潮汐车道清空与下游路口信号协同控制方法研究

潮汐车道快速清空成为提高潮汐车道控制效率的关键环节之一.本文基于集散波理论对直行绿灯汇入及左转绿灯汇入流量差异状态下的车辆运行状态进行分析，构建车道指示灯切换时刻、下游路口信号控制和相应车道清空时间之间的关系模型，在此基础上设计车道清空时间与下游路口车均延误的组合优化模型.最后，利用遗传算法对目标函数进行最优求解，获取最优组合控制方案.经仿真验证发现，不同的车道指示灯变换时刻及下游信号优先策略，会提高车道的清空速率，但也会带来下游路口车均延误的增加，而通过组合优化模型的筛选可以寻找出平衡两者需求的最佳控制策略.

Collaborative Control Method of Tidal Lane Clearing and Downstream Intersection Signals

Nowadays, the clearance of the tidal lane becomes one of the keys to improving the control efficiency of the tidal lane. Based on the theory of gather-disperse wave, this paper analyzes the running state of the vehicle under the condition of direct green light inflow and left turn green light inflow, and builds a relationship model between lane indicator switching time, downstream intersection signal control and corresponding lane clearing time. And then, a combined optimization model for designing the lane clearing time and the delay of the downstream intersection is designed. Finally, the genetic algorithm is used to solve the objective function optimally, and obtained the optimal combination control scheme. It is found by simulation that different lane indicator change time and downstream signal priority strategy would increase the lane clearing rate, but it also increases the delay of the downstream intersections, and the integrated optimization model can be used to find out the best control strategy to balance the needs of both.