Combining heterogeneous data sources for spatio-temporal mobility demand forecasting

Prado Rujas, Ignacio Iker|||0000-0003-4018-8725; Serrano Fernández, Emilio|||0000-0001-7587-0703; García Dopico, Antonio|||0000-0001-7373-7853; Córdoba Cabeza, María Luisa|||0000-0003-0988-233X; Pérez Hernández, María de los Santos|||0000-0003-2949-3307

Combining heterogeneous data sources for spatio-temporal mobility demand forecasting

Bibliographic Details
Authors:	Prado Rujas, Ignacio Iker\|\|\|0000-0003-4018-8725, Serrano Fernández, Emilio\|\|\|0000-0001-7587-0703, García Dopico, Antonio\|\|\|0000-0001-7373-7853, Córdoba Cabeza, María Luisa\|\|\|0000-0003-0988-233X, Pérez Hernández, María de los Santos\|\|\|0000-0003-2949-3307
Format:	article
Publication Date:	2023
Country:	España
Institution:	Universidad Politécnica de Madrid
Repository:	Archivo Digital UPM
OAI Identifier:	oai:oa.upm.es:92415
Online Access:	https://oa.upm.es/92415/
Access Level:	Open access
Keyword:	Mobility demand Spatio-temporal forecasting Multi-sensor information Deep learning

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Combining heterogeneous data sources for spatio-temporal mobility demand forecasting

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