Heterogeneous Machine Learning Ensembles for Predicting Train Delays
Mostafa Al Ghamdi,
Gerard Parr,
Wenjia Wang
Abstract:Train delays have been a serious persisting problem in the UK and also many other countries. Due to increasing demand, rail networks are running close to their full capacity. As a consequence, an initial delay can cause many knock-on delays to other trains, and this is the main reason for the overall deterioration in the performance of the rail networks. Therefore, it is really useful to have an AI-based method that can predict delays accurately and reliably, to help train controllers to make and apply alterna… Show more
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