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SHRP 2 Report S2-L10-RR-1: Feasibility of Using In-Vehicle Video Data to Explore How to Modify Driver Behavior That Causes Nonrecurring Congestion (2011)
Strategic Highway Research Program Reliability Focus Area (SHRP2REL)

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Katz, B, Park, S, Du, J, Rakha, H, Golembiewski, G, Guo, F, Doerzaph, Z, Viita, D, Kehoe, N, Rigdon, H, Transportation Research Board. "References." SHRP 2 Report S2-L10-RR-1: Feasibility of Using In-Vehicle Video Data to Explore How to Modify Driver Behavior That Causes Nonrecurring Congestion. Washington, DC: The National Academies Press, 2011.

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Page
78
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Page
78
Front Matter (R1-R10)
Introduction (1-1)
Findings (2-2)
Limitations of Existing Data Sets (3-3)
Recommendations (4-5)
Chapter 1 - Introduction (6-6)
Reference (7-7)
Project 2: Automotive Collision Avoidance System Field Operational Test (8-8)
Project 3: Quality of Behavioral and Environmental Indicators Used to Infer the Intention to Change Lanes (9-9)
Project 7: Drowsy Driver Warning System Field Operational Test (10-10)
Project 10: Effect of In-Vehicle Video and Performance Feedback on Teen Driving Behavior (11-11)
Project 14: Older Driver Field Operational Test (12-12)
References (13-14)
Quality of Vehicle Data (15-16)
Quality of External Data (17-19)
Evaluation of Candidate Data Sets (20-25)
Data Storage and Computation Requirements (26-27)
Data Reduction and Crash and Near-Crash Detection (28-40)
References (41-41)
Chapter 5 - General Guidelines for Video Data Analysis (42-42)
General Guidelines for Video Data Reduction (43-44)
References (45-45)
Literature Review (46-48)
Proposed Modeling Methodology (49-53)
References (54-55)
Overall Data Collection (56-56)
Kinematic Data (57-58)
Video Data (59-59)
Reduced Data (60-61)
Other Data Sources (62-62)
References (63-63)
Contributing Factors and Correctable Driver Behaviors (64-66)
Countermeasures (67-73)
Recommendations and Discussion (74-77)
References (78-78)
Appendix A - Project 2 Data Dictionary (79-86)
Appendix B - Project 5 Data Dictionary (87-93)
Appendix C - Project 7 and Project 8 Event Data Dictionary (94-122)
Appendix D - Project 7 and Project 8 Environmental Data Dictionary (123-127)
Reliability Technical Coordinating Committee (128-128)
Related SHRP 2 Research (129-129)

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78 sets collected by the program to complement the scantiness 5. Dingus, T. SHRP 2 S05 Status Update and Current Design Plans. Pre- of regular state-maintained traffic count and crash data. sented at SHRP2 Safety Research Symposium, Washington, D.C., 2008. http://onlinepubs.trb.org/onlinepubs/shrp2/TomDingus SymposiumPresentation.pdf. Accessed May 17, 2011. References 6. Blanco, M., J. S. Hickman, R. L. Olson, J. L. Bocanegra, R. J. Hanowski, A. Nakata, M. Greening, P. Madison, G. T. Holbrook, and 1. Lerner, N., J. Jenness, J. Singer, S. G. Klauer, S. Lee, M. Donath, D. Bowman. Investigating Critical Incidents, Driver Restart Period, Sleep M. Manser, and M. Ward. An Exploration of Vehicle-Based Monitoring Quantity, and Crash Countermeasures in Commercial Vehicle Opera- of Novice Teen Drivers: Draft Report. Virginia Tech Transportation tions Using Naturalistic Data Collection. FMCSA, 2008. Institute, Blacksburg, Va., 2008. 7. Fitch, G., H. Rakha, M. Arafeh, M. Blanco, S. Gupta, R. Zimmerman, 2. Hickman, J. S., R. R. Knipling, R. L. Olson, M. C. Fumero, M. Blanco, and R. Hanowski. Safety Benefit Evaluation of a Forward Collision and R. J. Hanowski. Phase I--Preliminary Analysis of Data Col- Warning System: Final Report. Report DOT HS 810 910. NHTSA, lected in the Drowsy Driver Warning System Field Operational Test: 2008. Task 5, Preliminary Analysis of Drowsy Driver Warning System Field 8. International Transport Forum. Towards Zero: Ambitious Road Safety Operational Test Data. NHTSA, 2005. Targets and the Safe System Approach. Organisation for Economic 3. University of Michigan Transportation Research Institute. Auto- Co-operation and Development, 2008. www.internationaltransport motive Collision Avoidance System Field Operational Test Report: forum.org/Pub/pdf/08TowardsZeroE.pdf. Accessed May 17, 2011. Methodology and Results. Report DOT HS 809 900 NHTSA, 2005. 9. Research and Innovative Technology Administration, U.S. Depart- 4. University of Michigan Transportation Research Institute. Road ment of Transportation. About Intelligent Transportation Systems. Departure Crash Warning System Field Operational Test: Methodology www.its.dot.gov/its_program/about_its.htm. Accessed May 17, and Results. NHTSA, 2006. 2011.