Quantitative methods for train delay propagation research

Kah Yong Tiong; Carl William Palmqvist

doi:10.1016/j.trpro.2023.11.326

Quantitative methods for train delay propagation research

Kah Yong Tiong, Carl William Palmqvist

Railway Operation

K2–The Swedish Knowledge Centre for Public Transport

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

Abstract

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 language	English
Title of host publication	Transportation Research Procedia
Publisher	Elsevier
Pages	80-86
Number of pages	7
Volume	72
DOIs	https://doi.org/10.1016/j.trpro.2023.11.326
Publication status	Published - 2023
Event	2022 Conference Proceedings Transport Research Arena, TRA Lisbon 2022 - Lisboa, Portugal Duration: 2022 Nov 14 → 2022 Nov 17

Publication series

Name	Transportation Research Procedia
Publisher	Elsevier
ISSN (Print)	2352-1457

Conference

Conference	2022 Conference Proceedings Transport Research Arena, TRA Lisbon 2022
Country/Territory	Portugal
City	Lisboa
Period	2022/11/14 → 2022/11/17

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

Access to Document

10.1016/j.trpro.2023.11.326Licence: CC BY-NC-ND

Cite this

@inproceedings{dd2586c8883e4d80a10c6cb20921d1a1,

title = "Quantitative methods for train delay propagation research",

abstract = "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.",

keywords = "analytic methods, data-driven, optimization, simulation, systematic literature review, train delay propagation",

author = "Tiong, {Kah Yong} and Palmqvist, {Carl William}",

note = "Funding Information: This work was funded by the Swedish Transport Administration, grant number TRV2018/139443. Publisher Copyright: {\textcopyright} 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); 2022 Conference Proceedings Transport Research Arena, TRA Lisbon 2022 ; Conference date: 14-11-2022 Through 17-11-2022",

year = "2023",

doi = "10.1016/j.trpro.2023.11.326",

language = "English",

volume = "72",

series = "Transportation Research Procedia",

publisher = "Elsevier",

pages = "80--86",

booktitle = "Transportation Research Procedia",

address = "United States",

}

TY - GEN

T1 - Quantitative methods for train delay propagation research

AU - Tiong, Kah Yong

AU - Palmqvist, Carl William

N1 - 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)

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - analytic methods

KW - data-driven

KW - optimization

KW - simulation

KW - systematic literature review

KW - train delay propagation

U2 - 10.1016/j.trpro.2023.11.326

DO - 10.1016/j.trpro.2023.11.326

M3 - Paper in conference proceeding

AN - SCOPUS:85182947148

VL - 72

T3 - Transportation Research Procedia

SP - 80

EP - 86

BT - Transportation Research Procedia

PB - Elsevier

T2 - 2022 Conference Proceedings Transport Research Arena, TRA Lisbon 2022

Y2 - 14 November 2022 through 17 November 2022

ER -

Quantitative methods for train delay propagation research

Abstract

Publication series

Conference

Bibliographical note

Subject classification (UKÄ)

Free keywords

Access to Document

Fingerprint

Cite this