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基于模糊聚类方法的ITS需求分析
引用本文:许焱,刘小明,杨孝宽,荣建. 基于模糊聚类方法的ITS需求分析[J]. 武汉理工大学学报(交通科学与工程版), 2006, 30(5): 853-855
作者姓名:许焱  刘小明  杨孝宽  荣建
作者单位:北京工业大学交通研究中心,北京,100022
摘    要:ITS需求分析是ITS规划的基本步骤之一.文中将模糊聚类方法应用于ITS需求分析,并且利用VBA语言编制了相应的计算程序.根据北京奥运交通规划课题组的专家调查数据,对奥运ITS的部分需求进行了分析,采用三种方式得到的初步分析结果具有较高一致性,最终分析结果有效地反映了研究对象的特征及其相互关系,验证了模糊聚类方法在ITS需求分析方面的实用价值.

关 键 词:智能交通系统  需求分析  模糊聚类分析  奥运
收稿时间:2006-03-11
修稿时间:2006-03-11

ITS Demand Analysis Based on Fuzzy Cluster Method
Xu Yan,Liu Xiaoming,Yang Xiaokuan,Rong Jian. ITS Demand Analysis Based on Fuzzy Cluster Method[J]. journal of wuhan university of technology(transportation science&engineering), 2006, 30(5): 853-855
Authors:Xu Yan  Liu Xiaoming  Yang Xiaokuan  Rong Jian
Affiliation:Transportation Research Center, Beijin g University of Technology ,Beijin g 100022
Abstract:ITS demand analysis is one of the fundamental steps of ITS plan. The application of fuzzy cluster analysis in analyzing ITS demand is studied for the first time, and the corresponding program is compiled by VBA program. Some ITS demands during the Beijing Olympic Games are analyzed based on data that have been gathered by expert survey in the process of the Beijing Olympic Transportation Plan. Three elementary results during the analyzing process have highly consistency, and the ultimate result reflects the characteristic and relation of those ITS demands. Therefore, the practicability of Fuzzy cluster analysis is demonstrated.
Keywords:intelligent transportation systems  demand analysis    fuzzy cluster analysis   Olympic Games
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