Decomposition and distributed optimization of real-time traffic management for large-scale railway networks
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DOI: 10.1016/j.trb.2020.09.004
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Cited by:
- Zhang, Huimin & Li, Shukai & Wang, Yihui & Yang, Lixing & Gao, Ziyou, 2021. "Collaborative real-time optimization strategy for train rescheduling and track emergency maintenance of high-speed railway: A Lagrangian relaxation-based decomposition algorithm," Omega, Elsevier, vol. 102(C).
- Oleg O. Khamisov & Oleg V. Khamisov & Todor D. Ganchev & Eugene S. Semenkin, 2024. "A Method for Transforming Non-Convex Optimization Problem to Distributed Form," Mathematics, MDPI, vol. 12(17), pages 1-16, September.
- Luan, Xiaojie & Corman, Francesco, 2022. "Passenger-oriented traffic control for rail networks: An optimization model considering crowding effects on passenger choices and train operations," Transportation Research Part B: Methodological, Elsevier, vol. 158(C), pages 239-272.
- Zhang, Yongxiang & Peng, Qiyuan & Lu, Gongyuan & Zhong, Qingwei & Yan, Xu & Zhou, Xuesong, 2022. "Integrated line planning and train timetabling through price-based cross-resolution feedback mechanism," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 240-277.
- Guo, Wenjing & Zhang, Yimeng & Li, Wenfeng & Negenborn, Rudy R. & Atasoy, Bilge, 2024. "Augmented Lagrangian relaxation-based coordinated approach for global synchromodal transport planning with multiple operators," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).
- Leutwiler, Florin & Corman, Francesco, 2022. "A logic-based Benders decomposition for microscopic railway timetable planning," European Journal of Operational Research, Elsevier, vol. 303(2), pages 525-540.
- Sartor, Giorgio & Mannino, Carlo & Nygreen, Thomas & Bach, Lukas, 2023. "A MILP model for quasi-periodic strategic train timetabling," Omega, Elsevier, vol. 116(C).
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Keywords
Real-time traffic management; Decomposition; Distributed optimization; Large-scale railway network;All these keywords.
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