综合环境因素及延误的信号配时优化仿真研究

Simulation Study on Traffic Signal Timing Optimization Integrating Environmental Factor and Delay

提出了综合考虑环境因素及延误的交叉口信号配时优化方法;选择遗传算法作为优化工具,建立了以减少机动车尾气排放及交叉口平均延误为总目标,以信号周期时长和各相位有效绿灯时间为优化参数的信号配时优化模型,并利用微观仿真模型VISSIM及MATALAB、Visual Basic 6.0编程语言,开发了相应的算法程序;最后针对实际案例进行了仿真分析,验证了方法的合理性和可行性。

An approach for signal timing optimization by an integrated consideration of traffic environment and intersection delay factors was proposed. A signal timing optimization model was established using the Genetic Algorithm （GA） as the optimization tool, in which the decrease of vehicle exhaust emission and mean delay at intersections was adopted as the overall objective, and the signal cycle time and phase green time as the optimized variables. The model was implemented by using microscopic traffic simulation model VISSIM, the programming language MATLAB and Visual Basic 6.0. Finally, the feasibility and validity of the proposed approach was examined by a case study from the real road network.