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为提高城市干道协调控制的稳定性和效益费用比,将其与多时段控制有机结合,形成符合我国国情的高效控制策略,首先基于干道交叉口关联度模型确定了协调控制的边界范围,进而对需要进行协调的各交叉口历史交通流量进行了混合聚类分析,得到了相应的多时段控制方案。在此基础上,以干道带宽最大和沿线交叉口车均延误最小为目标,建立了干道多时段协调控制的优化模型,并采用多目标粒子群算法对其进行求解,确定了干道协调控制下各交叉口多时段控制方案的最佳切换时刻。仿真结果表明:本研究的控制模型与现状控制方案、交叉口混合聚类模型相比,沿线交叉口车均延误分别降低12.63%和2.45%,干道多时段的总方案带宽分别增加0.98%和23.51%,且方案切换对交通流造成的扰动的可能性降到了最小。
In order to improve the stability and benefit cost ratio of coordinated control of urban arterial roads, combine it with multi-period control to form an efficient control strategy in line with China’s national conditions. First, the boundary of coordinated control is determined based on the correlation model of urban arterial intersections, It is necessary to coordinate the historical traffic flow at each intersection to carry out the hybrid cluster analysis and get the corresponding multi-period control scheme. On the basis of this, aiming at the problem that the maximum trunk roadway bandwidth and the minimum vehicle delay at the intersection are established, an optimization model of multi-period coordinated control of arterial roads is established and solved by multi-objective particle swarm optimization algorithm. Intersection of multi-time control scheme of the best switching moment. The simulation results show that compared with the current control scheme and the hybrid cluster model at intersection, the control model of this study shows that the average vehicle delay at intersections decreases by 12.63% and 2.45% respectively, and the total scenario bandwidth in multi-period trunk roads increases by 0.98% and 23.51 %, And the possibility of disturbance caused by the scenario switching to traffic flow is minimized.