Studying the effects of driver distraction and traffic density on the probability of crash and near-crash events in naturalistic driving environment

IEEE Transactions on Intelligent Transportation Systems

Volumn 14, Issue 3, 2013, Pages 1547-1555

  Tian, Renran ^a,b   Li, Lingxi ^a,b   Chen, Mingye ^a,b   Chen, Yaobin ^a,b   Witt, Gerald J ^c  

^a Department of Electrical and Computer Engineering ^*  (United States)

^b Indiana University Purdue University Indianapolis   (United States)

^c DELPHI CORPORATION   (United States)

Author keywords

Cumulative driver off road glance duration; driver distraction; human factors; naturalistic driving environment; traffic density

Indexed keywords

CONDITIONAL PROBABILITIES; CUMULATIVE DRIVER OFF-ROAD GLANCE DURATION; DRIVER DISTRACTIONS; DRIVER-ASSISTANCE SYSTEMS; DRIVING ENVIRONMENT; LINEAR RELATIONSHIPS; PROBABILITY OF OCCURRENCE; TRAFFIC DENSITIES;

AUTOMOBILE DRIVERS; HUMAN ENGINEERING; PROBABILITY; ROADS AND STREETS;

ACCIDENTS;

EID: 84883775761     PISSN: 15249050     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITS.2013.2261988     Document Type: Article

References (28)

