Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/43566
Título: Applying ambient intelligence to improve public road transport
Autores/as: Padrón, Gabino 
García, Carmelo R. 
Quesada-Arencibia, Alexis 
Alayón, Francisco 
Pérez, Ricardo 
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: 2013
Publicación seriada: Lecture Notes in Computer Science 
Conferencia: 7th International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2013 
Resumen: This paper described the smart system that is executed on board the vehicles of the fleet of a public transport company whose mission is to help the regulating authorities to control, verify and enhance the public transport service. This system is autonomous and does not interfere in the operations carried out by the vehicle; it provides useful data obtained transparently from drivers and passengers, using different sensors installed in the vehicle. The system has been used in several vehicles of the public transport fleet’s in real operational conditions and some of the results obtained are presented here.
URI: http://hdl.handle.net/10553/43566
ISBN: 978-3-319-03175-0
ISSN: 0302-9743
DOI: 10.1007/978-3-319-03176-7_42
Fuente: Urzaiz G., Ochoa S.F., Bravo J., Chen L.L., Oliveira J. (eds) Ubiquitous Computing and Ambient Intelligence. Context-Awareness and Context-Driven Interaction. Lecture Notes in Computer Science, vol 8276. Springer, Cham
Colección:Actas de congresos
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