most citedSolving the single-track train scheduling problem via Deep Reinforcement Learning

24 citations · 24 across the 2 of their papers we have counts for

collaborators

2 papers

math.OC2025

Optimizing train dispatching for the Union Pacific Railroad

Maurizio Boccia, Veronica Dal Sasso, Leonardo Lamorgese +2

Union Pacific (UP) is one of the largest transportation companies in the world, with over 50.000 kms of rail network covering 23 states in the United States. In 2017 Union Pacific…

cs.AI2020★ 24 cited

Solving the single-track train scheduling problem via Deep Reinforcement Learning

Valerio Agasucci, Giorgio Grani, Leonardo Lamorgese

Every day, railways experience disturbances and disruptions, both on the network and the fleet side, that affect the stability of rail traffic. Induced delays propagate through the…