DrivingResearch.

nds other named

Other named naturalistic dataset (specify in note).

313 papers carry this dataset tag, of 5322 that declare a dataset at all (62594 papers carry any topic). Absence here means undeclared, not absent.

Where this appears in the corpus

Most common topics

Papers

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

  1. Applications of Driving Simulators in Intelligent Transportation Systems: Investigating Driver Behaviour under Variable Speed Limits · 2026 · Baiky, Behnood et al.
  2. Tracking risk-taking behind the wheel: Which indicator of risky driving is the most useful in driving simulator studies? A pilot study. · 2026 · Baran P et al.
  3. An EEG dataset for understanding driving expertise from naturalistic urban road experiments. · 2026 · Gong J et al.
  4. A Framework for Naturalistic Driving Assessment in People Living with Dementia ↗ · 2026 · Hettiarachchige, Ranuki Onara et al.
  5. How Do Drivers Interact with In-Vehicle Information Systems in Everyday Driving? Evidence from Large-Scale Naturalistic Data ↗ · 2026 · Hilbert, Jan et al.
  6. Comprehensive Review of Driver Behaviour Studies in Traffic Safety Research · 2026 · rapri, Priyanka
  7. Interactive Driving Turing Test with Think-Aloud Protocol: How Realistic Are Behavioural Driver Models? ↗ · 2026 · Tang, Tianyu et al.
  8. 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.
  9. Summary of LongROAD Research on Older Drivers from the AAA Foundation for Traffic Safety: 2017–2025 · 2025 · AAA Foundation for Traffic Safety
  10. Findings of a large-scale European naturalistic driving study: the i-DREAMS project. ↗ · 2025 · Al Haddad, Christelle et al.
  11. Monitoring Technologies for Truck Drivers: A Systematic Review of Safety and Driving Behavior · 2025 · Fonseca, Tiago et al.
  12. A Simulator Dataset to Support the Study of Impaired Driving · 2025 · Gideon, John et al.
  13. Behavioural Response to Advanced Driver Assistance System (ADAS): A Naturalistic Data Comparison Between Vietnam and Belgium ↗ · 2025 · Khattak, Muhammad Wisal et al.
  14. Fast Lane - Exploring Human Behavior - Volume 21 · 2025 · NHTSA
  15. AAA Longitudinal Research on Aging Drivers (LongROAD) Data User Guide · 2024 · AAA Foundation for Traffic Safety
  16. 2022 CDA Annual Report · 2024 · Balse, Animesh et al.
  17. Impact of cognitive impairment on driving behaviour and route choices of older drivers: a real-world driving study · 2024 · Derafshi, Reihaneh et al.
  18. Characterizing Cultural Differences in Naturalistic Driving Interactions ↗ · 2024 · DiPirro, Rachel et al.
  19. Sensor-enabled Calibration of VR-Integrated Co-Simulation Platforms for Enhanced Accuracy in Multi-modal Mobility Models · 2024 · Ergan, Semiha et al.
  20. Data Handling: Good Practices in the Context of Naturalistic Driving Studies ↗ · 2024 · Haddad, Christelle Al et al.
  21. Descriptive and conceptual structure of naturalistic driving study research: A computational literature review ↗ · 2024 · Howell, Fletcher J. et al.
  22. Visualization Analysis of Automated Motorway Driving Studies Based on Mapping Knowledge Domain ↗ · 2024 · Hu, Shixinyue et al.
  23. New Brunswick Innovation Hub Smart Mobility Testing Ground · 2024 · Jin, Peter J. et al.
  24. Investigation of Driver Adaptations in a Mixed Traffic Environment · 2024 · Kondyli, Alexandra et al.
  25. Fast Lane - Exploring Human Behavior - Volume 19 · 2024 · NHTSA
  26. Public Roads Vol. 88 No. 2 · 2024 · NHTSA
  27. 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.
