Learning railways for better schedules
Mobility Initiative Project (MI-01-23)
The problem of organising high-performant railway services is essentially a scheduling problem, assigning scarce infrastructure resources to a series of trains so that both the number of trains (capacity) and performance are maximized. Performance KPIs are considered for both passengers and operators in terms of speed or travel time. Automated scheduling approaches exist in academia and practice. Though, they face a hard trade-off between the speed of computation (the faster, the better); the detail of the mathematical model considered (considering signals); and the scale of the instance solved (one station or one corridor; multiple stations; wide regions or an entire country). Read more
