蚁群算法在交通管理中的应用研究

Application Research of Ant Colony Algorithm in Traffic Management

近些年来,随着城市汽车数量的大幅增加,交通拥堵问题越来越严重,交通管理日益重要,但在交通拥挤问题、选择最优路径等方面仍然面临着很多亟待解决的问题。蚁群算法是一种解决最优路径的智能算法,基于蚁群算法提出了一种均衡路程长度和拥堵程度以解决交通问题的新方法,模拟实验结果表明,该方法具有良好的性能,在一定目标函数下,通过小幅增加车程分散汽车流,大幅度降低了拥堵程度。该法具有一定的现实意义。

City traffic congestion is becoming more and more serious with the increasing cars in recent years. Traffic management takes a very important part, but which still faces the difficulties such as traffic congestion and choice of the best path. Ant colony algorithm is an intelligent algorithm to solve the optimal path problem, and a new method is proposed based on ant colony algorithm to solve the traffic prob- lem in a balanced path length and congestion degree. Simulation experiment shows that the method has good performance. Under a certain objective function, the method greatly reduces the degree of congestion and disperses traffic flow through a little increase in ear distance. The method has certain practical significance.