基于遗传算法的交叉口信号配时多目标优化

Traffic Intersection Signal-planning Multi-object Optimization Based on Genetic Algorithm

为了提高城市交叉口通行能力和减少机动车尾气排放,提出了利用遗传算法实现多目标优化的方法,开发了基于遗传优化的城市交通微观仿真模型,并进行了仿真试验.仿真结果表明:这种多目标优化方法可以获得更好的交通信号控制效果和改善环境.

For improving the intersection traffic capacity and reducing the vehicle emission,the solution aiming at the multi-object optimization was presented by using genetic algorithm,and urban traffic microscopic simulation model combined with genetic algorithm was developed.The simulation was performed and the result indicated that the optimization method presented in this paper is effective to get better traffic signal control effects and to improve the environment.