Research on the Traffic Situation Identification Method of the Urban Periphery Road Network
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.
urban freeway expressway FCM wavelet analysis
Jinjin CAO Yuanhua JIA Zhiqiang SHU
School of Traffic and Transportation Beijing Jiaotong University Beijing, P.R.China Traffic Monitoring Center Huabei Expressway Co., LTD Beijing, P.R.China
国际会议
长沙
英文
2646-2649
2009-10-10（万方平台首次上网日期，不代表论文的发表时间）