基于VisVAP的过饱和交叉口群自适应控制评价

为了提高交叉口群的运行效率,以改进的TACOS模型为基础,提出了适应过饱和状态下交通流动态变化的自适应控制策略。该方法以交叉口的关键路径通过最大车辆和平均排队长度最小为目标,实时优化相位放行方案,并根据最大排队长度的车流方向放行绿灯进行实时控制。利用Vissim中VisVAP模块对过饱和交叉口群自适应控制策略进行多项指标评价分析,并与定时控制相比较。结果表明,该控制方法可有效降低车辆平均等待时间和车均延误,提高通行能力。

Evaluation of Oversaturated Intersection Group Adaptive Control Based on VisVAP Simulation

An adaptive control strategy based on the improved TACOS model for the supersaturated state of traffic flow dynamic change is proposed to improve the efficiency of intersection group of adaptive control intersection.This method offers real-time optimization phase release plan with the intersection of the critical path through the vehicle maximum and average queue length minimum as the goal and release the green light for real-time control according to the flow direction of the maximum queue length.The Vissim VisVAP module is employed for multiple index evaluation analysis of intersection group of adaptive control strategy,which is compared with the timing control.Results show that the adaptive control method can effectively improve traffic capacity by reducing the average waiting time and delay of motor vehicles.