Author

Alma Fazlagic

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#machine learning Jun 2026

Hierarchical Forecast Reconciliation for Urban Rail Transit Demand Prediction under Operational Disruptions

Under train delays and cancellations, reconciliation continues to improve OD accuracy, with FCR achieving larger reductions than MinT-Sample in disruption-affected subsets, highlighting the value of hierarchical reconciliation under both regular and disrupted operations.

Dang Viet Anh Nguyen, Alma Fazlagic, Kristín Loft et al. · arXiv.org · 0 citations