城市道路两相邻交叉口信号控制组合优化研究

以两个单点信号控制交叉口组成的简单绿波系统为例,建立一个以干线车辆行程时间最短为目标,各相位有效绿灯时间、饱和度及周期时长为约束条件的非线性函数模型,分别运用遗传算法和遗传退火算法对目标函数进行优化,实现了对绿波系统各交叉口信号配时的优化设计,并以实例加以论证,其优化效果良好。结果表明:遗传退火算法更能快速、准确地寻找出全局最优解。

Combination optimum on signal timing of the urban two neighboring intersection

It introduces a simple green wave system composed by two-simple-point signal control intersections as an example, and makes a non-liner function model, in which the shortest vehicle travel time of main stem is adopted as the objective; the phase effective green light time, saturation and cycle time as the restrictions. The genetic algorithm and genetic annealing algorithm are used to optimize the objective function, thus realizing the optimization design to the intersection signal timing of the green wave system. The model and algorithm are proved by an actual example, and a good optimized effect can be gotten. The results show that the genetic annealing algorithm can find the best value faster and more accurate than the genetic algorithm.