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13 video and binary data collected from 131,400 vehicle miles Concluding Remarks of travel. Four cameras are used to collect driving data: forward, As demonstrated in this chapter, there have been significant rear, driver's face, and instrument panel over the driver's efforts to gather naturalistic driver behavior using video and shoulder. Other data collected include latitude and longitude other sensor systems. These data sources will be analyzed in acceleration, forward radar-collected data, lanetracker data more detail in Chapter 3. that tracks lane changing, GPS location, and acceleration. References Project 15: Cooperative 1. Dingus, T., V. Neale, S. Garness, R. Hanowski, A. Keisler, S. Lee, M. Intersection Collision Perez, G. Robinson, S. Belz, J. Casali, E. Pace Schott, R. Stickgold, and Avoidance System for J. A. Hobson. Impact of Sleeper Berth Usage on Driver Fatigue. Report RT-02-050. FMCSA, 2001. Violations Pilot Field 2. Impact of Sleeper Berth Usage on Driver Fatigue: Final Report. Report Operational Test FMCSA-MCRT-02-070. FMCSA, 2002. 3. Neale, V. L., G. S. Robinson, S. M. Belz, E. V. Christian, J. G. Casali, The Cooperative Intersection Collision Avoidance System for and T. A. Dingus. Impact of Sleeper Berth Usage on Driver Fatigue, Violations (CICAS-V) study was conducted by VTTI. This was Task 1: Analysis of Trucker Sleep Quality. Report DOT MC 00 204. the second study performed during the CICAS-V project. It Office of Motor Carrier Safety, FHWA, 1998. was a pseudonaturalistic field test of a collision warning system 4. University of Michigan Transportation Research Institute. Auto- for both effectiveness and driver acceptance. motive Collision Avoidance System Field Operational Test Report: Continuous video was collected on four channels: driver's Methodology and Results. Report DOT HS 809 900. NHTSA, 2005. 5. Henning, M., O. Georgeon, and J. Krems. The Quality of Behavioral face, instrument panel (over the driver's right shoulder), for- and Environmental Indicators Used to Infer the Intention to Change ward roadway, and rear roadway. The study collected 214 giga- Lanes. Proc., 4th International Driving Symposium on Human Factors bytes (GB) of data, which amounted to 194 h of data. Other in Driver Assessment, Training, and Vehicle Design, Stevenson, Wash., information, including vehicle network information (speed, 2007, pp. 231237. brake pedal, throttle, and turn signal); GPS (latitude, longi- 6. Lee, S. E., E. C. B. Olsen, and W. W. Wierwille. A Comprehensive tude, and heading); X, Y, and Z acceleration; forward and rear Examination of Naturalistic Lane Changes. Report DOT HS 809 702. NHTSA, 2004. radar-collected data; and reduced data, such as eyeglance 7. University of Michigan Transportation Research Institute. Road behavior and map-matching variables, were also available. For Departure Crash Warning System Field Operational Test: Methodology applicable intersections, only the distance to stop bar, time to and Results. NHTSA, 2006. intersection crossing, lane number, and signal phase were also 8. Dingus, T. A., S. G. Klauer, V. L. Neale, A. Petersen, S. E. Lee, J. Sud- gathered (19). weeks, M. A. Perez, J. Hankey, D. Ramsey, S. Gupta, C. Bucher, Z. R. Doerzaph, J. Jermeland, and R. R. Knipling. The 100-Car Naturalistic Driving Study, Phase II: Results of the 100-Car Field Experiment. Project 16: Volvo Driving Report DOT HS 810 593. NHTSA, 2006. Behavior Field Operational Test 9. Neale, V. L., S. G. Klauer, R. R. Knipling, T. A. Dingus, G. T. Holbrook, and A. Petersen. The 100-Car Naturalistic Driving The Swedish manufacturer Volvo is conducting an ongoing Study, Phase 1: Experimental Design. Report DOT HS 809 536. study to compile a variety of data about driving behavior. The NHTSA, 2002. 