交叉口混合交通流微观控制模型

Mixed traffic flow microscopic control model at intersections

为构建智能网联汽车(CAV)和有人驾驶汽车(HDV)混合通行情况下的交叉口通行机制与控制方法,本文提出CAV专用道条件下交叉口协同通行模型.首先,设计CAV专用道条件下的交叉口布置,对交叉口进行网格化处理,将CAV通行时隙和HDV绿灯相位对交叉口某部分网格某时段的占用统一到交叉口时空资源描述框架下;其次,建立兼顾CAV与HDV的交叉口时空网格资源分配模型,构建自适应信号灯控制算法和CAV轨迹规划算法;再次,以车辆最小延误为目标进行自适应信号灯配时优化和CAV轨迹优化;最后,选取广州某典型交叉口建立仿真实验对所提方法的有效性进行了验证.

In order to construct the traffic mechanism and control method of the intersection under the mixed traffic of connected and autonomous vehicles(CAV)and human drive vehicles(HDV),the paper proposed a cooperative traffic model for intersections under the conditions of CAV dedicated lanes.First,an intersection layout under the condition of CAV dedicated lanes is designed,and the intersection space is grid-processed.The occupancy of a particular part of the grid at the intersection for a certain period by the CAV and HDV is unified under the intersection space-time resource description framework.Second,a space-time resource allocation model is established considering both CAV and HDV.An adaptive signal light control algorithm and a CAV trajectory planning algorithm are proposed.Third,adaptive signal light timing and CAV trajectory are optimized to achieve minimum vehicle delay.Finally,the effectiveness of the proposed method is verified by selecting a typical intersection in Guangzhou to establish a simulation experiment.