  28. Automated Vehicle Driver Monitoring Dataset from Real-World Scenarios · 2024 · Sabry, Mohamed et al.
  29. Deep InSight: A Driver-State Estimation Platform for Processing Naturalistic Driving Data · 2024 · Sharma, Anuj et al.
  30. Driving simulator validation studies: A systematic review ↗ · 2024 · Zhang, Siyang et al.
  31. Third Generation Simulation Data (TGSIM): A Closer Look at The Impacts of Automated Driving Systems on Human Behavior · 2024 · Talebpour, Alireza et al.
  32. Rural Older Adult Driver Tailored Research-Integrated Plan (ROAD TRIP) · 2024 · Wotring, Brian M et al.
  33. Uncovering Variability in Human Driving Behavior Through Automatic Extraction of Similar Traffic Scenes from Large Naturalistic Datasets · 2023 · Abbink, David A.
  34. Integrating Human Behavior Toward the Development of Safer Cooperative Automated Transportation: Implementation of SHRP2 Naturalistic Driving Study · 2023 · Ahmed, Mohamed et al.
  35. Validation of a Driving Simulator for Road Tunnel Behavioural Studies ↗ · 2023 · Lioi, Alessandra et al.
  36. A Systematic Review of Profiles of Speed and Lane Keeping for Driving Simulator Data · 2023 · Brown, Timothy et al.
  37. Impact of Access Management on Driver Behaviors · 2023 · Cuddy, Matthew et al.
  38. 87 Virtual Driving Relates to Real-World Risky Driving ↗ · 2023 · Devlin, Kathryn N et al.
  39. Modeling Naturalistic Driving Environment with High-Resolution Trajectory Data · 2023 · Feng, Shuo et al.
  40. DeepScenario: City Scale Scenario Generation for Automated Driving System Testing & Evaluation · 2023 · Liu, Henry et al.
  41. Development of an Integrated Augmented Reality Testing Environment and Implementation at the American Center for Mobility · 2023 · Liu, Henry
  42. Drivers’ engagement in NDRTs during automated driving linked to travelling speed and surrounding traffic · 2023 · Liu, Xian et al.
  43. Exploratory Advanced Research (EAR) Program: Compendium of Papers from Funded Research Projects · 2023 · NHTSA
  44. Fast Lane - Exploring Human Behavior - Volume 18 · 2023 · NHTSA
  45. Turner-Fairbank Highway Research Center - Office of Safety and Operations Research and Development (R&D) · 2023 · NHTSA
  46. An Approach for the Selection and Description of Elements Used to Define Driving Scenarios – Part II · 2023 · Rao, Sughosh J. et al.
  47. The Long and Winding Road: 25 Years of the National Advanced Driving Simulator ↗ · 2023 · Schwarz, Chris et al.
  48. Deep Insight: A Cloud Based Big Data Analytics Platform For Naturalistic Driving Studies ↗ · 2023 · Venkatachalapathy, Archana et al.
  49. Designing a Study to Investigate Older Novice Drivers · 2023 · Wright, Tim et al.
  50. Uncovering variability in human driving behavior through automatic extraction of similar traffic scenes from large naturalistic datasets · 2022 · Abbink, David A.
  51. Strangers in a Strange Land: New Experimental System for Understanding Driving Culture Using VR ↗ · 2022 · Goedicke, David et al.
  52. Drivers’ Response to Scenarios when Driving Connected and Automated Vehicles Compared to Vehicles with and without Driver Assist Technology · 2022 · Gouribhatla, Raghuveer et al.
  53. Simulating Life with Personally-Owned Autonomous Vehicles through a Naturalistic Experiment with Personal Drivers · 2022 · Harb, Mustapha et al.
  54. Methods and Tools for Monitoring Driver's Behavior · 2022 · Jan, Muhammad Tanveer et al.
  55. Modeling Driver Behavior and Aggressiveness Using Biobehavioral Methods –Phase III · 2022 · Kondyli, Alexandra et al.
