基于FP-growth算法的交通事故数据关联规则挖掘研究

Research on Association Rule Mining of Traffic Accident Data Based on FP-growth Algorithm

为了探寻多种事故影响因素共同作用下诱发交通事故的某种规律以及各因素间的关系,本文采用FP-growth算法对收集到的交通事故数据进行分析研究,挖掘其中的潜在价值信息,找出事故发生的原因,根据分析结果给相关部门提出建议,帮助城市交通管理者制定更有效的管理措施,以达到降低交通事故发生频率的目的。

In order to explore a certain pattern of traffic accidents induced by the joint action of multiple accident influencing factors and the relationship between the factors,this paper adopts the FP-growth algorithm to analyze the collected traffic accident data,to explore the potential value of the information,to find out the causes of the accidents,and to give suggestions to the relevant departments according to the analysis results,to help the urban traffic managers to formulate more effective management measures,in order to achieve the purpose of reducing the frequency of traffic accidents.