城市公路交通事故关联规则分析  

Analysis of Association Rules of Urban Road Traffic Accidents

作　　者：苏芳[1] 袁勤 SU Fang;YUAN Qin(School of International Education,WUT,Wuhan 430070,China;不详)

机构地区：[1]武汉理工大学国际教育学院,湖北武汉430070 [2]武汉理工大学中国应急管理研究中心,湖北武汉430070

出　　处：《武汉理工大学学报（信息与管理工程版）》2020年第4期313-318,331,共7页Journal of Wuhan University of Technology：Information & Management Engineering

基　　金：国家重点研发计划(2018YFC0807000).

摘　　要：为探索城市公路交通事故影响因素之间的联系,分析事故特征,结合从交通管理部门调研取得的4285条城市公路交通事故数据,提取星期、时段、道路状况、天气、碰撞类型、涉事车型作为客观因素,运用Apriori算法挖掘各因素与事故结果之间的关联规则路径。研究表明,城市公路交通事故客观因素与事故结果之间存在明显的方向性,有效地揭示了事故的重要致因。对事故因素进行关联规则挖掘,可以提高城市公路交通安全,减少事故发生量。In order to explore the relationship between the influencing factors of urban road traffic accidents and analyze the characteristics of the accident,combined with 4285 urban road traffic accident data obtained from the investigation of traffic management departments,this paper extracts the week,time period,road conditions,weather,collision type,and vehicle involved as objective factors,and further uses the Apriori algorithm to explore the path of the association rule between various factors and accident results.The results show that there is obvious directionality between the objective factors of urban road traffic accidents and the accident results,which effectively reveals the important causes of accidents.Mining association rules for accident factors can improve urban road traffic safety and reduce accidents.

关 键 词：交通安全 事故特征 关联规则 城市公路 APRIORI算法 

分 类 号：X951[环境科学与工程—安全科学]