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。
The computational formula of road network energy consumption was put forward on the basis ot stuclylng the vehicle energy consumption of intersections and roads. Combining the road network energy consumption with optimal traffic signal setting issue, signal timing problems were optimized to minimize the total energy consumption of the road network by establishing a hi-level programming model. A solution algorithm, in view of the adaptive breeding chaotic swarm optimization algorithm which is based on immune selection (ICPSO), was proposed to solve this problem. Combining with the various indicators, signal control optimization was analyzed, and the effectiveness of the method was illustrated through a numerical example.