Quantifying the dynamic predictability of train delay with uncertainty-aware neural networks

Spanninger, Thomas; Wiedemann, Nina; Corman, Francesco

doi:10.1016/j.trc.2024.104563

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Quantifying the dynamic predictability of train delay with uncertainty-aware neural networks

Cited by 3 publications

References 32 publications

High-Speed Train Delay Propagation and Prediction Based on Markov Chains and Ensemble Learning

High-Speed Train Delay Propagation and Prediction Based on Markov Chains and Ensemble Learning

Handling uncertainty in train timetable rescheduling: A review of the literature and future research directions

Probabilistic Modeling of Train Operations for Uncertainty Quantification: A Context-Aware Bayesian Network Approach

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