Heavy vehicle multi-body dynamic simulations to estimate skidding distance

Authors

  • Mahdieh Zamzamzadeh Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia
  • Ahmad Abdullah Saifizul Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia
  • Rahizar Ramli Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia
  • Ming Foong Soong Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia

DOI:

https://doi.org/10.3846/bjrbe.2018.384

Keywords:

crash avoidance, emergency braking, road safety, road surface, skid mark, wet road, wheel lock-up

Abstract

The skid mark is valuable for accident reconstruction as it provides information about the drivers’ braking behaviour and the speed of heavy vehicles. However, despite its importance, there is currently no mathematical model available to estimate skidding distance (SD) as a function of vehicle characteristics and road conditions. This paper attempts to develop a non-linear regression model that is capable of reliably predicting the skidding distance of heavy vehicles under various road conditions and vehicle characteristics. To develop the regression model, huge data sets were derived from complex heavy vehicle multi-body dynamic simulation. An emergency braking simulation was conducted to examine the skidding distance of a heavy vehicle model subject to various Gross Vehicle Weight (GVW) and vehicle speeds, as well as the coefficient of friction of the road under wet and dry conditions. The results suggested that the skidding distance is significantly affected by Gross Vehicle Weight, speeds, and coefficient of friction of the road. The improved non-linear regression model provides a better prediction of the skidding distance than that of the conventional approach thus suitable to be employed as an alternative model for skidding distance of heavy vehicles in accident reconstruction.

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Published

27.03.2018

How to Cite

Zamzamzadeh, M., Saifizul, A. A., Ramli, R., & Soong, M. F. (2018). Heavy vehicle multi-body dynamic simulations to estimate skidding distance. The Baltic Journal of Road and Bridge Engineering, 13(1), 23-33. https://doi.org/10.3846/bjrbe.2018.384