会议专题

Cloud Theory Based Traffic State Identification for Urban Road Network

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.

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

Wang Bo Xu Liangjie Zhang Wenbin

School of Transportation Wuhan University of Technology, 430063 Wuhan city, Hubei, China

国际会议

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)

长沙

英文

946-949

2010-05-11(万方平台首次上网日期,不代表论文的发表时间)