Quantitative methods for train delay propagation research

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Due to the increase in railway traffic, trains increasingly need to adhere to their scheduled path to avoid extensive propagation of delays. This paper presents the findings of a systematic literature review covering articles related to the delay propagation problems of trains. By searching both the Scopus and Web of Science databases, the content of 156 relevant papers was screened and analyzed. The different methods, including optimization, simulation, analytical methods, and data-driven methods, are reviewed. Then, key issues in establishing different models using these methods for the train delay propagation problem are addrebed. This review provides a foundation for the different methods adopted to solve different aspects of train delay propagation problems, thus giving support to future research work related to train delay propagation problems.

Original languageEnglish
Title of host publicationTransportation Research Procedia
Number of pages7
Publication statusPublished - 2023
Event2022 Conference Proceedings Transport Research Arena, TRA Lisbon 2022 - Lisboa, Portugal
Duration: 2022 Nov 142022 Nov 17

Publication series

NameTransportation Research Procedia
ISSN (Print)2352-1457


Conference2022 Conference Proceedings Transport Research Arena, TRA Lisbon 2022

Bibliographical note

Funding Information:
This work was funded by the Swedish Transport Administration, grant number TRV2018/139443.

Publisher Copyright:
© 2023 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0)

Subject classification (UKÄ)

  • Transport Systems and Logistics

Free keywords

  • analytic methods
  • data-driven
  • optimization
  • simulation
  • systematic literature review
  • train delay propagation

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