动态聚类分析法在交通事故分析中的应用  

Application of Dynamic Clustering Analysis to Traffic Accident Analysis

作　　者：张聪[1] 任保宽[1] 张天宇[1] 党楠[1] 

机构地区：[1]长安大学,西安710064

出　　处：《安阳工学院学报》2013年第4期40-42,共3页Journal of Anyang Institute of Technology

摘　　要：采用动态聚类分析中的K均值算法,利用MABLAB软件的功能,分析交通事故状况,从而进行分类,为有关部门研究及改善我国交通安全事故现状提供了依据。通过实例,选取18个地区的事故起数、死亡人数、受伤人数、直接财产损失四项指标数据进行分析,将其分为3类,系统地反映出各类地区的高速公路交通事故状况,验证了该方法的可行性。K-means algorithm of the dynamic clustering analysis and the MABLAB software are used to analyze the traffic accident situation for the classification, then provides the basis for the related departments to study and improve situation of the traffic safety accident in China. Through the example, the accident frequency, number of death, number of injured and direct property losses four index data of the 18 regions are selected to carry on the analysis, 18 regions can be divided into three classes , the expressway traffic accident situation of all kinds of region are reflected systematically, and the feasibility of this method was verified.

关 键 词：动态聚类分析 K均值算法 交通事故 MATLAB 

分 类 号：U491[交通运输工程—交通运输规划与管理]