Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/121746
Título: On Smart Mobility and Data Stream Mining
Autores/as: Sanchez-Medina, Javier J. 
Guerra-Montenegro, Juan Antonio 
Sánchez-Medina, Agustín J. 
Alonso-González, Itziar G. 
Sánchez-Rodríguez, David 
Clasificación UNESCO: 3325 Tecnología de las telecomunicaciones
Palabras clave: Data Stream Mining
On-Line Learning
Smart Mobility
Fecha de publicación: 2022
Editor/a: Springer 
Proyectos: Plataforma de localización y monitorización para un turismo accesible 
Publicación seriada: Lecture Notes In Computer Science (Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics)
Conferencia: 18th International Conference on Computer Aided Systems Theory, EUROCAST 2022 
Resumen: Smart Mobility is a concept within Smart Cities, which are “cities in which ICT is merged with traditional infrastructures, coordinated and integrated using new digital technologies” [9]. According to the United Nations 2/3 of world population is expected to live in cities by 2050. Therefore, mobility is a keystone for providing citizens access to services. In this context, Smart Mobility allows to make the most from a multi-modal transportation planning [10], while providing urban managers and planners data intensive decision making support tools.
URI: http://hdl.handle.net/10553/121746
ISBN: 9783031253119
ISSN: 0302-9743
DOI: 10.1007/978-3-031-25312-6_44
Fuente: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 13789 LNCS, p. 378-383, (Enero 2022)
Colección:Actas de congresos
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actualizado el 22-jul-2023

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