The following publications are possibly variants of this publication:
- A Policy-Based Reinforcement Learning Approach for High-Speed Railway Timetable ReschedulingYin Wang, Yisheng Lv, Jianying Zhou, Zhiming Yuan, Qi Zhang, Min Zhou. itsc 2021: 2362-2367 [doi]
- Dynamic and robust timetable rescheduling for uncertain railway disruptionsYongqiu Zhu, Rob M. P. Goverde. jrtpm, 15:100196, 2020. [doi]
- An evaluation of the fairness of railway timetable rescheduling in the presence of competition between train operatorsEdwin Reynolds, Matthias Ehrgott, Judith Y. T. Wang. jrtpm, 26:100389, 2023. [doi]
- A Memetic Algorithm for High-Speed Railway Train Timetable ReschedulingShuxin Ding, Tao Zhang, Ziyuan Liu, Rongsheng Wang, Sai Lu, Bin Xin 0002, Zhiming Yuan. jaciii, 26(3):407-417, 2022. [doi]
- Transformer-Based Macroscopic Regulation for High-Speed Railway Timetable ReschedulingWei Xu, Chen Zhao, Jie Cheng, Yin Wang, Yiqing Tang, Tao Zhang, Zhiming Yuan, Yisheng Lv, Fei-Yue Wang 0001. ieeejas, 10(9):1822-1833, September 2023. [doi]
- A Timetable Rescheduling Approach for Railway based on Monte Carlo Tree SearchRongsheng Wang, Min Zhou 0003, Yidong Li, Qi Zhang, Hairong Dong. itsc 2019: 3738-3743 [doi]
- Railway Timetable Rescheduling Based on Priority and Train Order EntropyJianwei Huo, Jianjun Wu, Liujiang Kang, Bo Wang. jccee, 30(5), 2016. [doi]
- Integrated train timetabling and rolling stock rescheduling for a disturbed metro system: A hybrid deep reinforcement learning and adaptive large neighborhood search approachBoyi Su, Andrea D'Ariano, Shuai Su, Xuekai Wang, Tao Tang 0004. candie, 186:109742, December 2023. [doi]