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 |
| Appears in Collections: | Artículos |
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