  56. Exploratory Advanced Research Program Research Associates Program 2021 [brochure] · 2022 · NHTSA
  57. Fast Lane - Exploring Human Behavior - Volume 16 · 2022 · NHTSA
  58. 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.
  59. Assessment of Driving Simulators for Use in Longitudinal Vehicle Dynamics Evaluation ↗ · 2022 · Sekar, Rubanraj et al.
  60. DReyeVR: Democratizing Virtual Reality Driving Simulation for Behavioural & Interaction Research · 2022 · Silvera, Gustavo et al.
  61. Visual Scanning Training for Older Drivers [Traffic Tech] · 2022 · Staplin, L. et al.
  62. Investigating the Effects of Cooperative Driving for CAVs in Different Driving Scenarios Using Multi-Driver Simulator Experiments · 2022 · Yue, Lishengsa et al.
  63. Evaluation of Work Zone Mobility by Utilizing Naturalistic Driving Study Data, Phase II · 2022 · Zhou, Huaguo Hugo et al.
  64. 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
  65. 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.
  66. A big data-as-a-service architecture for naturalistic driving studies ↗ · 2021 · Alam, Md Rakibul et al.
  67. 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.
  68. Developing an Unreal Engine 4-Based Vehicle Driving Simulator Applicable in Driver Behavior Analysis—A Technical Perspective · 2021 · Michalík, David et al.
  69. Intelligent Driving Intelligence Test for Autonomous Vehicles with Naturalistic and Adversarial Environment · 2021 · Feng, Shuo et al.
  70. Real-World Driving Features for Identifying Intelligent Driver Model Parameters ↗ · 2021 · Hegde, Bharatkumar et al.
  71. Evaluation of Driver Behavior at Railroad-Highway Grade Crossings Using Naturalistic Driving Study Data · 2021 · Lautala, Pasi Tapio et al.
  72. Analysis of Naturalistic Driving Data to Assess Distraction and Drowsiness in Drivers of Commercial Motor Vehicles [Research Brief] · 2021 · NHTSA
  73. Fast Lane - Exploring Human Behavior - Volume 14 · 2021 · NHTSA
  74. Naturalistic Driving Data Baseline for Automated Driving System-Equipped Commercial Motor Vehicles [Technology Brief] · 2021 · NHTSA
  75. A Systematic Review of Virtual Reality Applications for Automated Driving: 2009–2020 · 2021 · Riegler, Andreas et al.
  76. Use of Naturalistic Driving Studies for Identification of Vehicle Dynamics · 2021 · Reicherts, Sebastian et al.
  77. Connected and Automated Vehicle (CAV) Data Infrastructure and Access Phase 1 and 2 · 2021 · Spradlin, Helen K et al.
  78. 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.
  79. Multimodal Driver State Modeling through Unsupervised Learning · 2021 · Tavakoli, Arash et al.
  80. Evaluation of Naturalistic Driving Behavior Using In-Vehicle Monitoring Technology in Preclinical and Early Alzheimer’s Disease · 2020 · Davis, Jennifer et al.
  81. Examining the Feasibility of Using Naturalistic Driving Study Data for Validating Speed Prediction Models ↗ · 2020 · Geedipally, Srinivas R. et al.
  82. Driver's Interactions with Advanced Vehicles in Various Traffic Mixes and Flows (Connected and Autonomous Vehicles (CAVs), Electric Vehicles (EVs), V2X, Trucks, Bicycles and Pedestrians) - Phase I: Driver Behavior Study and Parameters Estimation · 2020 · Jeihani, Mansoureh et al.
  83. In-Vehicle Voice Control Interface Evaluation: Preliminary Driver Workload and Risk Analysis · 2020 · Jenness, James et al.
  84. Real-World Use of Automated Driving Systems and their Safety Consequences: A Naturalistic Driving Data Analysis · 2020 · Kim, Hyungil et al.
