城市主干线协调控制优化研究

Study on Coordinated Control Optimization of Urban MainTrunk

近年来城市化进程加速,城市发展日新月异,相应如交通拥堵、尾气排放、交通事故、噪声污染等矛盾愈加凸显。这种现象随着经济社会的发展,逐步从一线、二线城市向三、四线城市延伸,在许多大城市中道路拥堵现象也明显加重。文章在分析影响干道协调控制效率的关键参数即周期、相位差、绿信比的基础上,分析减少行车延误的相位差优化方法,并构建相位差优化模型^([1]),该模型以车辆通过干道协调交叉口时上行和下行的平均延误总和最小为目标函数,以相位差阈值等因素为约束条件^([2]),重点分析了遗传算法在干线协调控制中的实际应用,对算法流程做了说明,并以济南经七路为例对模型进行实例分析,结果表明:优化模型可以有效降低行车延误与车辆的排队长度。

In recent years,the process of urbanization accelerates,and urban development has changed with each passing day. The corresponding contradictions have become increasingly prominent. Urban traffic congestion,exhaust emissions,traffic accidents,noise pollution and other issues become more serious. This phenomenon with the economic and social development,and gradually from the first-line,second-tier cities to three or four cities extension,in many large cities in the road congestion phenomenon is also significantly increased. Based on the analysis of the key parameters,such as period,phase difference and green signal ratio,which affect the control efficiency of the main road,the phase difference optimization method of reducing the delay is analyzed and the phase difference optimization model is built. The minimum sum of the average delay of the uplink and the downlink is the objective function,the phase difference threshold and other factors are the constraints in this model. This paper focuses on the application of genetic algorithm in the trunk coordination control,describes the algorithm flow,and takes Jing Seven Road in Jinan as an example to analyze. And the experimental results show that the optimization model can effectively reduce the traffic delay and the queue length of vehicles.