Shandong Science ›› 2023, Vol. 36 ›› Issue (1): 99-106.doi: 10.3976/j.issn.1002-4026.2023.01.013

• Traffic and Transportation • Previous Articles     Next Articles

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

ZHAO Qingliang1a(), FENG Xiaobin1a, WU Feng2, WANG Yiduo1b,*()   

  1. 1. a. School of Economics and Management; b. College of Mathematics and Physics, Beijing University of Chemical Technology, Beijing 100029, China
    2. School of Software Engineering, Xi'an Jiaotong University, Xi'an 710049,China
  • Received:2022-03-13 Online:2023-02-20 Published:2023-02-08

Abstract:

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.

Key words: urban rail transportation, receding horizon control, station traffic restriction, single station traffic restriction, decision model, solution algorithm, dynamic control

CLC Number: 

  • U239.5