Research on the Traffic Situation Identification Method of the Urban Periphery Road Network

Abstract

Recognition of traffic situation in the urban periphery road network is a very important fundamental problem and a valuable source of information for traffic flow macro control and management especially with the urban scale expansion and traffic volume increasing rapidly nowadays. At present, researches on traffic flow situation identification are mainly focus on intercity expressway traffic, lack of the research work on urban freeway which is significantly different from urban freeway, and also rare of the comparison and comprehensive traffic flow situation identification method of these two different function types road. In this paper, Fuzzy C Means clustering algorithm and wavelet analysis was adopted for classification of urban expressway and ring freeway respectively. Then the unified situation identification method is given for the urban periphery road network.