基于滚动时域控制的轨道交通车站单站限流策略研究

针对部分高负载节点车站存在站台拥挤的问题，建立数学模型优化乘客的平均等待时间，制定相应限流策略。以乘客在车站各处的等待时间最小为优化目标，进站口单位时间的限流人数作为决策变量，通过乘客在车站中不同位置的行为特征，制定站台容量、列车容量、限流区域3个约束条件，同时设计了基于滚动时域控制的算法进行模拟计算。结果表明，该算法较于一般的限流策略，在超限次数和超限人数上都有较大优势，能够在保证站台安全性的前提下，在繁忙时期有效减少超限次数，站台超限人数降低9%,并将乘客出行的总延误时间降低11%。该研究可为城市轨道交通限流提供有效参考。

Single station traffic restriction strategy of rail transitstation based on receding horizon control

Aiming to resolve the problem of platform congestion in some high-load node stations, this paper establishes a mathematical model to optimize the average waiting time of passengers and formulates the corresponding traffic-limiting strategies. The model takes the minimum waiting time of passengers as the optimization objective and the number of restricted passengers per unit time at the entrance of the station as the decision variable. According to the behavior characteristics of passengers at different positions in the station, three constraint conditions related to traffic restrictions are formulated:platform capacity constraint, train capacity constraint, and traffic restriction area constraint. At the same time, this paper designs an algorithm based on receding horizon control to perform simulation.The results show that compared with the general strategy of traffic restriction, the algorithm exhibits clear advantages regarding the determination of the times of overruns and the number of passengers during overruns.The algorithm can effectively lower the times of overruns, reduce the number of passengers during overruns by 9% at the platform,and decrease the total passenger travel delay time by 11% without compromising the safety at the platform. This study can provide an effective reference for rail transportation traffic restriction.