混沌蚁群算法及其在相位差优化中应用

城市交通主干道及网路上的交通信号通常以协调的方式运作,而相位差是主要的协调参数。然而相位差的优化中经常存在局部最优和收敛速度慢的问题,为解决相位差优化的问题,本文建立了混沌蚁群算法,然后利用该算法来优化相位差。一个9交叉口的仿真实验结果表明,明显地改进了优化效果,有效地减少了交通网络的车辆平均延误和平均停车率,提高了收敛速度。

CHAOS ANT ALGORITHM AND USED IN OFFSET OPTIMIZATION

Traffic signals on urban arterials and in grid networks operate in coordinated systems, and offset is the main optimizing parameter. However, it always exist local optimization and lower convergence in optimizing offset. To deal with the optimizing offsets, this thesis firstly constructs optimization model of chaos ant, and use it to search the optimal offset. A nine crossing emulate experimentation indicates that it ameliorates optimizing obviously, reduces delays and stops of vehicles, and improves the speed of convergence.