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cs.LG2026
Hierarchical Forecast Reconciliation for Urban Rail Transit Demand Prediction under Operational Disruptions
Dang Viet Anh Nguyen, Alma Fazlagic, Kristine Pryds Loft +1
Accurate and coherent passenger demand forecasting is essential for Urban Rail Transit (URT) operations. Passenger demand is hierarchical: origin--destination (OD) flows aggregate…
cs.LG2026
Time Series Foundation Models as Strong Baselines in Transportation Forecasting: A Large-Scale Benchmark Analysis
Javier Yanes-Pulido, Filipe Rodrigues
Accurate forecasting of transportation dynamics is essential for urban mobility and infrastructure planning. Although recent work has achieved strong performance with deep learning…