Please use this identifier to cite or link to this item: https://accedacris.ulpgc.es/jspui/handle/10553/121746
Title: On Smart Mobility and Data Stream Mining
Authors: Sanchez-Medina, Javier J. 
Guerra-Montenegro, Juan Antonio 
Sánchez-Medina, Agustín J. 
Alonso-González, Itziar G. 
Sánchez-Rodríguez, David 
UNESCO Clasification: 3325 Tecnología de las telecomunicaciones
Keywords: Data Stream Mining
On-Line Learning
Smart Mobility
Issue Date: 2023
Publisher: Springer 
Project: Plataforma de localización y monitorización para un turismo accesible 
Journal: Lecture Notes in Computer Science 
Conference: 18th International Conference on Computer Aided Systems Theory, EUROCAST 2022 
Abstract: 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: https://accedacris.ulpgc.es/handle/10553/121746
ISBN: 9783031253119
ISSN: 0302-9743
DOI: 10.1007/978-3-031-25312-6_44
Source: 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, (Febrero 2023)
Appears in Collections:Actas de congresos
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