Regional Traffic Timing Plan Optimization Based on Improved Particle Swarm Algorithm

Abstract

The modern traffic control timing plan aims at raising transportation efficiency of vehicles by making full use of existing road resources. So we built a region traffic control model; its performance of model is measured by minimum average travel time of vehicles, its average delay model for single crossroad is derived from the revised HCM2000; and then it is transformed into objective function of optimization. To enhance the global and local searching ability, the improved exponential inertia weight factor is taken for the particle swarm algorithm. So basing MATLAB simulation tool, we calculated timing plan on under-saturation traffic flow condition and saturation traffic flow condition by the classic particles swarm optimization algorithm and improved particle swarm algorithm respectively. The simulation results show that the improved particle swarm algorithm can effectively avoid that the particles fall into local optimal solution; at the same time, the improved algorithm can reasonably distribute green signal time for every phase, the timing plan can effectively shorten average vehicle delay time and improve the transportation efficiency of road.