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dc.contributor.authorRevuelta Herrero, Jorge
dc.contributor.authorVillarrubia González, Gabriel 
dc.contributor.authorLópez Barriuso, Alberto 
dc.contributor.authorHernández de la Iglesia, Daniel
dc.contributor.authorLozano Murciego, Álvaro 
dc.contributor.authorde la Serna González, Marco A.
dc.date.accessioned2017-09-06T09:15:31Z
dc.date.available2017-09-06T09:15:31Z
dc.date.issued2016/06
dc.identifier.citationTrends in Practical Applications of Scalable Multi-Agent Systems, the PAAMS Collection. Advances in Intelligent Systems and Computing. Volumen 473, pp. 125-134.
dc.identifier.isbn978-3-319-40158-4; 978-3-319-40159-1 (electronic)
dc.identifier.issn2194-5357
dc.identifier.urihttp://hdl.handle.net/10366/134992
dc.description.abstractDuring the last years, great advances has been produced in the automotive industry, a strategic sector both nationally and internationally with a high socioeconomic impact. Many efforts have focused on providing smart environments to the final user in vehicles such as cars, capable of detecting contextual vehicle’s conditions and adapting automatically to the user needs. This paper proposes an innovative solution in the automotive field consisting of a new product family which allows the transformation of a traditional bicycle to an electric bicycle by an architecture that provides the user intelligent adaptive environments and significantly improve the driving experience design enabling value-added services.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherSpringer International Publishing
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputer Science
dc.titleNew Architecture for Electric Bikes Control Based on Smartphones and Wireless Sensors
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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Attribution-NonCommercial-NoDerivs 3.0 Unported
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