十字路口交通信号灯与车队轨迹协同优化

Collaborative optimization of traffic signal lights and vehicle fleet trajectory at intersection

针对十字路口交通环境中,大量车辆由于红灯造成延误和非必要燃油消耗的问题,提出了一种交通信号和车队轨迹协同优化策略,建立了两层优化模型优化信号配时和车队轨迹。其中,上层基于动态规划方法,以总体车辆延误值最小为目标,优化信号配时和周期;下层基于最优控制理论,以燃油经济性为目标,优化车队中头车轨迹并划分队列。最后搭建Vissim/Matlab联合仿真验证所设计策略,结果表明,3种车流输入下延误值分别优化下降32.8%、48.8%和44.2%,燃油消耗分别下降20.2%、21.9%和24.1%,验证了协同优化策略的有效性。

Aiming at the problem of delay and unnecessary fuel consumption of massive vehicles caused by red lights at intersection.In this dissertation,a collaborative optimization strategy of traffic signal and fleet trajectory is proposed,and a two-level optimization model is established to optimize signal phase and fleet trajectory.Among them,the upper layer based on the dynamic programming method optimizes the signal phase and cycle with the goal of minimum vehicle delay,and the lower layer based on the optimal control theory optimizes the leading vehicle trajectory and divides the vehicle platoon with the goal of fuel economy.Finally,the Vissim/Matlab co-simulation is set up to verify the designed strategy.The result shows that the delay value is decreased by 32.8%,48.8%and 44.2%respectively,and the fuel consumption is decreased by 20.2%,21.9%and 24.1%respectively under three traffic flow input,which verifies the effectiveness of the collaborative optimization strategy.