Real-Time Scheduling for Single Lines in Urban Rail Transit Systems

被引:0
|
作者
Wang, Yihui [1 ]
De Schutter, Bart [1 ]
van den Boom, Ton [1 ]
Ning, Bin [2 ]
Tang, Tao [2 ]
机构
[1] Delft Univ Technol, Delft Ctr Syst & Control, Delft, Netherlands
[2] Beijing Jiatong Univ, State Key Lab Traff Control & Safety, Beijing, Peoples R China
关键词
MODEL; TRAINS;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The real-time scheduling problem for urban rail transit systems is considered with the aim of minimizing the total passenger travel time, i.e. the sum of passenger waiting time at stations and passenger on-board time. The operation of trains and passenger demand characteristics are formulated in the real-time scheduling model. The minimum headway constraints are also taken into account to ensure the running safety of trains in urban rail transit. The resulting real-time scheduling problem is a nonlinear non-convex programming problem, which can be solved using state-of-the art algorithms to obtain the optimal departure times, running times, and dwell times of trains. A case study based on the data of Beijing Yizhuang line is used to demonstrate the performance of the proposed approach.
引用
收藏
页码:1 / 6
页数:6
相关论文
共 50 条
  • [1] Real-Time Scheduling for Trains in Urban Rail Transit Systems Using Nonlinear Optimization
    Wang, Yihui
    De Schutter, Bart
    van den Boom, Ton J. J.
    Ning, Bin
    Tang, Tao
    [J]. 2013 16TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS - (ITSC), 2013, : 1334 - 1339
  • [2] Efficient Real-Time Train Scheduling for Urban Rail Transit Systems Using Iterative Convex Programming
    Wang, Yihui
    Ning, Bin
    Tang, Tao
    van den Boom, Ton J. J.
    De Schutter, Bart
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 16 (06) : 3337 - 3352
  • [3] Train scheduling and circulation planning in urban rail transit lines
    Wang, Yihui
    Liao, Zhibin
    Tang, Tao
    Ning, Bin
    [J]. CONTROL ENGINEERING PRACTICE, 2017, 61 : 112 - 123
  • [4] Real-time optimization for train regulation and stop-skipping adjustment strategy of urban rail transit lines *
    Chen, Zebin
    Li, Shukai
    D'Ariano, Andrea
    Yang, Lixing
    [J]. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2022, 110
  • [5] Real-time scheduling rules for demand responsive transit systems
    Dessouky, M
    Adam, S
    [J]. 1998 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5, 1998, : 2956 - 2961
  • [6] Scenario-Based MPC for Real-Time Passenger-Centric Timetable Scheduling of Urban Rail Transit Networks
    Liu, Xiaoyu
    Dabiri, Azita
    De Schutter, Bart
    [J]. IFAC PAPERSONLINE, 2023, 56 (02): : 2347 - 2352
  • [7] PReS: Power Peak Reduction by Real-time Scheduling for Urban Railway Transit
    Yang, Zekun
    Chen, Yu
    Zhou, Ning
    Tong, Shiqiong
    [J]. 2019 IEEE SUSTAINABILITY THROUGH ICT SUMMIT (STICT), 2019, : 43 - 48
  • [8] Coupling real-time simulation of power supply, trains and dispatching for urban rail transit
    Zhang, Yu
    Zhang, Zhaoyang
    Xu, Li'en
    Ying, Ting
    Li, Jianghong
    Chen, Huaguo
    Hu, Yunqing
    Qing, Guangming
    [J]. TRANSPORTATION SAFETY AND ENVIRONMENT, 2021, 3 (03)
  • [9] Real-Time Optimization of Urban Rail Transit Train Scheduling via Advantage Actor-Critic Deep Reinforcement Learning
    Wen, Longhui
    Zhou, Wei
    Liu, Jiajun
    Ren, Gang
    Zhang, Ning
    [J]. JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS, 2024, 150 (09)
  • [10] REAL-TIME SCHEDULING ON A TRANSIT BUS ROUTE
    LI, YH
    ROUSSEAU, JM
    WU, FJ
    [J]. LECTURE NOTES IN ECONOMICS AND MATHEMATICAL SYSTEMS, 1992, 386 : 213 - 235