Based On Complex Network Of Research Of Regional Traffic Signal Control System

Urban traffic network is intertwined by numerous roads, and it is an extremely large and complex systems. How to improve the effectiveness of regional traffic signal control in such complex transportation network is one of the hot issues of today’s field of intelligent transportation. When Regional signal control system control the roads network, the network is always should be divided into a number of sub-district, and identify the key nodes of the each sub-district, then we could implement better coordination strategy to optimize the control efficiency.Urban traffic network has the obvious characteristics of the complex network structure, this paper systematically analyzes problems of determination of the key nodes and the division of regional in Region signal control system. On the basis of this problem, the complex network theory will be used to solve the node importance assessment and the division of regional in urban traffic control, and the conclusions were given in the simulation analysis. Paper work and innovation are as follows:1. For the urban road network, we can regard the intersection as node and the road between intersections as the edge between node through Primal Approach. Thus the study of complex transportation network had been transferred to the study of complex networks, and the topological properties of the transport network could be analyzed, then provide the theoretical basis for the analysis method based on complex network;2. Regional traffic control systems, such as SCOOT, choosing their key nodes excessively depend on human experience. In view of this situation, this paper consider the characteristics of transport network topology, the distance and the betweennesss, degree of the node are referred to the sections of factors, combined with the dynamic characteristics of the traffic flow, this paper use Fuzzy Clustering Method to assess the importance of the node scientifically;3. Based on the selected key nodes, In consideration of relative distance of the network nodes and the concept of modularity, this paper research the division of traffic control area in use of the Fast Newman algorithm. And make Wangjing as an example, combined with the actual traffic data to research it, finally give results of the key node assessment and the division of sub-control area.4、For the above conclusions, the VISSIM-SCOOT online simulation platform to be set up to give an simulation and verification. The actual controller, VISSIM and the SCOOT system are integrated in one to form the loop simulation environment (Hardware-in-loop) in this platform, the actual data of37junctions Wangjing are used in this simulation. The simulation results show that the proposed method can reduce the average travel time of the road network of7.3%, the total delay reduced by17.3%, the total number of stops decreased by15.9%. These theoretical studies and simulation results show that the findings of this article can be effectively applied to the optimization of traffic signal control system, and provide strong support for the optimization of regional signal control system in the control structure. On the basis of these, adaptive dynamic selection of key nodes and dynamic division could be studied. Combined with regional traffic intelligent control algorithm, research in this area will greatly improve control capability of adaptive coordination of the system, and then to make a better service for the urban roads control system.