CAJ | 학술논문

　　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。
　　채용동태취류분석중적K균치산법，이용MABLAB연건적공능，분석교통사고상황，종이진행분류，위유관부문연구급개선아국교통안전사고현상제공료의거。통과실례，선취18개지구적사고기수、사망인수、수상인수、직접재산손실사항지표수거진행분석，장기분위3류，계통지반영출각류지구적고속공로교통사고상황，험증료해방법적가행성。
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.