交叉口动态车道与交通信号协同优化方法

以往动态车道研究倾向于在固定信号配时或预先设定的信号配时方案下进行优化，无法充分利用交叉口的时空资源.本文根据实时交通需求，以交叉口车辆平均延误最小为目标，以信号周期、相位绿灯时间和车道数为约束条件，构建动态车道与交通信号协同优化模型.模型分两部分，第1部分考虑进出口道车道平衡，计算可行的动态车道备选方案，将备选方案的输出参数作为第2部分模型的输入参数；第2部分根据实时交通需求，生成动态车道优化方案和信号优化方案.将本文优化方法与传统信号配时方法进行比较，实验结果表明，本文模型能更好地降低交叉口平均延误，有效提升信号交叉口时空资源利用率.

An Optimization Model for Dynamic Lane Grouping and Signal Phase at Intersection

In previous studies, dynamic lane grouping (DLG) is optimized under the fixed or pre-set signal timing schemes, which results in the waste of time- space resources of the intersection. This paper proposes a two- part model to collaboratively optimize the dynamic lane grouping and signal timing parameters according to the realtime traffic demand, with the signal cycle, green time, and optimized lane number as constraints, and with the goal of minimizing the average delay of vehicles at the intersection. The first part is to generate all the feasible DLG alternatives based on lane balance, which are taken the input parameters of the second part of the model. The second part is to optimize the dynamic lane scheme and the signal scheme. The proposed model is compared with the conventional signal timing method in simulation. Results indicate that the proposed model reduces more intersection delay than conventional methods, and it can effectively improve the utilization rate of spatial and temporal resources at signalized intersections.