dc.creatorCueva-Fernandez, Guillermo
dc.creatorPascual Espada, Jordán
dc.creatorGarcía-Díaz, Vicente
dc.creatorGonzalezRodriguez, Martin
dc.date.accessioned2020-01-14T09:56:46Z
dc.date.accessioned2023-03-07T19:25:41Z
dc.date.available2020-01-14T09:56:46Z
dc.date.available2023-03-07T19:25:41Z
dc.date.created2020-01-14T09:56:46Z
dc.identifier1989-1660
dc.identifierhttps://reunir.unir.net/handle/123456789/9700
dc.identifierhttp://dx.doi.org/10.9781/ijimai.2013.223
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5904063
dc.description.abstractSmartphones can provide coverage in large areas all around the world and with the availability of powerful operating systems they can become solid sensing infrastructures. In fact, static sensors are hard to deploy and maintain while modern mobile devices include many sensors that can be used to sense and benefit from collaborative communities. This project tries to improve urban computing by developing a framework able to create monitoring applications for mobile devices, focusing on obtaining the highest degree of interoperability between sensors. A prototype application has been developed to demonstrate the feasibility of creating multidisciplinary applications with several different approaches. The application developed consists of a Road Roughness Information System that measures smoothness and detects irregularities on the roads.
dc.languageeng
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)
dc.relation;vol. 02, nº 02
dc.relationhttps://www.ijimai.org/journal/node/462
dc.rightsopenAccess
dc.subjectOBD
dc.subjectinternet of things
dc.subjecturban computing
dc.subjectvehicle
dc.subjectIJIMAI
dc.titleKuruma: The Vehicle Automatic Data Capture for Urban Computing Collaborative Systems
dc.typearticle


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