1. J. D. Lee, K. L. Young, and M. A. Regan, Defining driver distraction, in Driver Distraction: Theory, Effects, and Mitigation, K. Young, J. D. Lee, and M. A. Regan, Eds. Boca Raton, FL, USA: CRC, 2009, pp. 31-40.
2. K. Young and M. Regan, Driver distraction: A review of the literature, in Distracted Driving, I. J. Faulks, M. Regan, M. Stevenson, J. Brown, A. Porter, and J. D. Irwin, Eds. Sydney, NSW, Australia: Australasian College Road Safety, 2007, pp. 379-405.
3. T. Horberry, J. Anderson, M. A. Regan, T. J. Triggs, and J. Brown, Driver distraction: The effects of concurrent in-vehicle tasks, road environment complexity and age on driving performance, Accident Anal. Prev., vol. 38, no. 1, pp. 185-191, Jan. 2006.
4. B. Megan, K. L. Young, and M. A. Regan, Sources of distraction inside the vehicle and their effects on driving performance, in Driver Distraction: Theory, Effects, and Mitigation, K. Young, J. D. Lee, and M. A. Regan, Eds. Boca Raton, FL, USA: CRC, 2009, pp. 191-213.
5. Y. Dong, Z. Hu, K. Uchimura, and N. Murayama, Driver inattention monitoring system for intelligent vehicles: A review, IEEE Trans. Intell. Transp. Syst., vol. 12, no. 2, pp. 596-614, Jun. 2011.
6. M. Miyaji, H. Kawanaka, and K. Oguri, Driver?s cognitive distraction detection using physiological features by the adaboost, in Proc. 12th Int. IEEE Conf. Intell. Transp. Syst., St. Louis, MO, USA, Oct. 2009, pp. 1-6.
7. M. Miyaji, M. Danno, H. Wawanaka, and K. Oguri, Driver?s cognitive distraction detection using adaboost on pattern recognition basis, in Proc. IEEE Int. Conf. Veh. Electron. Safety, Columbus, OH, USA, Sep. 2008, pp. 51-56.
8. Y. Liang, M. L. Reyes, and J. D. Lee, Real-time detection of driver cognitive distraction using support vector machines, IEEE Trans. Intell. Transp. Syst., vol. 8, no. 2, pp. 340-350, Jun. 2007.
9. L. Yekhshatyan and J. D. Lee, Changes in the correlation between eye and steering movements indicate driver distraction, IEEE Trans. Intell. Transp. Syst., vol. 14, no. 1, pp. 136-145, Mar. 2013.
10. T. Jirayama, K. Mase, and K. Takeda, Detection of driver distraction based on temporal relationship between eye-gaze and peripheral vehicle behavior, in Proc. 15th Int. IEEE Conf. Intell. Transp. Syst., Anchorage, AK, USA, Sep. 2012, pp. 870-875.
11. M. Kutila, M. Jokela, G. Markkula, and M. R. Rue, Driver distraction detection with a camera vision system, in Proc. IEEE Int. Conf. Image Process., Sep. 2007, pp. VI-201-VI-204.
12. M. Sodhi and B. Reimer, Glance analysis of driver eye movements to evaluate distraction, Behav. Res. Methods, Instrum. Comput., vol. 34, no. 4, pp. 529-538, Nov. 2002.
13. A. Azman, Q. Meng, and E. Edirisinghe, Non-intrusive physiological measurement for driver cognitive distraction detection: Eye and mouth movements, in Proc. 3rd Int. Conf. Adv. Comput. Theory Eng., 2010, pp. V3-595-V3-599.
14. M. Su, C. Hsiung, and D. Huang, A simple approach to implementing a system for monitoring driver inattention, in Proc. IEEE Int. Conf. Syst., Man, Cybern., Taipei, Taiwan, Oct. 2006, pp. 429-433.
15. M. Wollmer, C. Blaschke, T. Schindl, B. Schuller, B. Farber, S. Mayer, and B. Trefflich, Online driver distraction detection using long short-term memory, IEEE Trans. Intell. Transp. Syst., vol. 12, no. 2, pp. 574-582, Jun. 2011.
16. F. Tango, C. Calefato, L. Minin, and L. Canovi, Moving attention from the road: A new methodology for the driver distraction evaluation using machine learning approaches, in Proc. 2nd Conf. Human Syst. Interact., Catania, Italy, May 2009, pp. 596-599.
17. Y. Liang, J. D. Lee, and L. Yekhshatyan, How dangerous is looking away from the road? Algorithms predict crash risk from glance patterns in naturalistic driving, Hum. Factors, vol. 54, no. 6, pp. 1104-1116, Dec. 2012.
18. N. Edenborough, R. Hammoud, A. Harbach, A. Ingold, B. Kisacanin, P. Malaway, T. Newman, G. Scharenbroch, S. Skiver, M. Smith, A. Wilhelm, G. Witt, E. Yoder, and H. Chang, Driver state monitor from Delphi, in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2005, vol. 2, pp. 1206-1207.
19. C. Ahlstrom, T. Victor, C. Wege, and E. Steinmetz, Processing of eye/head-tracking data in large-scale naturalistic driving data sets, IEEE Trans. Intell. Transp. Syst., vol. 13, no. 2, pp. 553-564, Jun. 2012.
20. M. Smith, G. Witt, D. L. Bakowski, D. Leblanc, and J. D. Lee, Adapting collision warnings to real-time estimates of driver distraction, in Driver Distraction: Theory, Effects, and Mitigation, K. Young, J. D. Lee, and M. A. Regan, Eds. Boca Raton, FL, USA: CRC, 2009, pp. 501-518.
21. J. D. Lee, J. D. Hoffman, and E. Hayes, Collision warning design to mitigate driver distraction, in Proc. SIGCHI Conf. Hum. Factors Comput. Syst., Vienna, Austria, Apr. 2004, pp. 65-72.
22. J. D. Lee, D. V. McGehee, T. L. Brown, andM. Reyes, Collision warning timing, driver distraction, and driver response to imminent rear-end collisions in a high-fidelity driving simulator, Hum. Factors, vol. 44, no. 2, pp. 314-334, 2002. (Pubitemid 35315402)
23. G. Abe, M. Itoh, and T. Yamamura, Visual distraction when driving and its influence on driver response to a forward collision warning system, in Proc. SICE Annu. Conf., Tokyo, Japan, Sep. 2011, pp. 179-183.
24. S. G. Klauer, J. Feng Guo, and T. A. Sudweeks, An analysis of driver inattention using a case-crossover approach on 100-car data: Final report, Nat. Highway Traffic Safety Admin., Washington, DC, USA, Tech. Rep. DOT HS 811-334, May 2010.
25. S. G. Klauer, T. A. Dingus, V. L. Neale, J. D. Sudweeks, and D. J. Ramsey, The impact of driver inattention on near-crash/crash risk: An analysis using the 100-car naturalistic driving study data, Nat. Highway Traffic Safety Admin., Washington, DC, USA, Tech. Rep. DOT HS 810-594, Apr. 2006.
26. T. A. Dingus, S. G. Klauer, V. L. Neale, A. Petersen, S. E. Lee, J. Sudweeks, 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, Nat. Highway Traffic Safety Admin., Washington, DC, USA, Tech. Rep. DOT HS 810- 593, Apr. 2006.
27. L. Li, D.Wen, N. Zheng, and L. Shen, Cognitive cars: A new frontier for ADAS research, IEEE Trans. Intell. Transp. Syst., vol. 13, no. 1, pp. 395- 407, Mar. 2012.
28. R. Yates and D. J. Goodman, Probability and Random Processes: A Friendly Introduction for Electrical and Computer Engineers, 2nd ed. Hoboken, NJ, USA: Wiley, 2004.