Dynamic Partitioning Methods for Control Sub-area Based on Fuzzy Clustering Analysis

摘要：

　　Area coordination control is an important measure to ease urban traffic.Sub-area partitioning is a basis of area coordination control and the partitioning accuracy affects the global control efficiency.Traditional sub-area partitioning is based on qualitative principles related to period,flow,distance,and so on,without establishing a system of sub-area partitioning indexes and without considering quantitative partitioning methods and so the sub-area partitioning is subjective and optional.In this paper,a system of sub-area partitioning indexes is established considering indexes such as distance,period,continuity of traffic flow and dispersion.The sub-area is divided by two stages: one is to preliminarily select intersection of sub-area excluding those of big period difference and long distance; the other is to describe intersections traffic state and physical relationship and to cluster intersections based on fuzzy clustering analysis.Compared to traditional partitioning method of sub-area,the method presented in the paper can bring less system delay that proves the method is effective.

关键词： Traffic engineering Control sub-area Dynamic partitioning Means clustering analysis

作者: Zhengwu Wang Kangkang Tan Ping Zhang

作者单位: Changsha University of Science and Technology,Changsha,Hunan Province,China Hunan Province,Zhuzhou,China

会议类型: 国际会议

会议名称: The 2015 Chinese Intelligent Automation Conference(2015中国智能自动化会议)

会议地点: 福州

会议语种:英文

页码: 277-286

在线出版日期: 2015-05-08（万方平台首次上网日期，不代表论文的发表时间）