Computational decision-support for railway traffic management and associated configuration challenges: An experimental study

This paper investigates potential configuration challenges in the development of optimization-based computational re-scheduling support for railway traffic networks. The paper presents results from an experimental study on how the characteristics of different situations influence the problem formula...

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Published in:Journal of Rail Transport Planning & Management
Main Author: Törnquist Krasemann, Johanna
Format: Article in Journal/Newspaper
Language:English
Published: Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik 2015
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:bth-11114
https://doi.org/10.1016/j.jrtpm.2015.09.002
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spelling ftblekingethallb:oai:DiVA.org:bth-11114 2023-05-15T17:44:48+02:00 Computational decision-support for railway traffic management and associated configuration challenges: An experimental study Törnquist Krasemann, Johanna 2015 application/pdf http://urn.kb.se/resolve?urn=urn:nbn:se:bth-11114 https://doi.org/10.1016/j.jrtpm.2015.09.002 eng eng Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik Journal of Rail Transport Planning & Management, 2210-9706, 2015, 5:3, s. 95-109 orcid:0000-0002-8373-8398 http://urn.kb.se/resolve?urn=urn:nbn:se:bth-11114 doi:10.1016/j.jrtpm.2015.09.002 info:eu-repo/semantics/openAccess Railway traffic management Real-time scheduling Decision Support Optimization Job Shop Scheduling Computer Systems Datorsystem Article in journal info:eu-repo/semantics/article text 2015 ftblekingethallb https://doi.org/10.1016/j.jrtpm.2015.09.002 2022-05-01T13:58:39Z This paper investigates potential configuration challenges in the development of optimization-based computational re-scheduling support for railway traffic networks. The paper presents results from an experimental study on how the characteristics of different situations influence the problem formulation and the resulting re-scheduling solutions. Two alternative objective functions are applied: Minimization of the delays at the end stations which exceed three minutes and minimization of delays larger than three minutes at intermediary commercial stops and at end stations. The study focuses on the congested, single-tracked Iron Ore line located in Northern Sweden. A combinatorial optimization model adapted to the special restrictions of this line is applied on 20 different disturbance scenarios and solved using commercial optimization software. The resulting re-scheduling solutions are analyzed numerically and visually in order to better understand the practical impact of using the suggested problem formulations in this context. The results show that the two alternative, objective functions result in structurally, quite different re-scheduling solutions. All scenarios were solved to optimality within 1 minute or less, which indicates that commercial solvers can handle practical problems of a relevant size for this type of setting, but the type of scenario has also a significant impact on the computation time. Flexibel Omplanering av Tåglägen (FLOAT) www.bth.se/float Article in Journal/Newspaper Northern Sweden BTH - Blekinge Institute of Technology: Publications (DIVA) Journal of Rail Transport Planning & Management 5 3 95 109
institution Open Polar
collection BTH - Blekinge Institute of Technology: Publications (DIVA)
op_collection_id ftblekingethallb
language English
topic Railway traffic management
Real-time scheduling
Decision Support
Optimization
Job Shop Scheduling
Computer Systems
Datorsystem
spellingShingle Railway traffic management
Real-time scheduling
Decision Support
Optimization
Job Shop Scheduling
Computer Systems
Datorsystem
Törnquist Krasemann, Johanna
Computational decision-support for railway traffic management and associated configuration challenges: An experimental study
topic_facet Railway traffic management
Real-time scheduling
Decision Support
Optimization
Job Shop Scheduling
Computer Systems
Datorsystem
description This paper investigates potential configuration challenges in the development of optimization-based computational re-scheduling support for railway traffic networks. The paper presents results from an experimental study on how the characteristics of different situations influence the problem formulation and the resulting re-scheduling solutions. Two alternative objective functions are applied: Minimization of the delays at the end stations which exceed three minutes and minimization of delays larger than three minutes at intermediary commercial stops and at end stations. The study focuses on the congested, single-tracked Iron Ore line located in Northern Sweden. A combinatorial optimization model adapted to the special restrictions of this line is applied on 20 different disturbance scenarios and solved using commercial optimization software. The resulting re-scheduling solutions are analyzed numerically and visually in order to better understand the practical impact of using the suggested problem formulations in this context. The results show that the two alternative, objective functions result in structurally, quite different re-scheduling solutions. All scenarios were solved to optimality within 1 minute or less, which indicates that commercial solvers can handle practical problems of a relevant size for this type of setting, but the type of scenario has also a significant impact on the computation time. Flexibel Omplanering av Tåglägen (FLOAT) www.bth.se/float
format Article in Journal/Newspaper
author Törnquist Krasemann, Johanna
author_facet Törnquist Krasemann, Johanna
author_sort Törnquist Krasemann, Johanna
title Computational decision-support for railway traffic management and associated configuration challenges: An experimental study
title_short Computational decision-support for railway traffic management and associated configuration challenges: An experimental study
title_full Computational decision-support for railway traffic management and associated configuration challenges: An experimental study
title_fullStr Computational decision-support for railway traffic management and associated configuration challenges: An experimental study
title_full_unstemmed Computational decision-support for railway traffic management and associated configuration challenges: An experimental study
title_sort computational decision-support for railway traffic management and associated configuration challenges: an experimental study
publisher Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik
publishDate 2015
url http://urn.kb.se/resolve?urn=urn:nbn:se:bth-11114
https://doi.org/10.1016/j.jrtpm.2015.09.002
genre Northern Sweden
genre_facet Northern Sweden
op_relation Journal of Rail Transport Planning & Management, 2210-9706, 2015, 5:3, s. 95-109
orcid:0000-0002-8373-8398
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-11114
doi:10.1016/j.jrtpm.2015.09.002
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.1016/j.jrtpm.2015.09.002
container_title Journal of Rail Transport Planning & Management
container_volume 5
container_issue 3
container_start_page 95
op_container_end_page 109
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