Research on a Comprehensive Evaluation System for Driving Behavior by Introducing Fuzzy Evaluation Based on Natural Driving Data
Zhao Ruiwen, Yang Jingli*, Ma Chao, Zhang Yanan and Wang Haijun
China Automotive Technology & Research Center Co. Ltd, Tianjin, China
*Corresponding Author: Yang Jingli, China Automotive Technology & Research Center Co. Ltd, No. 68 Xianfeng Road, Dongli District, Tianjin, China.
Published: June 09, 2023
DOI: 10.55162/MCET.05.146
Abstract
Scientific evaluation of driving behavior can provide feasible suggestions for improving driver operating habits, improving driving safety, and reducing energy consumption. It is also of great significance for the development of autonomous driving functions. The existing evaluation methods for driving behavior have shortcomings such as subjectivity and randomness, and neglect the ambiguity of human judgment. This article proposes an overall evaluation system based on the extension analytic hierarchy process based on real driving data collected from real vehicles. Grey clustering and fuzzy comprehensive evaluation are introduced to evaluate the driving behavior of drivers from four key indicator dimensions, effectively improving the accuracy and scientificity of driving behavior evaluation.
Keywords: Driving behavior evaluation; Natural driving data; Fuzzy evaluation
.