Latest revision as of 02:33, 23 March 2021

Abstract

Network-wide maintenance lacks strong theoretical support and practical cases. However, research on this topic has entered an extensive exploratory stage; for example, new network design methods are being sought, and successful practices from traditional maintenance by line and by profession are being incorporated. This paper proposes a novel set-covering model with the variable coverage radius for the maintenance network of urban rail transit systems in the context of network-wide maintenance. The concepts of network-wide maintenance follow principles that are similar to those of bio-geography-based optimization (BBO), i.e., patterns of migration, variation, and extinction of different populations in different habitats. Therefore, a BBO algorithm is implemented with combinatorial optimization programming. Experiments from Changchun city in China show that the proposed model and algorithm are effective in fulfilling network-wide requirements through a direct tradeoff between the coverage radius and maintenance response time. In addition, the maintenance capacity and variable coverage radius of each maintenance point influence both the maintenance timeliness and resource utilization of maintenance units.

Document type: Article

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The different versions of the original document can be found in:

• http://dx.doi.org/10.1155/2020/3971478 under the license http://creativecommons.org/licenses/by/4.0/

• https://doi.org/10.1155/2020/3971478

• http://downloads.hindawi.com/journals/jat/2020/3971478.pdf,

http://downloads.hindawi.com/journals/jat/2020/3971478.xml,

http://dx.doi.org/10.1155/2020/3971478 under the license cc-by

• http://downloads.hindawi.com/journals/jat/2020/3971478.pdf,

https://www.hindawi.com/journals/jat/2020/3971478,

https://academic.microsoft.com/#/detail/3046697849 under the license http://creativecommons.org/licenses/by/4.0/

• http://dx.doi.org/10.1155/2020/3971478,

https://doaj.org/toc/0197-6729,

https://doaj.org/toc/2042-3195