A horizon-aware Prophet model forecasts rail passenger assistance demand and feeds into a risk-based staffing framework, cutting forecast error by up to 76.9% and halving failed assistance deliveries.
Clustering railway passenger demand patterns from large-scale origin–destination data
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Horizon-Aware Forecasting of Passenger Assistance Demand for Rail Station Workforce Planning
A horizon-aware Prophet model forecasts rail passenger assistance demand and feeds into a risk-based staffing framework, cutting forecast error by up to 76.9% and halving failed assistance deliveries.