Safety and energy-saving driving behaviour evaluation with driving feature constraint TOPSIS method
by Xinlei Wei; Yingji Liu; Wei Zhou; Haiying Xia; Xuan Dong; Guoliang Dong
International Journal of Computing Science and Mathematics (IJCSM), Vol. 16, No. 1, 2022

Abstract: There are many factors including driving behaviours, roads, weather to affect the safety and energy-saving of the vehicle and these driving behaviours have different features which impact the safety and energy-saving. To improve the performance of safety and energy-saving evaluations, in this paper, the safety and energy-saving driving behaviour evaluation with driving features constraint technique for order preference by similarity to ideal solution (TOPSIS) method is proposed based on the global position system (GPS) data. The proposed method takes into account the characteristics of the bad driving behaviours indices based on the GPS data and improves the TOPSIS evaluation method by using the index extremum constraint on the evaluation process. To verify the proposed method, the experiments are implemented on the GPS trajectory data of real vehicles. The experimental results show that the proposed method improves the objectivity and accuracy of the evaluation, which is in accordance with the actual case.

Online publication date: Mon, 07-Nov-2022

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