Highway traffic risk analysis based on EWM-FCE model
GUO Yitian
ZHANG Mengmeng
PAN Jingyi
Abstract：In order to accurately evaluate the risk of highway driving,considering micro driving behavior and macro traffic environment,speed dispersion,acceleration change rate,collision time proportion,space occupancy rate,and proportion of medium and large vehicles are selected as evaluation indicators of driving risk.The EWM-FCE model based on entropy weighting method(EWM)and fuzzy comprehensive evaluation(FCE)is proposed.The combined membership function of the model is calibrated through questionnaire survey data,taking a certain highway section in Shandong Province as an example,to evaluate the driving risk of this section,and the evaluation results are compared with the traditional triangular membership function and trapezoidal membership function to verify the accuracy of the EWM-FCE model.The results show that the driving risk level of this highway section is ultra-low risk;the EWM-FCE model using the combined membership function improves the accuracy of the evaluation results by 7.5％and 7.6％,respectively,compared with the triangular and trapezoidal membership functions.
Keywords：driving risk analysisFCEevaluation indicator systemcombined membership functionEWM
Publication Date：2025-03-30
Online Publishing Date：2026-05-22(First online date of this platform, not the publication date of the document)
Pages：8( 26-33 )