城市轨道交通相邻多车站动态协同限流研究

为应对城市轨道交通车站高峰期客流压力,限流已经成为常态应对措施,而经常采用的限流策略大多针对单个车站,缺少对相邻多个车站的协同考虑。基于客流在车站间的传播效应,以乘客总延误时间最小为目标,以站台及列车能力为约束条件,构建城市轨道交通相邻多车站协同限流决策模型,同时为实现实时动态控制,引入滚动时域控制方法,优化多车站动态协同限流流程。以北京地铁8号线为例,经过相邻若干车站运营数据进行限流策略计算。结果表明,该模型限流可以在不造成车站服务人数损失的同时,将乘客总延误时间降低21%。

A Study on Passenger Flow Control with Multi-station Dynamic Coordination in Urban Transit System

Flow control has become the common practice of transit stations to cope with the pressure of passenger flow during peak periods. However, most of the flow control strategies are based on one single station rather than the coordinated approach based on multiple adjacent stations. In this study, a multi-station coordinated flow control decision-making model is built based on the spreading effect of passenger flow in different stations, considering the constraint factor of platform and train capacity with the purpose of minimizing the total delaying time of passengers. Meanwhile, the receding horizon control method is adopted for real time dynamic control to optimize the coordinated flow control procedures. Taking Beijing Subway Line 8 as an example, the calculation results show that the multi-station coordinated flow control strategy can reduce the total passenger delaying time by 21% without causing loss of the number of passengers receiving service in the station.