Time-allocation Optimization of Regional Traffic Computer Control Based on Distributed Algorithm

Timing problem is an important application of distributed algorithm, but it still has many shortcomings in practical engineering, such as traffic flow information cannot be effectively transmitted. The purpose of this paper is to solve the problem that the speed of road vehicles is too fast, the traffic capacity difference between motor vehicles and non-motor vehicles on the road is large, and the traffic network congestion is serious. Firstly, this paper analyzes the timing problem of the traditional method based on probability weighting to calculate the optimal strategy of the road section. Secondly, it analyzes and summarizes a hybrid heuristic method based on distributed algorithm to solve the shortest time model of urban main roads, and verifies its feasibility and effectiveness through simulation experiments. Finally, the simulation results show that based on the distributed algorithm, the regional traffic calculation and control timing is optimized. The traffic control timing is short, the delay time is low, the distributed algorithm has fast response time and high prediction accuracy, which indicates that the optimization result of the algorithm is good.