基于关联规则挖掘技术的高速公路交通事故预警方法研究

Study on Early-warning Algorithm of Freeway Traffic Accident Based on Associative Data Mining

利用数据挖掘在潜在信息提取等方面的优势,运用关联规则挖掘方法对高速公路交通事故数据进行了研究,以发现交通事故数据中存在的关系和规则,从而为高速公路交通事故预警提供数据支撑。结果显示利用关联规则挖掘方法所发现的规则与实际情况相符,可以较好的应用于高速公路交通事故预警管理系统。

On the basis of brief introduction of data mining,association rules,the algorithm of traffic accidents early-warning,this paper analyzes the freeway traffic accident data by associative data mining,in order to find the relationship and rules that exist in the data of accident and offer necessary data support for the traffic accident early-warning.The results shows that the rules found by associative data mining fit well with the actual situation,and the method of associative data mining can be well used in the early-warning management of freeway traffic accidents.