Differences in driving performance due to headway distances and gender: the application of jerk cost function

• Autorzy: Choi J.-S. , Kim H.-S. , Shin Y.-H. , Choi M.-H. , Chung S.-C. , Min B.-C. , Tack G.-R.
• Języki publikacji: EN

Abstrakty

EN

Driving is directly controlled by the driver's movement. This study tried to compare differences in gender and headway distances between the DRIVING phase and the SUDDEN STOP phase by using subjects’ movement during driving in the simulator. To quantify subjects’ movement, the jerk cost function (JC) was used, and conventional vehicle control parameters such as the coefficient of variation of the mediolateral trajectory (MLCV) for lane keeping and the brake time (BT) were also used. As the headway distance increased, MLCV and JC decreased significantly in the DRIVING phase. In the SUDDEN STOP phase, BT was increased and, MLCV and JC were decreased. Differences between genders were detected for both MLCV (males < females) and JC (males > females). The results of this study demonstrate that JC may be used as a variable in evaluating driving performance as influenced by driving conditions and gender.

Słowa kluczowe

EN

driving simulator; motion analysis; gender; sudden stop; headway distance

PL

kierowcy i maszyniści; analiza ruchu; prowadzenie pojazdu; płeć; ruch drogowy

• Wydawca: Taylor & Francis
• Czasopismo: International Journal of Occupational Safety and Ergonomics
• Rocznik: 2015
• Tom: Vol. 21, No. 1
• Strony: 111--117
• Opis fizyczny: Bibliogr. 34 poz.,

Twórcy

autor

Choi J.-S.

• Konkuk University, South Korea

autor

Kim H.-S.

• Konkuk University, South Korea

autor

Shin Y.-H.

• Konkuk University, South Korea

autor

Choi M.-H.

• Konkuk University, South Korea

autor

Chung S.-C.

• Konkuk University, South Korea

autor

Min B.-C.

• Hanbat National University, South Korea

autor

Tack G.-R.

