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Mixed-Integer Linear Programming Models for Coordinated Train Timetabling with Dynamic Demand.

, , , , , and . ITSC, page 863-868. IEEE, (2019)

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A Bi-Level Approach for the Metro Train Scheduling Problem Considering Passenger Behaviors., , , and . ITSC, page 2194-2199. IEEE, (2022)Train cooperative control for headway adjustment in high-speed railways., , , and . Intelligent Vehicles Symposium, page 328-333. IEEE, (2017)A Robust Optimization Approach for Trains Schedule Problem under Uncertain Maintenance Plans., , and . ITSC, page 2246-2251. IEEE, (2022)Intelligent Train Operation Algorithms for Subway by Expert System and Reinforcement Learning., , and . IEEE Trans. Intell. Transp. Syst., 15 (6): 2561-2571 (2014)Online adjusting subway timetable by q-learning to save energy consumption in uncertain passenger demand., , , and . ITSC, page 2743-2748. IEEE, (2014)A Bi-Objective Optimization Model for Coordinated Train Timetabling in Rail Transit Networks., , , , , , and . ITSC, page 2350-2355. IEEE, (2021)Mixed-Integer Linear Programming Models for Coordinated Train Timetabling with Dynamic Demand., , , , , and . ITSC, page 863-868. IEEE, (2019)A Real-Time Rescheduling Approach Using Loop Iteration for High-Speed Railway Traffic., , , , and . IEEE Intell. Transp. Syst. Mag., 15 (1): 318-332 (2023)Efficient Real-Time Train Operation Algorithms With Uncertain Passenger Demands., , , , and . IEEE Trans. Intell. Transp. Syst., 17 (9): 2600-2612 (2016)A Deep Reinforcement Learning Approach for the Traffic Management of High-Speed Railways., , , , and . ITSC, page 2368-2373. IEEE, (2021)