Traffic Signal Timing Optimization for Isolated Intersections Based on Differential Evolution Bacteria Foraging Algorithm

摘要

Aiming at that the traffic congestion in urban often appears, the signal timing optimization model and method are researched. The signal control model is proposed considering the max throughput of intersection. The objective function of this model is to minimize the delay vehicles of a cycle time. The model has all kinds of constraint. A differential evolution bacteria foraging optimization algorithm is presented. The velocity of the traditional bacteria foraging optimization algorithm is slow. The bacterium position is revised by differential evolution in chemotaxis process to improve the convergence precision. Based on an intersection in Guangzhou City, the model is calculated and simulated through programming. As it shows, it can improve traffic capacity of intersections and especially works well in high demand.