A taxonomy of railway track maintenance planning and scheduling: A review and research trends
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DOI: 10.1016/j.ress.2021.107827
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Citations
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- Lee, Jun S. & Yeo, In-Ho & Bae, Younghoon, 2024. "A stochastic track maintenance scheduling model based on deep reinforcement learning approaches," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
- Song, Bing & Zhang, Zhipeng & Qin, Yong & Liu, Xiang & Hu, Hao, 2022. "Quantitative analysis of freight train derailment severity with structured and unstructured data," Reliability Engineering and System Safety, Elsevier, vol. 224(C).
- Li, Zai-Wei & Zhou, Yun-Lai & Liu, Xiao-Zhou & Abdel Wahab, Magd, 2023. "Service reliability assessment of ballastless track in high speed railway via improved response surface method," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
- Mohammadi, Reza & He, Qing, 2022. "A deep reinforcement learning approach for rail renewal and maintenance planning," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
- Saleh, Ali & Remenyte-Prescott, Rasa & Prescott, Darren & ChiachÃo, Manuel, 2024. "Intelligent and adaptive asset management model for railway sections using the iPN method," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
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Keywords
Maintenance management; Planning; Scheduling; Decision support models; Railway track;All these keywords.
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