  85. Modeling Driver Behavior and Aggressiveness Using Biobehavioral Methods – Phase II · 2020 · Kondyli, Alexandra et al.
  86. Driver Behavior at Highway-Rail Grade Crossings Using NDS and Driving Simulators · 2020 · Lautala, Pasi Tapio et al.
  87. 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.
  88. Think Aloud Protocol Applied in Naturalistic Driving for Driving Rules Generation ↗ · 2020 · Monsalve, Borja et al.
  89. Realistic Artificial Datasets: Objective Evaluation of Data-Driven Safety Analysis Models · 2020 · NHTSA
  90. Automatic Versus Interactive Vehicle Navigation Aids ↗ · 2020 · Zaidel, David et al.
  91. Assessing the effect of COVID-19 travel and work restrictions on vehicle trips: A naturalistic driving case study ↗ · 2020 · Perez, Miguel et al.
  92. Connected and Automated Vehicle Based Intersection Maneuver Assist Systems (CAVIMAS) and Their Impact on Driver Behavior, Acceptance, and Safety · 2020 · Pradhan, Anuj K. et al.
  93. Evaluation of Work Zone Mobility by Utilizing Naturalistic Driving Study Data [supporting dataset] · 2020 · Zhou, Huaguo Hugo et al.
  94. Second strategic highway research program naturalistic driving study methods ↗ · 2019 · Antin, Jonathan F. et al.
  95. Predicting Changes in Driving Safety Performance on an Individualized Level Under Naturalistic Driving Conditions · 2019 · Cavuoto, Lora et al.
  96. MIT Advanced Vehicle Technology Study: Large-Scale Naturalistic Driving Study of Driver Behavior and Interaction With Automation · 2019 · Fridman, Lex et al.
  97. Older Driver Support System Field Operational Test · 2019 · Libby, David et al.
  98. Driver Training Research and Guidelines for Automated Vehicle Technology · 2019 · Manser, Michael P. et al.
  99. Driving simulator for evaluating the effects of road geometric design on driver behavior · 2019 · Bobermin, Mariane Paula et al.
  100. HumanFIRST Driving Simulation Educational Development · 2019 · Morris, Nichole L. et al.
  101. Safely and Effectively Communicating Non-Connected Vehicle Information to Connected Vehicles through Field- and Driving-Simulator-Based Research · 2019 · Noyce, David A. et al.
  102. Investigating Camera Calibration Methods for Naturalistic Driving Studies ↗ · 2019 · Paone, Jeffrey et al.
  103. Driving Etiquette · 2019 · Peng, Huei et al.
  104. Evaluation of Work Zone Mobility by Utilizing Naturalistic Driving Study Data · 2019 · Zhou, Huaguo Hugo et al.
  105. A Toolbox for Automated Driving Research in the Simulator ↗ · 2018 · Eriksson, Alexander et al.
  106. Determining Older Adults' Fitness-to-Drive: Comparing the Standard On-road Driving Evaluation and the Naturalistic Driving Observation ↗ · 2018 · Chen, Yu-Ting et al.
  107. Adaptive driver modelling in ADAS to improve user acceptance: A study using naturalistic data · 2018 · Fleming, James M. et al.
  108. Statistical Methods for Naturalistic Driving Studies ↗ · 2018 · Guo, Feng
  109. Modeling Driver Behavior and Aggressiveness Using Biobehavioral Methods - Phase I · 2018 · Kondyli, Alexandra et al.
  110. Driver Training Research and Guidelines for Automated Vehicle Technology [supporting datasets] · 2018 · Manser, Michael P. et al.
  111. EAR Program Research Results - Updated Through 2018 : [brochure] · 2018 · NHTSA
  112. Virtual Road Safety Audits: Recommended Procedures for Using Driving Simulation and Technology to Expand Existing Practices · 2018 · Noyce, David A. (David Alan), 1961- et al.
