Distributed regional traffic signal control model for high-density network

A distributed regional traffic signal control method for the high-density network is proposed according to the characteristics of the high-density network. The method adopts the distributed architecture to improve the effectiveness of system optimization and the stability of system operation, which is suitable for the high-density network where the distribution of intersections is dense and traffic flow varies frequently. The method takes travel time delay and average queue ratio as the optimal objectives to build the traffic signal optimal model based on cell transmission model, and employs the discrete particle swarm optimization algorithm and goal programming principles to optimize the traffic control parameters of the intersections. This method can improve the reaction speed for each intersection, timely optimize and assign space-time resource for the traffic flow in the network, and eliminate the gridlock caused by the too long queue that spreads to the upstream intersection.