Fatigue Risk of Long-Distance Driver as the Impact of the Duration of Work

Authors

  • Rida Zuraida Bina Nusantara University

DOI:

https://doi.org/10.21512/comtech.v6i3.2207

Keywords:

fatigue, duration, driver’s fatigue, fatigue likelihood soring

Abstract

Studies on the driver's fatigue, must focus on at least two things: the time-of-day that affect by circadian factors, and time-on-task. This paper discusses the risk level of driver fatigue, which generally have to drive in a long duration or more than 4 hours. The risk of fatigue was assessed using Fatigue Likelihood Scoring (FLS) by Transport Canada. Based on interviews with 24 inter-city bus drivers, 18 of the 24 drivers have a very high risk of fatigue that characterized by FLS scores greater than 20, while the rest have a high risk driver that characterized by FLS value greater than 10. A high risk of chronic fatigue that experienced by most of drivers caused by working hours which is more than 36 hours in a week, the duration of the shift of greater than 8 hours a day, lack of time off, the amount hours of driving at night, and the amount of time off.

Dimensions

Plum Analytics

References

Atack, J., Bateman, F., Margo, R.A. (2003). Productivity in manufacturing and the length of the working day: evidence from the 1880 census of manufactures. Explorations in Economic History, 40(2):170-194.

Baulk S.D., Biggs, S.N., Reid, K.J., van den Heuvel C.J., Dawson D. (2008). Chassing the silver bullet: measuring driver fatigue using simple and complex tasks. Accidents Analysis and Prevention, 40: 396-402.

Boksem, Maarten A. S., Meijman, T. F., Lorist, Monicque M. (2005). Effects of mental fatigue on attention: an ERP study. Cognitive Brain Research, 25: 107-116.

Dembe, A. E., Erickson J. B., Delbos R. G., Banks S. M. (2005). The impact of overtime and long hours on occupational injuries and illnesses: new evidence from the United States. Occupational Environment Medicine, 62: 588-597

Desai, A. V., Haque, M. A. (2006). Vigilance monitoring for operator safety: a simulation study on highway driving, Journal of Safety Research, 37: 139-147.

Dingus, T.A., Klauer, S. G., Neale, V. L., Petersen A., Lee, S. E., Sudweeks, J., Perez, M. A., Hankey, J., Ramsey, D., Gupta S., Bucher, C., Doerzaph, Z. R., Jemerland, J., Knipling, R. R. (2006). The 100-car naturalistic driving study, phase II-result of the 100-car field experiment. Report no. DOT HS 810 593. National Highway Traffic Safety Administration, Washington, DC.

Evans, L. (1991). Traffic Safety. New York: Van Nostrand Reinhold.

Hanowski, R. J., Wierwille W. W., Dingus, T. A. (2003). An on-road study to investigasi fatigue in local/short haul trucking. Accident Analysis and Prevention, 35: 153-160.

Horne, J. A., Reyner, L. A. (1995). Falling asleep at the wheel. Report TRL 168. Crowthorne: Transport Research Laboratory.

Horrey W. J., Noy Y. I., Folkard S., Stephen M. P., Howarth H. D., Courtney T. K. (2011). Research needs and opportunities for reducing the adverse safety consequences of fatigue. Accident Analysis and Prevention, 43: 591-594.

Lal, S. K., Craig, A. (2001). A critical review of psychophysiology of driver’s fatigue. Biological Psychology, 55: 173-194.

Lamond N., Dawson, D. (1999). Quantifying the performance impairment associated with fatigue. Journal Sleep Research 8: 255-262.

MacLean, A., Davies, D., Thiele, K. (2003). The hazards and prevention of driving while sleepy. Sleep Medicine Reviewes, 7: 507-521.

Marcora, Samuele M., Staiano, W., Manning, V. (2009). Mental Fatigue impairs physical performance in humans. Journal Application Plysiologi, 106: 857-864. Philip, P., Sagaspe, P., Moore, N., Taillard, J., Charles, A.,

Guilleminault, C. (2005). Fatigue, Sleep Restriction and Driving Performance. Accident Analysis and Prevention, 37: 473-478.

Sang, Y., Li, J. (2012). Research on Beijing Bus Driver Psychology Fatigue Evaluation. Procedia Engineering, 43: 443-448.

Smolensky, M. H., Milia, L. D., Ohayon, M. M., Philip, P. (2011). Sleep Disorder, medical conditions, and road accident risk. Accident Analysis and Prevention, 43: 533-548

Saito, K. (1999). Measurement of Fatigue in Industries. Industrial Health, 37: 134-142.

Steege, L. M. B, Nussabaum, M. A. (2013). Dimension of fatigue as predictors of Performance: A structural Equation Modelling Approach among Registered Nurses, IIE Transaction on Occupational Ergonomics and Human Factors: 16-30.

Tanaka M., Shigihara Y., Funakura M., Kanai, E., Watanabe, Y. (2012). Fatigue-Associated Alterations of Cognitive Function and Electroencephalographic Power Densities. PLoS One,

(4):1-5.

Ting, P. H., Hwang, J. R., Doong, J. L., Jeng, M. C. (2008). Driver Fatigue and highway driving: A simulator study. Physiology and Behavior, 94: 448-453.

Transport Canada. (2011). Chapter 6 Level 2 Controls Assessing Actual Sleep. Diakses pada 20 Juni 2013, dari Transport Canada: http://www.tc.gc.ca/eng/civilaviation/publications/page-

htm

Tyagi R., Shen, K., Shao, S., Li, X. (2009). A novel auditory working-memory vigilance task for mental fatigue asssment. Safety Science, 47: 967-972.

Wang L., Pei, Y. (2014). The Impact of continuous driving time and ret time on commercial drivers’ driving performance and recovery. Journal of Safety Research, 50: 11-15.

Weiss, H. B., Kaplan, S., Prato, C. G., (2014) Analysis of factors associated with injury severity in crashes involving young New Zealand drivers. Accidents Analysis and Prevention, 65: 142-155.

Winwood, P. C, Winefield, A. H., Dawson D., Lushington, K. (2005). Development and validation of a Scale to Measure Work-Related Fatigue and Recovery: The Occupational Fatigue Exhaustion/Recovery Scale (OFER). American College of Occupational and Environmental

Medicine: 594-606.

Williamson, A., Lombardi, D., Folkard, S., Stutts , J., Courtney, T., Connor, J. (2011). The link between fatigue and safety. Accident Analysis and Prevention, 43: 498-515.

World Health Organization. (2013). World report on road traffic injury prevention. Geneva: WHO Press

Yanli M. A., Lou, Y., Wang, Y. (2010). Road Traffic Accidents Model and Its Application Based on Driver’s self-mistakes. Journal of Transportation System Engineering and Information Technology, 10(4): 101-105.

Downloads

Published

2015-09-01

Issue

Section

Articles
Abstract 865  .
PDF downloaded 1094  .