Coordinated Decision Making for High-Speed Railway Train Timetable Rescheduling and Trajectory Control: Architecture, Algorithms, Simulation, and Applications

During emergency response in high-speed railway operations, dispatchers and drivers currently rely on individual experience for decision making, lacking effective coordination between train timetable rescheduling and trajectory control. This results in a train timetable with insufficient precision, failing to provide a global train trajectory, and ultimately making it difficult to handle train delays caused by emergencies promptly. To address this practical problem, this article constructs a novel architecture and proposes a real-time algorithm for coordinated decision making for train timetable rescheduling and trajectory control (CDM-TTRTC). The simulation and application experiments show that compared to the noncoordinated method using manual experience, the proposed CDM-TTRTC algorithm can reduce the total train delay by 17.18% and total energy consumption by 5.82%. In addition, it can generate a train timetable and multitrain trajectory within 3.49 s, providing dispatchers and drivers with more reasonable and efficient decision support.