Quantitative methods for train delay propagation research
(2023) 2022 Conference Proceedings Transport Research Arena, TRA Lisbon 2022 In Transportation Research Procedia 72. p.80-86- 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... (More)
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.
(Less)
- author
- Tiong, Kah Yong LU and Palmqvist, Carl William LU
- organization
- publishing date
- 2023
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- analytic methods, data-driven, optimization, simulation, systematic literature review, train delay propagation
- host publication
- Transportation Research Procedia
- series title
- Transportation Research Procedia
- volume
- 72
- pages
- 7 pages
- publisher
- Elsevier
- conference name
- 2022 Conference Proceedings Transport Research Arena, TRA Lisbon 2022
- conference location
- Lisboa, Portugal
- conference dates
- 2022-11-14 - 2022-11-17
- external identifiers
-
- scopus:85182947148
- ISSN
- 2352-1457
- DOI
- 10.1016/j.trpro.2023.11.326
- language
- English
- LU publication?
- yes
- additional info
- 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)
- id
- dd2586c8-883e-4d80-a10c-6cb20921d1a1
- date added to LUP
- 2024-01-31 07:05:50
- date last changed
- 2024-02-08 13:06:00
@inproceedings{dd2586c8-883e-4d80-a10c-6cb20921d1a1, abstract = {{<p>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.</p>}}, author = {{Tiong, Kah Yong and Palmqvist, Carl William}}, booktitle = {{Transportation Research Procedia}}, issn = {{2352-1457}}, keywords = {{analytic methods; data-driven; optimization; simulation; systematic literature review; train delay propagation}}, language = {{eng}}, pages = {{80--86}}, publisher = {{Elsevier}}, series = {{Transportation Research Procedia}}, title = {{Quantitative methods for train delay propagation research}}, url = {{http://dx.doi.org/10.1016/j.trpro.2023.11.326}}, doi = {{10.1016/j.trpro.2023.11.326}}, volume = {{72}}, year = {{2023}}, }