Research on risk classification of freight vehicle drivers
ZHAI Xiaoling
Abstract：To meet the dynamic monitoring and precise control needs of risk driving behavior of freight vehicle drivers,this article constructs a driver risk assessment system from three dimensions:distracted driving behavior,collision prone driving behavior,and reckless driving behavior,comprising a total of nine indicators.Determine the weights of various indicators through the CRITIC algorithm and quantitatively score the driver's risky driving behavior using the Technique for Order of Preference by Similarity to Ideal Solution(TOPSIS)method.Based on the rating results,a driver risk classification model is constructed using K-means clustering algorithm.The results indicate that drivers can be divided into three categories:relatively stable type,high-risk reckless heart type,and high-risk collision prone type.This study provides a reference for risk management of freight vehicle drivers.
Keywords：freight vehiclesrisky driving behaviordriver classification
Publication Date：2025-10-25
Pages：4( 37-40 )