MEASUREMENT OF DRIVER DISTRACTION IN MALAYSIA’S TRAFFIC ENVIRONMENT: A DRIVING SIMULATOR STUDY

Authors

  • Mohd Firdaus Mohd Siam Malaysian Institute of Road Safety Research, 43000 Kajang, Selangor Darul Ehsan, Malaysia
  • Mohd Hafzi Md Isa Malaysian Institute of Road Safety Research, 43000 Kajang, Selangor Darul Ehsan, Malaysia
  • Nurulhana Borhan Malaysian Institute of Road Safety Research, 43000 Kajang, Selangor Darul Ehsan, Malaysia
  • Abdullah Sukardi Malaysian Institute of Road Safety Research, 43000 Kajang, Selangor Darul Ehsan, Malaysia
  • Wong Shaw Voon Malaysian Institute of Road Safety Research, 43000 Kajang, Selangor Darul Ehsan, Malaysia

DOI:

https://doi.org/10.15282/jmes.8.2015.21.0143

Keywords:

Driving simulator; driver distraction; response time; secondary task; road safety

Abstract

The Malaysian Institute of Road Safety Research has embarked on the development of a fixed-based driving simulator that can be reconfigured easily to suit various road safety research requirements. The objective of this study is to measure driver distraction in terms of participants’ response time for different road conditions and secondary tasks using a driving simulator. Three different simulation routes were designed in the study—expressway, off-ramp, and curved road. Thirty participants took part in the study. Two types of detection response task were used in the study—tactile and visual. Recall number, surrogate reference task, navigation, and texting were used as secondary tasks. The results showed that in terms of road segments, both types of detection response task were found to be sensitive; longer response times were observed for more demanding off-ramp and curved road sections when compared with expressway. Furthermore, for secondary tasks, the participants took longer to respond to both stimuli, particularly for the more difficult task followed by an easier task. In general, response times increased as a function of road segments as well as exposure to secondary tasks.

References

RMP. Statistical report of road accident in Malaysia. In: Police RM, editor. Kuala Lumpur: Traffic Branch, Bukit Aman; 2013.

Cameron M. World report on road traffic injury prevention. BMJ Publishing Group Ltd; 2004.

Chan M, Partouche D, Pasquier M. An intelligent driving system for automatically anticipating and negotiating road curves. IEEE International Conference on Intelligent Robots and Systems. 2007; 117-22.

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. Accident Analysis & Prevention. 2006;38:185-91.

McEvoy SP, Stevenson MR, Woodward M. The prevalence of, and factors associated with, serious crashes involving a distracting activity. Accident Analysis & Prevention. 2007;39:475-82.

Klauer SG, Dingus TA, Neale VL, Sudweeks JD, Ramsey DJ. The impact of driver inattention on near-crash/crash risk: An analysis using the 100-car naturalistic driving study data. US Department of Transportation: National Highway Traffic Safety Administration; 2006.

Young KL, Salmon PM. Examining the relationship between driver distraction and driving errors: A discussion of theory, studies and methods. Safety Science. 2012;50:165-74.

Salleh I, Md. Zain MZ, Raja Hamzah RI. Evaluation of annoyance and suitability of a back-up warning sound for electric vehicles. International Journal of Automotive and Mechanical Engineering. 2013;8:1267-77.

Kang HS, Jalil MKA, Musa M. Development of a virtual driving simulator for transportation research. 1st International Conference on Product Design and Development, Sabah, Malaysia; 2004.

Machmudi Isa IYA, Zainul Abidin MA, Mansor S. Objective driveability: Integration of vehicle behavior and subjective feeling into objective assessments. Journal of Mechanical Engineering and Sciences. 2014;6:782-92.

Salwani MS, Sahari BB, Ali A, Nuraini AA. The effect of automotive side member filling on car frontal impact performance. Journal of Mechanical Engineering and Sciences. 2014;6:873-80.

Nilsson L. Behavioral research in an advanced driving simulator-experience of the VTI system. Human Factors and Ergonomics Society 37th Annual Meeting; 1993: 612-6.

Road vehicles. Transport information and control systems - Detection-Response Task (DRT) for assessing attentional effects of cognitive load in driving. New Work Item: ISO/TC 22/SC 13/WG 08 (Draft International Standard; 2015.

Young K, Regan M, Hammer M. Driver distraction: a review of the literature. Victoria, Australia: Monash University Accident Research Centre; 2003.

Engström J, Larsson P, Larsson C. Comparison of static and driving simulator venues for the tactile detection response task. 7th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design; 2013: 1-7.

Merat N, Jamson AH. The effect of stimulus modality on signal detection: Implications for assessing the safety of in-vehicle technology. Human Factors: The Journal of the Human Factors and Ergonomics Society. 2008;50:145-58.

van Winsum W, Martens M, Herland L. The effects of speech versus tactile driver support messages on workload driver behaviour and user acceptance: TNO-Report, TM-99-C043: TNO Human Factors Research Institute; 1999.

Mehler B, Reimer B, Dusek J. MIT AgeLab delayed digit recall task (n-back). Cambridge, MA: Massachusetts Institute of Technology. 2011.

Mattes S, Föhl U, Schindhelm R. Empirical comparison of methods for off-line workload measurement. AIDE Deliverable. 2007;2.

Ranney TA. Driver distraction: A review of the current state-of-knowledge. U.S. Department of Transportation: National Highway Traffic Safety Administration; 2008.

Cheung D. Text messaging while driving: its effects on driving performance and text messaging behaviour. Master of Science (Human-Computer Interaction with Ergonomics), Faculty of Life Sciences, University College London; 2010.

Engström J, Åberg N, Johansson E, Hammarbäck J. Comparison between visual and tactile signal detection tasks applied to the safety assessment of in-vehicle information systems. Proceedings of the Third International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design: Citeseer; 2005: 232-9.

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Published

2015-06-30

How to Cite

[1]
Mohd Firdaus Mohd Siam, Mohd Hafzi Md Isa, Nurulhana Borhan, Abdullah Sukardi, and Wong Shaw Voon, “MEASUREMENT OF DRIVER DISTRACTION IN MALAYSIA’S TRAFFIC ENVIRONMENT: A DRIVING SIMULATOR STUDY”, J. Mech. Eng. Sci., vol. 8, pp. 1472–1480, Jun. 2015.

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