Dynamic Optimization for High-Speed Rail Scheduling: A Novel Human–Computer Interaction Paradigm

Trains usually adhere to their schedules, but unforeseen events can disrupt the traffic flow, leading to deviations from the original train schedule. This research introduces a ground-breaking human–computer interaction framework designed to assist railway dispatchers in reorganizing train schedules. With the aid of this system, train dispatchers can propose various modifications to the timetable. The embedded mathematical model is adjusted and recalculated, resulting in the generation of a new, revised timetable. Dispatchers can then review and make necessary adjustments to the revised timetable. Depending on the dispatchers’ objectives, this framework allows for an unlimited number of iterations until a suitable solution is achieved. The implementation of this architecture led to the creation of the RTARS by the Beijing Railway Administration, effectively demonstrating the system’s practical efficacy.