Train Scheduling Optimization for an Urban Rail Transit Line: A Simulated-Annealing Algorithm Using a Large Neighborhood Search Metaheuristic

Hai Zhang, Shaoquan Ni

Open source

DOI: 10.1155/2022/9604362
Published: 2022-12-17
Container: Journal of Advanced Transportation
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1155/2022/9604362,
  title = {Train Scheduling Optimization for an Urban Rail Transit Line: A Simulated-Annealing Algorithm Using a Large Neighborhood Search Metaheuristic},
  author = {Hai Zhang and Shaoquan Ni},
  year = {2022},
  journal = {Journal of Advanced Transportation},
  doi = {10.1155/2022/9604362},
  url = {https://doi.org/10.1155/2022/9604362}
}

RIS

TY  - JOUR
TI  - Train Scheduling Optimization for an Urban Rail Transit Line: A Simulated-Annealing Algorithm Using a Large Neighborhood Search Metaheuristic
AU  - Hai Zhang
AU  - Shaoquan Ni
PY  - 2022
JO  - Journal of Advanced Transportation
DO  - 10.1155/2022/9604362
UR  - https://doi.org/10.1155/2022/9604362
ER  -

APA

Zhang, H., & Ni, S. (2022). Train Scheduling Optimization for an Urban Rail Transit Line: A Simulated-Annealing Algorithm Using a Large Neighborhood Search Metaheuristic. Journal of Advanced Transportation. https://doi.org/10.1155/2022/9604362

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crossref · retrieved 2026-11-07T13:06:28.714Z