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

Arturo Crespo (), Nenad Grubor and Andreas Oetting
Additional contact information
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

A chapter in Operations Research Proceedings 2024, 2025, pp 286-291 from Springer

Abstract: 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.

Keywords: ETCS; Block Division; Capacity Planning (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-3-031-92575-7_40

Ordering information: This item can be ordered from
http://www.springer.com/9783031925757

DOI: 10.1007/978-3-031-92575-7_40

Access Statistics for this chapter

More chapters in Lecture Notes in Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().