Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/43565
Título: Using ambient intelligence to improve public transport accessibility
Autores/as: García, Carmelo R. 
Quesada-Arencibia, Alexis 
Cristóbal, Teresa
Padrón, Gabino 
Pérez, Ricardo 
Alayón, Francisco 
Clasificación UNESCO: 120304 Inteligencia artificial
3327 Tecnología de los sistemas de transporte
Palabras clave: Ambient intelligence
Ubiquitous computing
Ubiquitous data management
Intelligent transport systems
Fecha de publicación: 2014
Publicación seriada: Lecture Notes in Computer Science 
Resumen: This paper described how ubiquitous computing and ambient intelligence can be applied in order to make more accessible the public road transport for people with special needs. The main goal of the proposed system is to assist to this kind of people during the trips. This system is autonomous and does not affect the common operations carried out in the public transport infrastructure; it provides useful data obtained transparently, using different sensors installed in the infrastructure.
URI: http://hdl.handle.net/10553/43565
ISBN: 978-3-319-13101-6
ISSN: 0302-9743
DOI: 10.1007/978-3-319-13102-3_4
Fuente: Hervás R., Lee S., Nugent C., Bravo J. (eds) Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services. UCAmI 2014. Lecture Notes in Computer Science, vol 8867. Springer, Cham
Colección:Artículos
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