Resource-Oriented Augmentation of a Train Timetable

In this paper, we present a practical approach for the integrated problem of train timetabling and rolling stock scheduling, namely the Resource-oriented Augmentation of a Train Timetable (RATT). As the integrated problem is known to be challenging for real-world instances, the RATT approach is a po...

Full description

Bibliographic Details
Main Authors: Sukmun Oh, Kwanghun Chung, Jiwoong Choi
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10274951/
_version_ 1797655649868316672
author Sukmun Oh
Kwanghun Chung
Jiwoong Choi
author_facet Sukmun Oh
Kwanghun Chung
Jiwoong Choi
author_sort Sukmun Oh
collection DOAJ
description In this paper, we present a practical approach for the integrated problem of train timetabling and rolling stock scheduling, namely the Resource-oriented Augmentation of a Train Timetable (RATT). As the integrated problem is known to be challenging for real-world instances, the RATT approach is a possible alternative to handle the problem, especially considering the Korean high-speed railway circumstances. In our RATT approach, we extend an existing timetable via train augmentation under the given number of rolling stocks and the managerial constraints of a railway company. To this end, we develop three approaches to solve a real-world problem from a Korean high-speed railway company. First, a generic mixed integer programming model based on the network flow structure is formulated. Second, a train generation technique is adopted to the generic model to enhance the model solvability. Finally, an iterative decomposition scheme is tested to handle large scale problems. Through computational experiments, we show that the train generation technique is essential for the RATT approach, and the decomposition scheme should be considered for large scale problems.
first_indexed 2024-03-11T17:17:32Z
format Article
id doaj.art-7f279fe351ff49f08f6f8157a408fccc
institution Directory Open Access Journal
issn 2169-3536
language English
last_indexed 2024-03-11T17:17:32Z
publishDate 2023-01-01
publisher IEEE
record_format Article
series IEEE Access
spelling doaj.art-7f279fe351ff49f08f6f8157a408fccc2023-10-19T23:00:35ZengIEEEIEEE Access2169-35362023-01-011111428311429010.1109/ACCESS.2023.332359010274951Resource-Oriented Augmentation of a Train TimetableSukmun Oh0Kwanghun Chung1Jiwoong Choi2https://orcid.org/0000-0003-4892-378XKorea Railroad Research Institute, Uiwang-si, Republic of KoreaCollege of Business Administration, Hongik University, Mapo-gu, Republic of KoreaGurobi Korea, Songpa-gu, Republic of KoreaIn this paper, we present a practical approach for the integrated problem of train timetabling and rolling stock scheduling, namely the Resource-oriented Augmentation of a Train Timetable (RATT). As the integrated problem is known to be challenging for real-world instances, the RATT approach is a possible alternative to handle the problem, especially considering the Korean high-speed railway circumstances. In our RATT approach, we extend an existing timetable via train augmentation under the given number of rolling stocks and the managerial constraints of a railway company. To this end, we develop three approaches to solve a real-world problem from a Korean high-speed railway company. First, a generic mixed integer programming model based on the network flow structure is formulated. Second, a train generation technique is adopted to the generic model to enhance the model solvability. Finally, an iterative decomposition scheme is tested to handle large scale problems. Through computational experiments, we show that the train generation technique is essential for the RATT approach, and the decomposition scheme should be considered for large scale problems.https://ieeexplore.ieee.org/document/10274951/Decompositionoptimization modelresource-oriented augmentationrolling stock schedulingtrain timetabling
spellingShingle Sukmun Oh
Kwanghun Chung
Jiwoong Choi
Resource-Oriented Augmentation of a Train Timetable
IEEE Access
Decomposition
optimization model
resource-oriented augmentation
rolling stock scheduling
train timetabling
title Resource-Oriented Augmentation of a Train Timetable
title_full Resource-Oriented Augmentation of a Train Timetable
title_fullStr Resource-Oriented Augmentation of a Train Timetable
title_full_unstemmed Resource-Oriented Augmentation of a Train Timetable
title_short Resource-Oriented Augmentation of a Train Timetable
title_sort resource oriented augmentation of a train timetable
topic Decomposition
optimization model
resource-oriented augmentation
rolling stock scheduling
train timetabling
url https://ieeexplore.ieee.org/document/10274951/
work_keys_str_mv AT sukmunoh resourceorientedaugmentationofatraintimetable
AT kwanghunchung resourceorientedaugmentationofatraintimetable
AT jiwoongchoi resourceorientedaugmentationofatraintimetable