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Auteurs principaux: Lin, Boliang, Li, Xiang, Gu, Yuxue, Lu, Dishen
Format: Preprint
Publié: 2025
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Accès en ligne:https://arxiv.org/abs/2509.13383
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author Lin, Boliang
Li, Xiang
Gu, Yuxue
Lu, Dishen
author_facet Lin, Boliang
Li, Xiang
Gu, Yuxue
Lu, Dishen
contents Maintenance bases are crucial for the safe and stable operation of high-speed trains, necessitating significant financial investment for their construction and operation. Planning the location and task allocation of these bases in the vast high-speed railway network is a complex combinatorial optimization problem. This paper explored the strategic planning of identifying optimal locations for maintenance bases, introducing a bi-level programming model. The upper-level objective was to minimize the annualized total cost, including investment for new or expanding bases and total maintenance costs, while the lower-level focused on dispatching high-speed trains to the most suitable base for maintenance tasks, thereby reducing maintenance operation dispatch costs under various investment scenarios. A case study of the Northwest China high-speed rail network demonstrated the application of this model, and included the sensitivity analysis reflecting maintenance policy reforms. The results showed that establishing a new base in Hami and expanding Xi'an base could minimize the total annualized cost during the planning period, amounting to a total of 2,278.15 million RMB. This paper offers an optimization method for selecting maintenance base locations that ensures reliability and efficiency in maintenance work as the number of trains increases in the future.
format Preprint
id arxiv_https___arxiv_org_abs_2509_13383
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Location and allocation problem of high-speed train maintenance bases
Lin, Boliang
Li, Xiang
Gu, Yuxue
Lu, Dishen
Systems and Control
Maintenance bases are crucial for the safe and stable operation of high-speed trains, necessitating significant financial investment for their construction and operation. Planning the location and task allocation of these bases in the vast high-speed railway network is a complex combinatorial optimization problem. This paper explored the strategic planning of identifying optimal locations for maintenance bases, introducing a bi-level programming model. The upper-level objective was to minimize the annualized total cost, including investment for new or expanding bases and total maintenance costs, while the lower-level focused on dispatching high-speed trains to the most suitable base for maintenance tasks, thereby reducing maintenance operation dispatch costs under various investment scenarios. A case study of the Northwest China high-speed rail network demonstrated the application of this model, and included the sensitivity analysis reflecting maintenance policy reforms. The results showed that establishing a new base in Hami and expanding Xi'an base could minimize the total annualized cost during the planning period, amounting to a total of 2,278.15 million RMB. This paper offers an optimization method for selecting maintenance base locations that ensures reliability and efficiency in maintenance work as the number of trains increases in the future.
title Location and allocation problem of high-speed train maintenance bases
topic Systems and Control
url https://arxiv.org/abs/2509.13383