A coordination feedback adaptive control method of traffic network

With the development of information technology and the coming of the internet of things, traffic signal control has brought new opportunities and challenges. This paper presents a method of traffic network signal control, which used to optimize traffic signal timing, reduce the delay of vehicles within the network. The method is divided into two levels: intersection control level and network control level. Intersection control level uses a dynamic programming based adaptive algorithm. Network control level uses an optimization algorithm based on conflict decision tree, using the A* algorithm, rolling optimization and feedback control strategies to enhance the real-time, reliability and robustness of the algorithm. The effectiveness of the system has evaluated through an actual traffics network simulation conducted with VISSIM. Results show that the proposed method is significantly better than the time-of-day method in travel time, average delay and other parameters.