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通过对信号交叉口和路段车辆能源消耗的研究,提出了城市路网能耗计算公式。将路网能源消耗以及最优交通信号设置问题结合起来研究,以路网能源消耗最小为目标,用双层规划方法综合优化信号配时方案,进而得到能源消耗最优平衡网络信号优化模型,以达到最大程度地降低路网交通能耗的目的。在此基础上,给出了描述上述问题的基于免疫选择的自适应繁殖的混沌粒子群求解算法。最后,结合路网各项指标对信号控制优化方法进行分析,通过算例应用证明了方法的有效性。
Based on the study of vehicle energy consumption at signalized intersections and road sections, the energy consumption formula of urban road network is proposed. In this paper, the road network energy consumption and the optimal traffic signal setting problem are studied. With the goal of minimizing the energy consumption of the road network, a dual-layer programming method is used to optimize the signal timing scheme, and the optimum energy consumption network signal optimization model is obtained To minimize the road traffic energy consumption purposes. On this basis, an adaptive propagation based chaos particle swarm optimization algorithm based on immune selection is given to describe the above problems. Finally, combining the road network indicators to analyze the signal control optimization method, the validity of the method is proved through the application of the example.