IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-55753-8_53.html

Train Schedule Optimization in Public Rail Transport

In: Mathematics — Key Technology for the Future

Author

Listed:
  • U. T. Zimmermann

    (Braunschweig University of Technology, Department of Mathematical Optimization)

  • T. Lindner

    (Braunschweig University of Technology, Department of Mathematical Optimization)

Abstract

Attractive train schedules are quite important for the success of public rail transport. We consider schedules which are repeated after some fixed time period. Periodicity is a well accepted, convenient attribute of all major railroad systems. Since trains share the public railroad network, we have to handle many conflicting demands. Increasing competition from transportation alternatives as well as the politically motivated process of deregulation forces railroad companies to reduce cost and resource utilization. In this situation, better decision tools are quite welcome. Here, we discuss models and corresponding methods for cost optimal train scheduling in real world railroad networks.

Suggested Citation

  • U. T. Zimmermann & T. Lindner, 2003. "Train Schedule Optimization in Public Rail Transport," Springer Books, in: Willi Jäger & Hans-Joachim Krebs (ed.), Mathematics — Key Technology for the Future, pages 703-716, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-55753-8_53
    DOI: 10.1007/978-3-642-55753-8_53
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhong, Linhuan & Liu, Yang & Xu, Guangming & Liu, Wei & Yang, Hai, 2025. "Train capacity optimization under stochastic demand: A flexible composition strategy with extra-long trains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 204(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:spr:sprchp:978-3-642-55753-8_53. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.