Fuzzy c-means clustering identification method of urban road traffic state

Urban road state identification refers to determining the operation status of the road network system, which plays an important role in urban road traffic management. By clustering time series of traffic flow, typical fluctuation pattern recognize algorithms of traffic flow can get the urban road network operation states. As the detected traffic data contain vague and uncertain information, preprocessing is needed. An improved fuzzy c-means clustering (FCM) method is proposed in this paper. A case study based on urban road section of Beijing City demonstrates the feasibility and effectiveness of the improved FCM algorithm.