Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/43565
Title: Using ambient intelligence to improve public transport accessibility
Authors: García, Carmelo R. 
Quesada-Arencibia, Alexis 
Cristóbal, Teresa
Padrón, Gabino 
Pérez, Ricardo 
Alayón, Francisco 
UNESCO Clasification: 120304 Inteligencia artificial
3327 Tecnología de los sistemas de transporte
Keywords: Ambient intelligence
Ubiquitous computing
Ubiquitous data management
Intelligent transport systems
Issue Date: 2014
Journal: Lecture Notes in Computer Science 
Abstract: 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
Source: 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
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