Optimal control for region of the city traffic signal based on APSOWM

Intelligent transportation system of the urban is the basis of modern urban development. In order to improve traffic efficiency of urban transport and ease traffic pressure. First, taking the average vehicle run time of traffic road net is the shortest as target, it established the model of regional traffic of urban through the analysis for urban road network to control of coordination traffic flow. Second, it got the coordinated timing plan of traffic signal of each of intersections in area through the particle swarm optimization algorithm modified by the strategy of adaptive inertia weight with a variation. Last, compared with the basic PSO algorithm and traditional way of timing control, the results of the analysis according to optimal simulation shows that proposed method in that increase about 22.6 percent and 24.1 percent for the average running time of all vehicle of region, and reduce about 17.2 percent and 30.1 percent for the average delay time of all intersection through a typical road network by established and the use of MATLAB software and VISSIM5.20 software validated that established and improved traffic models and algorithms. In a certain extent, it improves the efficiency and applicability of regional transit passage.