This paper proposes a Reinforcement Learning (RL) formulation of the Train Timetable Rescheduling problem at a microscopic scale under unexpected events, particularly track blockages, with the goal of ...

This paper proposes an event-triggered mechanism-based multi-mode platoon control model that can adaptively adjust the control mode based on traffic conditions and platoon dynamics. The proposed model ...