数据挖掘在道路交通事故分析中的应用

Application of Data Mining in Road Traffic Accident Analysis

近年来,随着社会的快速发展,我国交通路网建设区域不断扩大,汽车的购买量也在不断增加。在巨大的道路车辆吞吐量下,交通事故隐患成为无法忽视的问题。要解决交通安全问题,需要对交通事故本身的特点与成因进行深入研究。本文基于某保险公司提供的交通事故数据和Weka软件,首先对关联规则的相关概念进行了分析,通过Apriori算法分析所得数据,再对所得信息进行归纳整合,寻找出交通事故产生的内在规律,为交通部门提供决策参考。

With the rapid development of society and the continuous expansion of traffic network construction area,the purchase of cars is also increasing.Facing the huge road vehicle throughput,the hidden danger of traffic accidents has become a problem that can not be ignored.To solve the problem of traffic safety,we need to study and analyze the characteristics and causes of traffic accidents.In order to find out the inherent law of traffic accidents,this paper analyzes the related concepts of association rules by using Apriori Algorithm,and summarizes and integrates the obtained data information.Our results can provide reference for relevant decision-making of transportation department.