10. Hanowski, R. J., M. Blanco, A. Nakata, J. S. Hickman, W. A. Schaudt, research project is part of the European Union (EU) project M. C. Fumero, R. L. Olson, J. Jermeland, M. Greening, G. T. Hol- called EuroFOT, in which Volvo Cars and the SAFER Vehicle brook, R. R. Knipling, and P. Madison. The Drowsy Driver Warning and Traffic Safety Centre at Chalmers University of Technol- System Field Operational Test, Data Collection: Final Report. Report ogy are engaged. The overall goal is to develop a safer, cleaner, DOT HS 811 035. NHTSA and Virginia Tech Transportation Institute, and more efficient road transportation system in Europe. Blacksburg, Va., 2008. The study started in May 2008 and is expected to last 3 years. 11. Blanco, M., J. S. Hickman, R. L. Olson, J. L. Bocanegra, R. J. Hanowski, A. Nakata, M. Greening, P. Madison, G. T. Holbrook, Approximately 100 Volvo V70 and XC70 cars will be involved and D. Bowman. Investigating Critical Incidents, Driver Restart in the data collection. Period, Sleep Quantity, and Crash Countermeasures in Commercial Cameras to record the driver's head and eye movements, as Vehicle Operations Using Naturalistic Data Collection. FMCSA, 2008. well as the view of the road and behind the car are installed in 12. Sayer, J., J. Devonshire, and C. Flanagan. Naturalistic Driving Perfor- the car to collect video data. A data logger will also be used to mance During Secondary Tasks. Presented at 4th International Dri- record the information from the safety features in the car. Sys- ving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design, Stevenson, Wash., 2007. tems to be tested include Collision Warning with Auto Brake 13. McGehee, D., M. Raby, C. Carney, J. D. Lee, and M. L. Reyes. (CWAB), ACC, Lane Departure Warning System (LDWS), Extending Parental Mentoring Using an Event-Triggered Video Driver Alert Control (DAC), and Blind Spot Information Sys- Intervention in Rural Teen Drivers. Journal of Safety Research, tem (BLIS). Vol. 38, 2007, pp. 215222.
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14 14. McGehee, D. V., C. Carney, M. Raby, J. D. Lee, and M. L. Reyes. The 17. Doerzaph, Z. R., V. L. Neale, J. R. Bowman, D. C. Viita, and M. A. Impact of an Event-Triggered Video Intervention on Rural Teenage Maile. Cooperative Intersection Collision Avoidance System Limited to Driving. Presented at 4th International Driving Symposium on Stop Sign and Traffic Signal Violations: Subtask 3.2 Interim Report. Human Factors in Driver Assessment, Training, and Vehicle Design, NHTSA, 2008. Stevenson, Wash., 2007. 18. Staplin, L., K. H. Lococo, K. W. Gish, and C. Martell. A Pilot Study to 15. Lerner, N., J. Jenness, J. Singer, S. G. Klauer, S. Lee, M. Donath, M. Test Multiple Medication Usage and Driving Functioning. Report DOT Manser, and M. Ward. An Exploration of Vehicle-Based Monitoring of HS 810 980, NHTSA, 2008. Novice Teen Drivers: Draft Report. Virginia Tech Transportation Insti- 19. Neale, V. L., Z. R. Doerzaph, D. C. Viita, J. R. Bowman, T. Terry, R. tute, Blacksburg, Va., 2008. Bhagavathula, and M. A. Maile. Cooperative Intersection Collision 16. Doerzaph, Z. R., V. L. Neale, J. R. Bowman, and K. I. Wiegand. Live Avoidance System Limited to Stop Sign and Traffic Signal Violations: Stop-Controlled Intersection Data Collection. Virginia Transportation Subtask 3.4 Interim Report. NHTSA, 2008. Research Council, Charlottesville, Va., 2007.