Author:
Zhang Hengkai,Liu Xiaoyu,Sun Dingshan,Dabiri Azita,De Schutter Bart
Reference22 articles.
1. A branch and bound algorithm for scheduling trains in a railway network;D’Ariano;European Journal of Operational Research,2007
2. A survey on problem models and solution approaches to rescheduling in railway networks;Fang;IEEE Transactions on Intelligent Transportation Systems,2015
3. Fu, J., Sun, D., Peyghami, S., and Blaabjerg, F. (2024). A novel reinforcement-learning-based compensation strategy for dmpc-based day-ahead energy management of shipboard power systems. IEEE Transactions on Smart Grid. doi:10.1109/TSG.2024.3382213.
4. A scalable reinforcement learning algorithm for scheduling railway lines;Khadilkar;IEEE Transactions on Intelligent Transportation Systems,2019
5. Modeling and efficient passenger-oriented control for urban rail transit networks;Liu;IEEE Transactions on Intelligent Transportation Systems,2023