traffic Scene Classification with Space-Time Coherence · 2019 · Narayanan, Athma et al. · archived
2303. AutonoVi-Sim: Autonomous Vehicle Simulation Platform with Weather, Sensing, and Traffic Control ↗ · 2018 · Best, Andrew et al. · indexed
2304. 2001 Michigan Traffic Crash Facts · 2002 · NHTSA · archived
2305. Two-dimensional ETTC-labeled longitudinal and lateral conflicts for interpretable real-time crash risk prediction in freeway interchange diverging areas. · 2026 · Tang, F et al. · archived
2306. Measuring Young Drivers’ Behaviors during Complex Driving Situations ↗ · 2013 · Pradhan, Anuj K. et al. · indexed
2307. Barrier Striping for the Reduction of Accidents · 2026 · Kutela, Boniphace et al. · archived
2308. Design Consistency on Corridors · 2022 · Cunningham, Christopher M. et al. · archived
2309. Interpretable Dynamic Ensemble Selection Approach for the Prediction of Road Traffic Injury Severity: A Case Study of Pakistan’s National Highway N-5 ↗ · 2022 · Khattak, Afaq et al. · indexed
2310. Roadway Safety Information Analysis: A Manual for Local Rural Road Owners ↗ · 2011 · Golembiewski, Gary et al. · indexed
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2314. Bioinjury Implications of Pre-crash Safety Modeling and Intervention Investigators · 2018 · Bolte, John et al. · archived
2315. GPS Data Analysis for Understanding Urban Goods Movement ↗ · 2012 · Pluvinet, Pascal et al. · indexed
2316. STUDY ON HETEROGENEOUS TRAFFIC FLOW CHARACTERISTICS OF A TWO-LANE ROAD / HETEROGENINIO TRANSPORTO EISMO SRAUTO CHARAKTERISTIKOS DVIEJŲ JUOSTŲ KELYJE / ХАРАКТЕРИСТИКИ ГЕТЕРОГЕННОГО ПОТОКА ДВИЖЕНИЯ НА ДВУХПОЛОСНОЙ ДОРОГЕ · 2011 · Sharma, Nitish et al. · archived
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2320. Novice Drivers' Risky Driving Behavior, Risk Perception, and Crash Risk: Findings From the DRIVE Study ↗ · 2009 · Ivers, Rebecca et al. · indexed
2321. Increasing Accessibility of Driver Training Through Scholarships and Technological Intervention · 2025 · Ryerson, Megan S et al. · archived
2322. A longitudinal car-following risk assessment model based on risk field theory for autonomous vehicles ↗ · 2020 · Wu, Bing et al. · indexed
2323. Evaluation of Geometric Design Needs of Freeway Systems Based on Traffic and Geometric Data · 2013 · Teng, Hualiang (Harry) · archived
2324. Surrogate Safety Assessment Model and Validation: Final Report · 2008 · Gettman, Douglas{31309} et al. · archived