Evaluation Method of Naturalistic Driving Behaviour for Shared-Electrical Car
Shaobo Ji,
Ke Zhang,
Guohong Tian,
Zeting Yu,
Xin Lan,
Shibin Su and
Yong Cheng
Additional contact information
Shaobo Ji: College of Energy and Power Engineering, Shandong University, Jinan 250061, China
Ke Zhang: College of Energy and Power Engineering, Shandong University, Jinan 250061, China
Guohong Tian: Department of Mechanical Engineering Sciences, University of Surrey, Guildford GU2 7XH, UK
Zeting Yu: College of Energy and Power Engineering, Shandong University, Jinan 250061, China
Xin Lan: College of Energy and Power Engineering, Shandong University, Jinan 250061, China
Shibin Su: Research Management Department, Hisense TransTech Co., Ltd., Qingdao 266071, China
Yong Cheng: College of Energy and Power Engineering, Shandong University, Jinan 250061, China
Energies, 2022, vol. 15, issue 13, 1-23
Abstract:
Evaluation of driving behaviour is helpful for policy development, and for designing infrastructure and an intelligent safety system for a car. This study focused on a quantitative evaluation method of driving behaviour based on the shared-electrical car. The data were obtained from the OBD interface via CAN bus and transferred to a server by 4G network. Eleven types of NDS data were selected as the indexes for driving behaviour evaluation. Kullback–Leibler divergence was calculated to confirm the minimum data quantity and ensure the effectiveness of the analysis. The distribution of the main driving behaviour parameters was compared and the change trend of the parameters was analysed in conjunction with car speed to identify the threshold for recognition of aberrant driving behaviour. The weights of indexes were confirmed by combining the analytic hierarchy process and entropy weight method. The scoring rule was confirmed according to the distribution of the indexes. A score-based evaluation method was proposed and verified by the driving behaviour data collected from randomly chosen drivers.
Keywords: driving behaviour evaluation; naturalistic driving study; shared-electrical car; Kullback–Leibler divergence; analytic hierarchy process; entropy weight method (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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