  113. NATURALISTIC DRIVING STUDIES FROM CANDRIVE – A LONGITUDINAL STUDY OF OLDER DRIVERS IN CANADA ↗ · 2018 · Porter, M
  114. Naturalistic Study of Level 2 Driving Automation Functions · 2018 · Russell, Sheldon M. et al.
  115. Data and methods for studying commercial motor vehicle driver fatigue, highway safety and long-term driver health · 2018 · Stern, Hal S. et al.
  116. The Longitudinal Research on Aging Drivers (LongROAD) Study: Understanding the Design and Methods · 2017 · AAA Foundation for Traffic Safety
  117. Analysis of volatility in driving regimes extracted from basic safety messages transmitted between connected vehicles · 2017 · Khattak, Asad J. et al.
  118. 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.
  119. TrafficNet: An open naturalistic driving scenario library · 2017 · Zhao, Ding et al.
  120. The Potential of Multiple Connected and Federated Simulators and Models for Highway Transportation Research · 2017 · Fisher, Donald et al.
  121. Using Naturalistic Data to Develop Simulator Scenarios · 2017 · Gaspar, John et al.
  122. Leveraging the Second Strategic Highway Research Program Naturalistic Driving Study: Examining Driver Behavior When Entering Rural High-Speed Intersections · 2017 · Jackson, Steven
  123. Validation of driving behaviour as a step towards the investigation of Connected and Automated Vehicles by means of driving simulators ↗ · 2017 · Pariota, Luigi et al.
  124. PERSPECTIVES FOR SURROGATE SAFETY STUDIES IN EAST-EUROPEAN COUNTRIES · 2017 · Ušpalytė-Vitkūnienė, Rasa et al.
  125. Transferability of Car-Following Models Between Driving Simulator and Field Traffic · 2017 · Papadimitriou, Stavros et al.
  126. COMPARISON OF THE ACCESSIBILITY AND CONTENT OF DRIVING RECORDS FROM MULTIPLE STATES ↗ · 2017 · Strogatz, David et al.
  127. Development of a Robust Database for Measuring Human Gaze Behavior and Performance during Naturalistic Driving ↗ · 2017 · Tavassoli, Abtine et al.
  128. History of Intelligent Transportation Systems · 2016 · Auer, Ashley et al.
  129. The study design of UDRIVE: the naturalistic driving study across Europe for cars, trucks and scooters · 2016 · Barnard, Yvonne et al.
  130. Using Naturalistic Driving Performance Data to Develop an Empirically Defined Model of Distracted Driving · 2016 · Bingham, C. Raymond et al.
  131. Investigating Critical Incidents, Driver Restart Period, Sleep Quantity, and Crash Countermeasures in Commercial Vehicle Operations Using Naturalistic Data Collection · 2016 · Blanco, Myra et al.
  132. Connected Vehicle Pilot Deployment Program Phase 1, Human Use Approval Summary, Tampa (THEA) · 2016 · Blue, Victor J. et al.
  133. Performance Assessment of an Onboard Monitoring System for Commercial Motor Vehicle Drivers: A Field Operational Test · 2016 · Boyle, Linda Ng et al.
  134. 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.
  135. Evaluation of an in-vehicle monitoring system (IVMS) to reduce risky driving behaviors in commercial drivers: Comparison of in-cab warning lights and supervisory coaching with videos of driving behavior · 2016 · Bell, Jennifer et al.
  136. 2013–2014 National Roadside Study of Alcohol and Drug Use by Drivers: Methodology · 2016 · Kelley-Baker, Tara et al.
  137. Reducing energy use and emissions through innovative technologies and community designs. · 2016 · Khattak, Asad J. et al.
  138. Federal Motor Carrier Safety Administration's Advanced System Testing Utilizing a Data Acquisition System on the Highways (FAST DASH) Safety Technology Evaluation Project #2: Driver Monitoring Final Report · 2016 · Krum, Andrew et al.
