Coordinated control of traffic flow in complex-arterial networks under the big data background

Under the big data background, the massive traffic data provide the data to improve traffic control methods and put forward higher requirements for the accuracy of the traffic signal control. In this paper, we analysis the influence on green wave tape by queue length of vehicles through congestion data and sensor data on road, draw a queue dissipated model and import it into MAXBAND model. Then present a complex-arterial network mathematical programming model based on the improved MAXBAND model. The complex-arterial networks mathematical programming model can make all the intersectant arterials in the network under green wave tape control. Simulate in vissim simulation software with different vehicle flow data. The simulation results indicate that this method can produce considerable gains in performance when compared with traditional progression methods and traditional MAXBAND methods.