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Multivariate event hypergraph diffusion model for train delay prediction
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DOI：10.1016/j.trc.2025.105390.png)
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Abstract
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• Propose a novel framework for regional-level multi-train delay prediction. • Model the cross-regional operation scenarios of trains using an event mixed hypergraph. • Utilize an improved diffusion model to learn the generation mechanism of train arrival events. • This model performs well in predictive accuracy and in multi-train delay prediction scenarios.
Keywords:
Train delay prediction
Denoising diffusion probabilistic models
Regional-level multi-train operation
High-order correlations
Non-Euclidean characteristics
Mixed hypergraph convolution
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