文章针对城市交通信号控制中的动态路径优化问题,综合考虑相邻交叉口间距和路段交通饱和度两个参数的影响,提出了一种基于蚁群算法和群决策理论的动态路径优化算法模型,并通过仿真实验,对比分析了该算法模型的有效性。
Aiming at dynamic path optimization problem in urban traffic signal control,the article proposes a model that combined group decision making the-ory and ant colony algorithm based on the influences of neighboring intersections distance and sections traffic 6saturation.Through the simulation test,the article also proves the effectiveness of this model.