交通信息与安全2025，Vol.43Issue(5)：44-56,13.DOI:10.3963/j.jssn.1674-4861.2025.05.005
山岭重丘区货车交通事故诱因识别与因素关联挖掘方法
dentification of Causes and Factor Correlation Mining Methods for Truck Traffic Accidents in Mountainous Areas
摘要
Abstract
In response to the difficulties in identifying the causes of truck traffic accidents and the unclear influence of factors,a method for identifying the causes of truck traffic accidents and mining the relationships between factors in mountainous and hilly areas is studied.Data from 1,839 truck accidents on a freight expressway in a mountainous and hilly area of Guangdong Province are collected.Through mathematical statistical methods,the spatiotemporal distribution of truck traffic accidents in mountainous and hilly areas is analyzed.Employing an improved Apriori al-gorithm,the study mined association rules to uncover factors influencing truck traffic accidents,resulting in 571 rules across comprehensive,self-correlated,specific dimensions(time,road elements),and accident dimensions.The model evaluation results indicate that the accuracy of the improved Apriori algorithm is 86.4%higher than that of the traditional Apriori algorithm.The results of association rule mining reveal:Clear weather conditions and lon-gitudinal slopes less than 2%are significantly associated with minor accidents(lifted confidence>1.0),indicating that minor accidents primarily occur under these road conditions;Improper operation and insufficient safe distance are strongly associated with rollover and rear-end accidents(lifted confidence>1.8),suggesting that these accidents are predominantly caused by these factors;Slopes between-2%to-3%and radii greater than 1 000 m are signifi-cantly associated with major accidents(lifted confidence>1.6),indicating that major and severe truck accidents mainly occur on downhill sections with these slope and radius characteristics;Accidents causing injuries are signifi-cantly associated with the hours between 01:00 to 03:00 am(lifted confidence>1.3),highlighting a concentration of injury accidents during the early morning hours.The research results have revealed the causes of truck traffic acci-dents in mountainous and hilly areas and discovered the correlations among the elements of truck traffic accidents.关键词
交通安全/货车交通事故/关联挖掘方法/Apriori算法/山岭重丘区Key words
traffic safety/tuck accidents/association mining method/Apriori algorithm/mountainous Areas分类
交通工程引用本文复制引用
单东辉,刘贤勇,刘建蓓,杜豫川,屈秦洲..山岭重丘区货车交通事故诱因识别与因素关联挖掘方法[J].交通信息与安全,2025,43(5):44-56,13.基金项目
国家重点研发计划项目(2022YFC3002600)、陕西省重点研发计划项目(2024GX-ZDCYL-02-14)资助 （2022YFC3002600）
