基于改进遗传算法的交通信号配时优化模型

摘要

针对当前交叉口信号配时方案相互孤立,未能有效达到区域交通控制最优化的问题,提出一种面向多交叉口信号控制方案的优化配时模型.文章分析了多交叉口交通流特征,利用元胞传输模型作为基础模型对多交叉口间受控的交通流进行模拟.根据多交叉口路网中影响交通量的被控参数特征,以及交通信号控制准确性、实时性等需求的分析,提出改进的遗传算法.结合DIS-CO交叉口数值模拟软件,对文中模型进行了数值模拟.数值模拟结果表明:文中模型能够通过配时调节适应交叉口间交通流的变化,道路车辆平均延迟时间较其他方案小,是一种实际配时控制器可采用的优化模型.%This paper proposed an optimized timing model for multi-intersection signal control,aiming at the problem of urban multi-intersection signal timing can't control regional traffic optimized.Using cell transmission model to simulate and analyze the multi-intersecting traffic flow.The Classical genetic algorithm had been improved,according to the characteristics of the controlled parameters,and analyzed the accuracy and real-time of the traffic signal control.The model was simulated combined with DISCO simulation software.The numerical simulation results show that the model can adjust the traffic flow by adjusting the timing,and the road vehicle density is smaller than other schemes,it is an optimization model that can be used in the actual time controller.