• Konkuk University, South Korea

Bibliografia

• 1. Wester AE, Bocker KBE, Volkerts ER, Verster JC, Kenemans JL. Event-related potentials and secondary task performance during simulated driving. Accid Anal Prev. 2008;40(1):1-7. doi: 10.1016/j.aap.2007.02.014
• 2. Casey S, Lund A. Three field studies of driver speed adoption. Hum Factors. 1987;29(5):541–550.
• 3. Summala H. Accident risk and driver behavior. Saf Sci. 1996;22(1-3):103-117. doi: 10.1016/0925-7535(96)00009-4
• 4. Alexander J, Barham P, Black I. Factors influencing the probability of an incident at a junction: results from an interactive driving simulator. Accid Anal Prev. 2002;34(6):779-792. doi: 10.1016/S0001-4575(01)00078-1
• 5. Cantin V, Lavalliere M, Simoneau M, Teasdale N. Mental workload when driving in a simulator: effects of age and driving complexity. Accid Anal Prev. 2009;41(4):763-771. doi: 10.1016/j.aap.2009.03.019
• 6. Horberry T, Anderson J, Regan MA, Triggs TJ, Brown J. Driver distraction: the effects of concurrent in-vehicle tasks, road environment complexity and age on driving performance. Accid Anal Prev. 2006;38(1):185-191. doi: 10.1016/j.aap.2005.09.007
• 7. Lee HC, Lee AH, Cameron D, Li-Tsang C. Using a driving simulator to identify older drivers at inflated risk of motor vehicle crashes. J Saf Res. 2003;34(4):453-459. doi: 10.1016/j.jsr.2003.09.007
• 8. Roenker DL, Cissell CM, Ball KK, Wadley VG, Edwards JD. Speed-of-processing and driving simulator training result in improved driving performance. Hum Factors. 2003;45(2):218-233. doi: 10.1518/hfes.45.2.218.27241
• 9. Asao T, Wadam T, Doi S. The effect of physical workloads on driving performance. In: Proceedings of the 19th International Technical Conference on Enhanced Safety Vehicles; 2005 June 6–9; Washington (DC): No. 05–0435.
• 10. West R, Elander J, French D. Decision making, personality and driving style as correlates of individual accident risk. Crowthorne (UK): Transport Research Laboratory; 1992. (Contractor report 309).
• 11. Anstey KJ, Wood J, Lord S, Walker JG. Cognitive, sensory and physical factors enabling driving safety in older adults. Clin Psychol Rev. 2005;25(1):45-65. doi: 10.1016/j.cpr.2004.07.008
• 12. McGwin G Jr, Brown DB. Characteristics of traffic crashes among young, middle-aged, and older drivers. Accid Anal Prev. 1999;31(3):181-198. doi: 10.1016/S0001-4575(98)00061-X
• 13. Choi JS, Kim HS, Kang DW, Choi MH, Kim HS, Hong SP, Yu NR, Lim DW, Min BC, Tack GR, Chung SC. The effects of disruption in attention on driving performance patterns: analysis of jerk-cost function and vehicle control data. Appl Ergon. 2013;44(4):538-543. doi: 10.1016/j.apergo.2012.11.004
• 14. Hreljac A. Stride smoothness evaluation of runners and other athletes. Gait Posture. 2000;11(3):199–206. doi: 10.1016/S0966-6362(00)00045-X
• 15. Remy-Neris O, Tiffreau V, Bouilland S, Bussel B. Intrathecal baclofen in subjects with spastic hemiplegia: assessment of the antispastic effect during gait. Arch Phys Med Rehabil. 2003;84(5):643–650. doi: 10.1016/S0003-9993(02)04906-7
• 16. Wiegner W, Margaret WM. Kinematic models and human elbow flexion movements: quantitative analysis. Exp Brain Res. 1992;88(3):665-673. doi: 10.1007/BF00228196
• 17. Yan JH, Rountree S, Massman P, Doody RS, Li H. Alzheimer's disease and mild cognitive impairment deteriorate fine movement control. J Psychiatr Res. 2008;42(14):1203-1212. doi: 10.1016/j.jpsychires.2008.01.006
• 18. Zatsiorsky VM. Kinematics of human motion. Champaign (IL): Human Kinetics; 2002.
• 19. Hogan N. An organizing principle for a class of voluntary movement. J Neurosci. 1984;4(11):2745–2754.
• 20. Viviani P, Flash T. Minimum-jerk, two-thirds power law, and isochrony: converging approaches to movement planning. J Exp Psychol Hum Percept Perform. 1995;21(1):32-53. doi: 10.1037/0096-1523.21.1.32
• 21. Tack GR, Choi JS, Yi JH, Kim CH. Relationship between jerk cost function and energy consumption during walking. In: Magjarevic R, Nagel JH, editors. World Congress on Medical Physics and Biomedical Engineering 2006: August 27 – September 1, 2006 COEX Seoul, Korea “Imaging the Future Medicine”. Vol. 14, IFMBE Proceedings. Berlin: Springer; 2007. p. 2917–2918.
• 22. Bellet T, Bailly-Asuni B, Mayenobe P, Banet A. A theoretical and methodological framework for studying and modeling drivers’ mental representations. Saf Sci. 2009;47(9):1205-1221. doi: 10.1016/j.ssci.2009.03.014
• 23. Duan J, Li Z, Salvendy G. Risk illusions in car following: Is a smaller headway always perceived as more dangerous?. Saf Sci. 2013;53:25-33. doi: 10.1016/j.ssci.2012.09.007
• 24. Brooks JO, Goodenough RR, Crisler MC, Klein ND, Alley RL, Koon BL, Logan WC Jr, Ogle JH, Tyrrell RA, Wills RF. Simulator sickness during driving simulation studies. Accid Anal Prev. 2010;42(3):788-796. doi: 10.1016/j.aap.2009.04.013
• 25. Min BC, Chung SC, Min YK, Sakamoto K. Psychophysiological evaluation of simulator sickness evoked by a graphic simulator. Appl Ergon. 2004;35(6):549-556. doi: 10.1016/j.apergo.2004.06.002
• 26. Brumby DP, Salvucci DD, Howes A. Focus on driving: how cognitive constraints shape the adaptation of strategy when dialing while driving. In: Proceedings of the 27th International Conference on Human Factors in Computing Systems. New York: ACM; 2009. p. 1629-1638.
• 27. Winter DA. Biomechanics and motor control of human movement. 3rd ed. Hoboken (NJ): Wiley; 2005.
• 28. Giakas G, Baltzopoulos V. Optimal digital filtering requires a different cut-off frequency strategy for the determination of the higher derivatives. J Biomech. 1997;30(8):851-855. doi: 10.1016/S0021-9290(97)00043-2
• 29. Strayer DL, Drews FA, Crouch DJ. A comparison of the cell phone driver and the drunk driver. Hum Factors. 2006;48(2):381-391. doi: 10.1518/001872006777724471
• 30. Consiglio W, Driscoll P, Witte M, Berg WP. Effect of cellular telephone conversations and other potential interference on reaction time in a braking response. Accid Anal Prev. 2003;35(4):495–500. doi: 10.1016/S0001-4575(02)00027-1
• 31. Lee JD, McGehee DV, Brown TL, Reyes ML. Collision warning timing, driver distraction, and driver response to imminent rear-end collisions in a high-fidelity driving simulator. Hum Factors. 2002;44(2):314-334. doi: 10.1518/0018720024497844
• 32. Tack GR, Han YM, Choi JS, Lee JH, Lim YT, Jun JH. Relationship between walking speed and smoothness of movement. Korean J Sport Biomech. 2006;16(1):11-17. doi: 10.5103/KJSB.2006.16.1.011
• 33. Lim YT, Choi JS, Han YM, Kim HS, Yi JH, Jun JH, Tack GR. Analysis of golf putting for elite & novice golfers using jerk cost function. Korean J Sport Biomech. 2006;16(1):1-10. doi: 10.5103/KJSB.2006.16.1.001
• 34. Mary FL, Peter AH. Driving performance during concurrent cell-phone use: are drivers aware of their performance decrements? Accid Anal Prev. 2004;36(3):471-480. doi: 10.1016/S0001-4575(03)00042-3

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.