改进的Apriori算法在交通事故分析中的应用

Application of Improved Aproiri Algorithm in Traffic Accident Analysis

针对当前交通管理工作中交通事故分析的特点与需求,为了有效地对事故发生时各方面因素关联分析,本文采用一种改进的基于Hash Tree的Apriori算法提取交通事故历史数据库中的关联规则,得到导致交通事故各因素的具体特征,发现多方面的深层规律。根据这些规律,交通管理者能制定有针对性的事故预防和管理措施。并对具体应用过程中数据准备过程、数据预处理方法进行了阐述,重点介绍了改进的Apriori算法的实现。

To effectively perform association analysis of various factors of traffic accident,this paper make use of an improved Aproiri algorithm to mine association rules in the database of traffic accident and find the detail features Deep-seated laws of factors leading to traffic accidents.According to these laws,traffic manager can develop targeted measures for accident prevention and management.And the process of data preparation,data preprocessing in specific applications are described,highlighting the improved Apriori algorithm.