Enhancing freight train delay prediction with simulation‐assisted machine learning

Abstract Boosting the rail freight modal share is an ambitious target in Europe and North America. Yards, where freight trains are arranged, can be crucial in realizing this target by reliable dispatching to the network. This paper predicts freight train departures by developing a simulation‐assiste...

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Bibliographic Details
Main Authors: Niloofar Minbashi, Jiaxi Zhao, C. Tyler Dick, Markus Bohlin
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:IET Intelligent Transport Systems
Subjects:
Online Access:https://doi.org/10.1049/itr2.12573
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