A Mixed-integer Linear Program for Real-time Train Platforming Management

Unexpected events may perturb operations and generate conflicts that must be addressed promptly to limit delay propagation other negative impacts on the network. The real-time railway traffic management problem deals with disruptions in networks, including tracks, junctions stations. When they happen station areas, new decisions involving train platforming, rerouting, ordering timing made real time. This paper explores a mesoscopic approach deal at rail A mathematical programming-based model is proposed determine re-routing re-scheduling for area. key steps of approach, which simulate what happens management, are: i) an initial off-line preprocessing stage set feasible routes originally planned, ii) second analyses disruption sets necessary parameters last step iii), consists integer programming seeks solutions minimise deviations from planned schedules assigns appropriate platforms (if necessary). Computational experiments show realistic instances can solved near optimality using CPLEX very short times. allows consider this methodology solving time problems.