Combining heterogeneous data sources for spatio-temporal mobility demand forecasting

Ignacio-Iker Prado-Rujas, Emilio Serrano, Antonio García Dopico, M. Luisa Córdoba, María S. Pérez

Abstract: Highlights•Heterogeneous data is combined for spatio-temporal mobility demand forecasting.•ST-MDF model forecasts mobility demand for several mobility services and horizons.•Mobility mesh-grids provide high-resolution spatio-temporal information.•ST-MDF is inherently flexible and robust, besides beating several baselines.