IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i2p730-d1569746.html
   My bibliography  Save this article

Integrated Optimization of Train Schedules and Transportation Plans for a Passenger–Freight Metro Line

Author

Listed:
  • Zhen Di

    (Jiangxi Provincial Key Laboratory of Comprehensive Stereoscopic Traffic Information Perception and Fusion, East China Jiaotong University, Nanchang 330013, China
    School of Transportation Engineering, East China Jiaotong University, Nanchang 330013, China)

  • Hanqi Zuo

    (School of Transportation Engineering, East China Jiaotong University, Nanchang 330013, China)

  • Housheng Zhou

    (School of System Science, Beijing Jiaotong University, Beijing 100044, China)

  • Jianguo Qi

    (School of System Science, Beijing Jiaotong University, Beijing 100044, China)

  • Shenghu Zhang

    (School of Mathematics and Statistics, Jiangxi Normal University, Nanchang 330022, China)

Abstract

Against the backdrop of developing metro-based passenger and freight co-transportation plans, this study addresses the integrated optimization problem of train scheduling and flow control for a co-transportation metro line, where passengers and freight can share the same trains. Given a set of time-dependent passenger and freight demands, the problem involves determining the space-time trajectories and passenger (or freight) capacities of trains while simultaneously assigning these demands to the trains. To tackle this, train selection variables, carriage arrangement variables, and flow assignment variables are introduced, and the problem is formulated as an integer linear programming model. The objective is to minimize the weighted sum of the number of freight carriages, the total waiting time of all passengers, and the total delay of all freight. The proposed model is equivalent to a mixed-integer linear programming model, which allows a commercial solver to efficiently find the exact solution. To validate the effectiveness of the proposed method, several numerical examples of varying scales are tested. The results demonstrate that integrating the optimization of train schedules and co-transportation plans significantly enhances the efficiency of the entire co-transportation system.

Suggested Citation

  • Zhen Di & Hanqi Zuo & Housheng Zhou & Jianguo Qi & Shenghu Zhang, 2025. "Integrated Optimization of Train Schedules and Transportation Plans for a Passenger–Freight Metro Line," Sustainability, MDPI, vol. 17(2), pages 1-18, January.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:2:p:730-:d:1569746
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/2/730/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/2/730/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:17:y:2025:i:2:p:730-:d:1569746. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.