智能城市2025，Vol.11Issue(10)：37-40,4.DOI:10.19301/j.cnki.zncs.2025.10.008
货运车辆驾驶员风险分类研究
Research on risk classification of freight vehicle drivers
翟小铃1
作者信息
- 1. 桂林电子科技大学建筑与交通工程学院,广西 桂林 541004
- 折叠
摘要
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.关键词
货运车辆/风险驾驶行为/驾驶员分类Key words
freight vehicles/risky driving behavior/driver classification分类
交通工程引用本文复制引用
翟小铃..货运车辆驾驶员风险分类研究[J].智能城市,2025,11(10):37-40,4.
