IDEAS home Printed from https://ideas.repec.org/h/spr/lnopch/978-3-031-92575-7_40.html
   My bibliography  Save this book chapter

Capacity Optimal Block Division for Railway Lines Under ETCS Level 2 Without Signals (ETCS-L2oS)

Author

Listed:
  • Arturo Crespo

    (TU Darmstadt - Institut Für Bahnsysteme und Bahntechnik)

  • Nenad Grubor

    (TU Darmstadt - Institut Für Bahnsysteme und Bahntechnik)

  • Andreas Oetting

    (TU Darmstadt - Institut Für Bahnsysteme und Bahntechnik)

Abstract

The continuous effort to increase railway capacity is supported by modern technologies such as the European Train Control System (ETCS). ETCS Level 2 without signals (ETCS-L2oS) is the preferred level for rollout in Germany. To ensure the capacity gains from these systems, optimizing block division (the distance between ETCS signals) is crucial. The challenge lies in deriving a capacity optimal block division while adhering to established planning rules. These rules, although restrictive, are not absolute and may change over time. Currently, few approaches exist for optimizing block division in ETCS L2oS. Most aim to adjust block sizes for specific train sequences without considering the placement restrictions of ETCS signals, failing to meet practical requirements and future capacity needs. This article addresses these gaps by proposing a novel heuristic approach to optimize block division on ETCS L2oS lines. By incorporating flexible restrictions and flexible computation, the approach ensures that block division is optimized for both current and potential future requirements.

Suggested Citation

  • Arturo Crespo & Nenad Grubor & Andreas Oetting, 2025. "Capacity Optimal Block Division for Railway Lines Under ETCS Level 2 Without Signals (ETCS-L2oS)," Lecture Notes in Operations Research,, Springer.
    • Handle: RePEc:spr:lnopch:978-3-031-92575-7_40
    DOI: 10.1007/978-3-031-92575-7_40
    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.

    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:lnopch:978-3-031-92575-7_40. 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.