【作者】 杨东霞； 巨永锋；

【Author】 YANG Dongxia,JU Yongfeng School of Electronic and Control Engineering,Chang’an University,Xi’an 710064,P.R.China

【机构】 长安大学电子与控制工程学院；

【摘要】 提出了一种考虑交通需求不确定性的基于元胞传输模型(CTM)的交通信号优化模型.模型通过遗传算法来进行优化求解.仿真结果表明,在多种交通状况(未饱和、过于拥挤和饱和的交通流)下,模型都能够有效地反映交通流的波动性对信号配时及车辆延误计算产生的影响,并实现了对路口交通信号的优化设置.更多还原

【Abstract】 This paper presents a traffic signal Settings optimization model based on cell transmission model(CTM),considering traffic demand uncertainty.To optimize the traffic signal Settings,the genetic algorithm was used.The simulation results show that the model can effectively reflect the impact of the fluctuation of traffic flow on the signal timing and vehicle delay calculation in a variety of traffic conditions(non-saturated,over-crowding and saturation of traffic flow),and realize the optimization of the intersection traffic signal settings.更多还原