针对干线绿波控制效果受次干道出入车辆和行人过街影响的实际问题,首先在分析上游次干道左转车辆对下游交叉口排队影响的基础上,将两相位排队消散模型改进为4相位排队消散模型,并依据该模型对传统相位差进行优化;然后分析行人过街对干线车流的影响,采用加权平均法计算车辆因行人过街干扰而产生的时间延误,并据此进一步对相位差进行优化.最后利用Vissim进行仿真验证,结果表明:改进的绿波控制优化方法和传统绿波控制方法相比,车均延误减少了20.5%,车均停车时间减少了17.6%,车均停车次数减少了8.7%,平均行程时间减少了3.5 s,对于干线绿波协调具有更好的控制效果.%Control effects of arterial green wave are affected by vehicles in and out of sub-arterial roads and pedestri-ans.A two-phase queuing and dissipation model is updated into a four-phase model based on the analysis results regarding the impact of left-turning vehicles from upstream sub-arterial roads on the downstream intersection.Traditional offset is then optimized based on this model,traffic delay caused by pedestrians is then computed on the basis of influences of pe-destrians on arterial traffic by using a weighted average method.This paper optimizes the traditional offset as well.Vissim software is used to verify the model.Compared with the traditional control of green wave,the results show that the im-proved control method can reduce average delay by 20.5% and average stopping time reduces by 17.6%,average parking frequency reduces by 8.7% and average travel time reduces by 3.5 s.Therefore this optimized method could improve the performance of green wave.
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