Journal
SUSTAINABILITY
Volume 14, Issue 22, Pages -Publisher
MDPI
DOI: 10.3390/su142215075
Keywords
urban rail transit; rolling stock scheduling; network operation; shared train depot; MILP
Funding
- Fundamental Research Funds for the Central Universities [2021JMBM015, 71901022, 71621001]
- National Natural Science Foundation of China
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This paper presents a coordinated model to optimize the rolling stock scheduling of two urban rail transit lines with a shared train depot. The proposed integrated and extended integrated optimization problems are transformed into mixed integer linear programming problems, which can be efficiently solved by an ant colony optimization algorithm. Numerical examples based on the Beijing Subway System are implemented to demonstrate the performance of the proposed models and solution approach.
This paper presents a coordinated model to optimize the rolling stock scheduling of two urban rail transit lines with a shared train depot. The proposed integrated and extended integrated optimization problems are transformed into mixed integer linear programming (MILP) problems, which can be efficiently solved by an ant colony optimization algorithm. Numerical examples based on the Beijing Subway System are implemented to demonstrate the performance of the proposed models and solution approach.
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