偶发拥挤下轨道交通车站动态客流控制研究

Dynamic inflow control for urban rail transit station under occasional congestion

为降低轨道交通偶发性客流拥挤带来的客运安全风险,基于闭环反馈机制构建车站主动式客流控制策略。以视频识别获取的站台客流密度和闸机统计的进站量为实时数据源,建立以客流安全状态为系统状态变量,以进站客流流速为控制变量的闭环反馈控制机制;为弥补反馈控制固有的时间滞后性,融合客流密度短时预测实现客流的主动预防式调控,对车站实施精细化客流控制。为验证所构建策略的准确性与有效性,运用Anylogic对典型车站进行仿真测试,结果显示该策略能够有效降低客运安全风险,为动态客流控制的实施位置、启动时间和控制强度提供决策参考。

In order to reduce the risk caused by occasional congestion to rail transit stations,a closed-loop feedback control was applied to construct an active preventive inflow control strategy.The passenger flow density obtained by video recognition and inflows obtained by ticket-check gates were used as real-time data source.The closed-loop feedback control strategy used the safety state of flows as the system state variable,and the inflow speed as the control variable.In order to make up for the time lag issue of normal feed-back control,short-time prediction of passenger flow density was combined in the control strategy.Then a typical station was simulated by the tool of Anylogic to verify the effectiveness of the proposed method.The results show that the proposed strategy can reduce the flow safety risk and provide support for deciding control location,time and strength.