基于车路协同的单点信号控制优化方法和模型

Traffic Signal Control Method for Single Intersection Based on Cooperated Vehicle Infrastructure System

车路协同技术能全方位获取道路网络上车辆个体的运行状态信息,为交通信号控制提供了新的数据源。针对现有交通信号控制系统存在的不足,引入预测时间窗概念,提出了车路协同环境下单点信号控制优化的基本思路和流程;分析了交叉口区域单个车辆的运行状态,提出了单个车辆的延误和停车次数计算方法,在此基础上,以整个交叉口延误和停车次数最小为优化目标,建立了单点信号控制参数优化模型及求解算法。运用VISSIM软件进行了仿真实验,结果表明,文中方法优于常用的单点感应控制方法,在交通流量较低时平均停车次数减少约16.9%,在交通流量较大时平均延误和平均排队长度分别减少约29.4%和28.9%。

The space-time state of individual vehicle can be obtained by the cooperated vehicle infrastructure system,which provides a new data resource for traffic signal control.An optimization method for single intersection control was built up based on the cooperated vehicle infrastructure system.The calculation methods of individual vehicle＇s delay and stop rate were discussed after analyzing vehicle＇s status in intersection area,then an optimization model of signal control parameters was established,which aimed at minimizing delay and stops of single intersection.Simulation experiments were carried out using VISSIM,and the result indicates that the new method is better than the induced control method.The average number of stops decreased 16.9% at low traffic volume,while average delay and average queen length decreased 29.4% and 28.9% at high traffic volume.