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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%。
Vehicle-road coordination technology can obtain all-round information of the running status of vehicles on the road network, providing a new data source for traffic signal control. Aiming at the shortcomings of existing traffic signal control system, this paper introduces the concept of predictive time window and puts forward the basic idea and process of single-point signal control optimization under vehicle-road coordination environment. It analyzes the running status of a single vehicle in the intersection area and proposes a single vehicle Delay and stop times. On the basis of this, an optimization model of single-point signal control parameters and an algorithm for solving the problem are established, taking the delay of the whole intersection and the minimum number of stops as optimization objectives. VISSIM software was used to simulate the experiment. The results show that the proposed method is superior to the commonly used single-point induction control method in that the average number of stops decreases by about 16.9% when the traffic flow is low and the average delay and the average queue length when the traffic flow is large A decrease of about 29.4% and 28.9%.