Application of Dynamic Clustering Analysis to Traffic Accident Analysis
ZHANG Cong
REN Bao-kuan
ZHANG Tian-yu
DANG Nan
Abstract： 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.
Keywords：dynamic clustering analysisK-means algorithmtraffic accidentMATLAB
Publication Date：2013-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：3( 40-42 )