Interesting application. Consider data availability, accuracy and variability of prediction.
Predicting British railway delays using artificial intelligence by University of Illinois at Urbana-Champaign
Over the past 20 years, the number of passengers traveling on British train networks has almost doubled to 1.7 billion annually. With numbers like that it's clear how much people rely on rail service in Great Britain, and how many disgruntled patrons there would be when delays occur. A recent study from the University of Illinois Urbana-Champaign used real British Railway data and an artificial intelligence model to improve the ability to predict delays in railway networks.
"We wanted to explore this problem using our experience with graph neural networks," said Huy Tran, an aerospace engineering faculty member at UIUC. "These are a specific class of artificial intelligence models that focus on data modeled as a graph, where a set of nodes are connected by edges." ... "
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