  139. Pragmatic overview of surrounding traffic implementation into driving simulator ↗ · 2016 · Matowicki, Michal et al.
  140. Assessment Report of US-Japan-Europe Collaborative Research on Probe Data International Probe Data Work Group Phase 2. · 2016 · McGurrin, Michael et al.
  141. EAR Program Research Results: Updated through 2016 · 2016 · NHTSA
  142. 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.
  143. Usage Guidelines of SHRP 2 Naturalistic Driving Study Data for Nevada · 2016 · Xu, Hao et al.
  144. Using Naturalistic Driving Data to Assess Vehicle-to-Vehicle Crashes Involving Fleet Drivers · 2015 · AAA Foundation for Traffic Safety
  145. Traffic and Driving Simulator Based on Architecture of Interactive Motion · 2015 · Paz, Alexander et al.
  146. Exploring naturalistic driving data for distracted driving measures : [research project capsule]. · 2015 · Ishak, Sherif
  147. Exploratory Advanced Research Program : Video Analytics Research Projects · 2015 · NHTSA
  148. Independent Evaluation of Light-Vehicle Safety Applications Based on Vehicle-to-Vehicle Communications Used in the 2012–2013 Safety Pilot Model Deployment · 2015 · Nodine, Emily et al.
  149. Benefits and challenges of multi‐driver simulator studies ↗ · 2015 · Oeltze, Katharina et al.
  150. Public Roads Vol. 78 No. 5 · 2015 · Paniati, Jeffery F. et al.
  151. Making Driving Simulators More Useful for Behavioral Research: Simulator Characteristics Comparison and Model-Based Transformation, Summary Report · 2015 · Philips, Brian H. et al.
  152. Australia's naturalistic driving study ↗ · 2015 · Grzebieta, Raphael
  153. An Observational Evaluation of Safety and Operations Resulting From Driver Distraction · 2015 · Romoser, Matthew R. E. et al.
  154. Can we talk about Speed? The Effect of Verbal Protocols on Driver Speed and Perceived Workload ↗ · 2015 · Thomas, Miles et al.
  155. Compendium of Traffic Safety Research Projects 1985–2013 · 2014 · Agimi, Yll et al.
  156. Using Floating Car Data to Analyse the Effects of ITS Measures and Eco-Driving · 2014 · Garcia-Castro, Alvaro et al.
  157. Naturalistic Driving Study: Field Data Collection ↗ · 2014 · Blatt, Alan et al.
  158. Passenger Vehicle Idling in Vermont, Phase II · 2014 · Dowds, Jonathan et al.
  159. Driving simulator validation of driver behavior with limited safe vantage points for data collection in work zones ↗ · 2014 · Bham, Ghulam H. et al.
  160. Driving Simulator Project · 2014 · Khaddar, Romesh et al.
  161. Development of an Interdisciplinary Simulation Environment for Traffic Safety Modeling ↗ · 2014 · McNamara, Margaret
  162. EAR Program Research Results: Updated through 2014 · 2014 · NHTSA
  163. NHTSA’s Behavioral Safety Research: Updated, Annotated Bibliography, 1985–2013 [Traffic Tech] · 2014 · NHTSA
  164. Utilizing various data sources for surface transportation human factors research : workshop summary report, November 6-7, 2013 · 2014 · Romo, Alicia et al.
  165. A Naturalistic Driving Study Across the Lifespan. Final Report · 2014 · Stavrinos, Despina et al.
  166. Can Intermittent Video Sampling Capture Individual Differences in Naturalistic Driving? ↗ · 2013 · Aksan, Nazan et al.
  167. Geo‐referencing naturalistic driving data using a novel method based on vehicle speed ↗ · 2013 · Balsa‐Barreiro, José et al.
  168. Vehicle-based studies of driving in the real world: The hard truth? ↗ · 2013 · Carsten, Oliver et al.
  169. Comparison of driver distraction evaluations across two simulator platforms and an instrumented vehicle · 2013 · Chrysler, ST et al.
