- Cacchiani, V.; Huisman, D.; Kidd, M.; Kroon, L.; Toth, P.; Veelenturf, L.; Wagenaar, J. An overview of recovery models and algorithms for real-time railway rescheduling. Transp. Res. Part B Methodol. 2014, 63, 15–37.
Paper not yet in RePEc: Add citation now
- Corman, F.; D’Ariano, A.; Pacciarelli, D.; Pranzo, M. A tabu search algorithm for rerouting trains during rail operations. Transp. Res. Part B Methodol. 2010, 44, 175–192. [CrossRef]
Paper not yet in RePEc: Add citation now
- Corman, F.; Meng, L. A review of online dynamic models and algorithms for railway traffic management. IEEE Trans. Intell. Transp. Syst. 2014, 16, 1274–1284. [CrossRef]
Paper not yet in RePEc: Add citation now
D’Ariano, A.; Pacciarelli, D.; Pranzo, M. A branch and bound algorithm for scheduling trains in a railway network. Eur. J. Oper. Res. 2007, 183, 643–657.
Dorfman, M.; Medanic, J. Scheduling trains on a railway network using a discrete event model of railway traffic. Transp. Res. Part B Methodol. 2004, 38, 81–98. [CrossRef]
- Duendar, S.; Sahin, I. Train re-scheduling with genetic algorithms and artificial neural networks for single-track railways. Transp. Res. Part C Emerg. Technol. 2013, 27, 1–15. [CrossRef]
Paper not yet in RePEc: Add citation now
- Fang, W.; Yang, S.; Yao, X. A survey on problem models and solution approaches to rescheduling in railway networks. IEEE Trans. Intell. Transp. Syst. 2015, 16, 2997–3016.
Paper not yet in RePEc: Add citation now
- Lamorgese, L.; Mannino, C. The track formulation for the train dispatching problem. Electron. Notes Discret. Math. 2013, 41, 559–566. [CrossRef]
Paper not yet in RePEc: Add citation now
- Liu, F.; Xun, J.; Liu, R.; Yin, J.; Dong, H. A real-Time rescheduling approach using loop iteration for high-Speed railway traffic. IEEE Intell. Transp. Syst. Mag. 2023, 15, 318–332. [CrossRef]
Paper not yet in RePEc: Add citation now
- Liu, F.; Xun, J.; Zhou, M.; He, S.; Dong, H. A driving strategy based integrated rescheduling Model for high-Speed railway by using the parallel intelligent method. In Proceedings of the 2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI), Boston, MA, USA, 24–28 October 2022.
Paper not yet in RePEc: Add citation now
- Luan, X.; Wang, Y.; De Schutter, B.; Meng, L.; Lodewijks, G.; Corman, F. Integration of real-time traffic management and train control for rail networks—Part 1: Optimization problems and solution approaches. Transp. Res. Part B Methodol. 2018, 115, 41–71. [CrossRef]
Paper not yet in RePEc: Add citation now
Meng, L.; Zhou, X. Robust single-track train dispatching model under a dynamic and stochastic environment: A scenario-based rolling horizon solution approach. Transp. Res. Part B 2011, 45, 1080–1102. [CrossRef]
- Pellegrini, P.; Marlière, G.; Rodriguez, J. Optimal train routing and scheduling for managing traffic perturbations in complex junctions. Transp. Res. Part B Methodol. 2014, 59, 58–80. [CrossRef]
Paper not yet in RePEc: Add citation now
- Schöbel, A. A model for the delay management problem based on mixed-integer-programming. Electron. Notes Theor. Comput. Sci. 2001, 50, 1–10. [CrossRef]
Paper not yet in RePEc: Add citation now
Törnquist, J.; Persson, J.A. N-tracked railway traffic re-scheduling during disturbances. Transp. Res. Part B Methodol. 2007, 41, 342–362. [CrossRef]
- Wang, P.; Goverde, R.M. Multi-train trajectory optimization for energy efficiency and delay recovery on single-track railway lines. Transp. Res. Part B Methodol. 2017, 105, 340–361. [CrossRef]
Paper not yet in RePEc: Add citation now
Wu, W.; Lin, Y.; Liu, R.; Jin, W. The multi-depot electric vehicle scheduling problem with power grid characteristics. Transp. Res. Part B Methodol. 2022, 155, 322–347. [CrossRef]
- Wu, W.; Liu, R.; Jin, W. Modelling bus bunching and holding control with vehicle overtaking and distributed passenger boarding behaviour. Transp. Res. Part B Methodol. 2017, 104, 175–197. [CrossRef]
Paper not yet in RePEc: Add citation now
- Xu, P.; Corman, F.; Peng, Q.; Luan, X. A train rescheduling model integrating speed management during disruptions of high-speed traffic under a quasi-moving block system. Transp. Res. Part B Methodol. 2017, 104, 638–666. [CrossRef]
Paper not yet in RePEc: Add citation now
Yang, L.; Zhou, X.; Gao, Z. Credibility-based rescheduling model in a double-track railway network: A fuzzy reliable optimization approach. Omega 2014, 48, 75–93. [CrossRef]
- Yuan, J.; Jones, D.; Nicholson, G. Flexible real-time railway crew rescheduling using depth-first Search. J. Rail Transp. Plan. Manag. 2022, 24, 100353. [CrossRef]
Paper not yet in RePEc: Add citation now
- Zhan, S.; Kroon, L.G.; Veelenturf, L.P.; Wagenaar, J.C. Real-time high-speed train rescheduling in case of a complete blockage. Transp. Res. Part B Methodol. 2015, 78, 182–201. [CrossRef]
Paper not yet in RePEc: Add citation now
- Zhan, S.; Wong, S.; Shang, P.; Lo, S. Train rescheduling in a major disruption on a high-speed railway network with seat reservation. Transp. A Transp. Sci. 2022, 18, 532–567. [CrossRef]
Paper not yet in RePEc: Add citation now
- Zhang, C.; Gao, Y.; Cacchiani, V.; Yang, L.; Gao, Z. Train rescheduling for large-scale disruptions in a large-scale railway network. Transp. Res. Part B Methodol. 2023, 174, 102786. [CrossRef] Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
Paper not yet in RePEc: Add citation now