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为减少路网机动车尾气排放,建立了基于近似动态规划的相邻两交叉口信号协调控制算法.以捷达车作为试验车辆,在长春市长春大街进行实车实验,采集了完全停车以及匀速行驶2种状态下的机动车排放因子;以进口道排队长度、信号灯色作为系统状态的表达变量,以绿灯切换方案作为决策变量集,采用近似动态规划中的基函数方法,建立了规划时间窗内优化目标计算模型;并采用时域差分算法对基函数中的权重向量进行动态更新.在Matlab环境中验证了该算法的有效性,结果表明:所建立的算法较传统协调算法能够减少协调相位机动车排放8.2%.同时仿真验证了规划时间窗长度对协调算法控制效益的敏感性,发现最佳规划时间窗长度随着交通负荷的增加而增加.
In order to reduce the emission of motor vehicle exhaust in the road network, an algorithm for signal coordination control of two adjacent intersections based on approximate dynamic programming was established.According to the real vehicle experiment of Changchun Avenue in Changchun with Jetta as a test vehicle, Two kinds of states of the vehicle emission factors; the queue length of the entrance lane, the signal light as the system state expression variables, the green light switching scheme as a decision variable set, the approximate dynamic programming of the basis function method, the establishment of the planning time window The optimization model of the target is optimized, and the weight vector in the basis function is dynamically updated by using the time-domain difference algorithm.The validity of the algorithm is verified in the Matlab environment.The results show that the proposed algorithm can reduce the number of coordination phase machines The EMV emission is 8.2%. Simultaneously, the simulation verifies the sensitivity of the planning time window to the control efficiency of the coordinated algorithm and finds that the optimal planning time window length increases with the increase of traffic load.