  170. On-the-road driver behavior experimentation: Issues and approaches ↗ · 2013 · Lerner, N et al.
  171. SHRP2 naturalistic driving study, phase I summary : State College, Pennsylvania data collection site. · 2013 · Fraser, Janet L. et al.
  172. A Simulation-Based Assessment Approach to Increase Safety Among Senior Drivers · 2013 · Hulme, Kevin F. et al.
  173. Driving Behavior and Simulator Sickness While Driving the Vehicle in the Loop: Validation of Longitudinal Driving Behavior ↗ · 2013 · Karl, Ines et al.
  174. Development and evaluation of a Driving Observation Schedule (DOS) to study everyday driving performance of older drivers · 2013 · Koppel, Sjaan et al.
  175. The contribution of on-road studies of road user behaviour to improving road safety ↗ · 2013 · Lenné, Michael G.
  176. Protocol for Candrive II/Ozcandrive, a multicentre prospective older driver cohort study · 2013 · Marshall, Shawn et al.
  177. The view from the road: The contribution of on-road glance-monitoring technologies to understanding driver behavior ↗ · 2013 · Taylor, T. et al.
  178. 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.
  179. US-Japan Collaborative Research on Probe Data: Assessment Report · 2013 · Vasudevan, Meenakshy et al.
  180. Development of a Linked Simulation Network to Evaluate Intelligent Transportation System Vehicle to Vehicle Solutions · 2012 · Sawyer, Ben D. et al.
  181. Automated video feature extraction : workshop summary report October 10-11 2012. · 2012 · Morton, Tom
  182. Literature review on recent international activity in cooperative vehicle–highway automation systems. · 2012 · Shladover, S.E.
  183. Recent International Activity in Cooperative Vehicle–Highway Automation Systems · 2012 · Shladover, S.E.
  184. Functional Assessments, Safety Outcomes, and Driving Exposure Measures for Older Drivers · 2012 · Staplin, Loren et al.
  185. Passenger Vehicle Idling in Vermont: Year 1 Report · 2012 · Sullivan, Jim et al.
  186. 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.
  187. Using naturalistic driving films as a design tool for investigating driver requirements in HMI design for ADAS ↗ · 2012 · Wang, Minjuan et al.
  188. Trends of Transportation Simulation and Modeling Based on a Selection of Exploratory Advanced Research Projects: Workshop Summary Report · 2012 · Yang, C. Y. David et al.
  189. Public Roads Vol. 75 No. 3 · 2011 · Brumfield, Ryan et al.
  190. Evaluation of a Method to Estimate Driving Workload in Real Time: Watching Video Clips Versus Simulated Driving · 2011 · Green, Paul et al.
  191. Using real-world data to calibrate a driving simulator measuring lateral driving behaviour ↗ · 2011 · Jia, L. et al.
  192. Improving driver safety with behavioral countermeasures. · 2011 · Lenneman, John K. et al.
  193. Crash Warning Interface Metrics: Final Report · 2011 · Lerner, Neil et al.
  194. Connected Vehicle Safety Pilot Program · 2011 · NHTSA
  195. Midwest Transportation Consortium : 2010-2011 annual report. · 2011 · NHTSA
  196. Showcase of Advanced Simulator Capabilities for Training and Testing Commercial Motor Vehicle Drivers · 2011 · NHTSA
  197. SafeTrip 21 initiative : networked traveler foresighted driving field experiment, final report. · 2011 · Nowakowski, Christopher et al.
  198. Integrated Vehicle-Based Safety Systems Field Operational Test : Final Program Report · 2011 · Sayer, J. et al.
  199. Systematic Analysis of Real-World Driving Behavior Following Focal Brain Lesions ↗ · 2011 · Thompson, Kelsey et al.
  200. Using driving simulators to assess driving safety ↗ · 2010 · Boyle, Linda Ng et al.