The research on the method of traffic area dynamic division and optimization

Abstract

Based on the Temporal and spatial variation characteristics of traffic flow, this paper puts forward the traffic area dynamic division method and how to realize the merger and separation of nodes in the control area, as well as inter-regional automatic combination and split. First, according to the traffic relevance and traffic similarity between adjacent intersections in the traffic area, the application of clustering analysis method, the traffic area is divided into some dynamic control zones. Then, application node shrinkage method is to determine the key nodes of the control zone, and relying on the fuzzy cognitive map is to analyze the direct and indirect influence of the key nodes and the other nodes in the control zone. Finally, according to the traffic flow state changes forms: basic remains the same, crowded diffusion and crowded subsided, respectively, is corresponding to the dynamic changes of the control zones: remains unchanged, expansion combination and shrinkage decomposition, in order to achieve the merger and separation of the nodes in the control zone, as well as inter-regional automatic combination and split. © 2013 Springer-Verlag.