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研究了城市交通信号的控制与优化问题,以整个网络延误、油耗以及路网机动车尾气排放量为优化目标,推导了基于元胞传输模型的网络延误、油耗以及路网机动车尾气排放量计算公式,建立了一种基于元胞传输模型的城市交通信号控制的多目标优化方法,并利用多目标遗传算法进行了优化求解。仿真结果表明:应用此方法在轻度、中度、重度交通流状况下形成了绿波带,可以实现对交通信号的协调控制,同时实现了对路口交通信号的优化设置。
The problem of control and optimization of urban traffic signal is studied. Taking the whole network delay, fuel consumption and exhaust emissions of road network as optimization objectives, the network delay, fuel consumption and road network exhaust emissions are deduced based on the cellular transport model Formula, a multi-objective optimization method of urban traffic signal control based on cellular transmission model is established and optimized by using multi-objective genetic algorithm. The simulation results show that this method can be used to control the traffic signals and realize the optimal setting of the traffic signals at the intersections, with the formation of a green band under mild, moderate and severe traffic conditions.