Predicting Delayed Train Trajectories on the Dutch Railway Network: Explainable AI Evaluation of Topological, Operational and Weather Features with Tree Based Ensemble Methods
Tree-based models using many features improve predictions for train delays within a single month but significantly degrade when predicting delays for future months. This degradation is caused by unstable environmental data and feature volatility, showing that simply adding more features doesn't guarantee long-term accuracy.