Chaos-particle Swarm Optimization Algorithm and Its Application to Urban Traffic Control

摘要

Urban traffic system is a complex system in a random way. A chaos-particle swarm optimization (C-PSO) algorithm was developed through introducing logistic map in particle swarm optimization (PSO) algorithm. Several particles in the swarm were chosen to go on chaotic searching in C-PSO which performance is steady, then the problem on getting in a local best point easily in PSO was solved. The algorithm was effectively used in dealing with the optimization of signal timing to urban area traffic, and the models for optimization were developed. The experimental results for a traffic networks consisting of nine intersections show that signal timing optimization to urban traffic based on C-PSO could respectively reduce 41.6% and 12.5% of the average delay per vehicle in area based on fix cycle algorithm and genetic algorithm. The C-PSO algorithm has a wider range of applications.