Cloud Theory Based Traffic State Identification for Urban Road Network

摘要：

In order to represent the fuzzy attribute of traffic state, this paper first analyzed the characteristics and spread mechanism of traffic congestion on urban road network. Then a traffic state coefficient was introduced to measure the congestion level on road sections. On the basis of cloud theory, a fuzzy method of traffic state identification was proposed. By constructing judgment matrix, an analytic hierarchy model was established for road network. Finally, the model was applied in the case of traffic state identification for road network around Wuchang Railway Station. Researches indicated that the identification result conformed to actual situation.

关键词： Urban Road Network Traffic State Cloud Theory Judgment Matrix Analytic Hierarchy Model

作者: Wang Bo Xu Liangjie Zhang Wenbin

作者单位: School of Transportation Wuhan University of Technology, 430063 Wuhan city, Hubei, China

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 946-949

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）