Title :
Cloud Theory Based Traffic State Identification for Urban Road Network
Author :
Bo, Wang ; Liangjie, Xu ; Wenbin, Zhang
Author_Institution :
Sch. of Transp., Wuhan Univ. of Technol., Wuhan, China
Abstract :
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.
Keywords :
decision making; fuzzy set theory; road traffic; state estimation; traffic engineering computing; Wuchang Railway Station; analytic hierarchy model; cloud theory; fuzzy method; judgment matrix; traffic congestion; traffic state coefficient; traffic state identification; urban road network; Automation; Cities and towns; Cloud computing; Computer networks; Electronic mail; Intelligent networks; Road transportation; Telecommunication traffic; Traffic control; Uncertainty; Analytic Hierarchy Model; Cloud Theory; Judgment Matrix; Traffic State; Urban Road Network;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
DOI :
10.1109/ICICTA.2010.179
