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DrivingStyles: A Mobile Platform for Driving Styles and Fuel Consumption Characterization

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DrivingStyles: A Mobile Platform for Driving Styles and Fuel Consumption Characterization

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dc.contributor.author Meseguer Anastasio, Javier Enrique es_ES
dc.contributor.author Toh, Chai Keong es_ES
dc.contributor.author Tavares de Araujo Cesariny Calafate, Carlos Miguel es_ES
dc.contributor.author Cano, Juan-Carlos es_ES
dc.contributor.author Manzoni, Pietro es_ES
dc.date.accessioned 2018-03-15T05:15:45Z
dc.date.available 2018-03-15T05:15:45Z
dc.date.issued 2017 es_ES
dc.identifier.issn 1229-2370 es_ES
dc.identifier.uri http://hdl.handle.net/10251/99369
dc.description.abstract [EN] Intelligent transportation systems (ITS) rely on connected vehicle applications to address real-world problems. Research is currently being conducted to support safety, mobility and environmental applications. This paper presents the DrivingStyles architecture, which adopts data mining techniques and neural networks to analyze and generate a classification of driving styles and fuel consumption based on driver characterization. In particular, we have implemented an algorithm that is able to characterize the degree of aggressiveness of each driver. We have also developed a methodology to calculate, in real-time, the consumption and environmental impact of spark ignition and diesel vehicles from a set of variables obtained from the vehicle's electronic control unit (ECU). In this paper, we demonstrate the impact of the driving style on fuel consumption, as well as its correlation with the greenhouse gas emissions generated by each vehicle. Overall, our platform is able to assist drivers in correcting their bad driving habits, while offering helpful tips to improve fuel economy and driving safety. es_ES
dc.description.sponsorship This work was partially supported by the Ministerio de Economía y Competitividad, Programa Estatal de Investigación, Desarrollo e Innovación Orientada a los Retos de la Sociedad, Proyectos I+D+I 2014, Spain, under Grant TEC2014-52690-R.
dc.language Inglés es_ES
dc.publisher Institute of Electrical and Electronics Engineers es_ES
dc.relation info:eu-repo/grantAgreement/MINECO//TEC2014-52690-R/ES/INTEGRACION DEL SMARTPHONE Y EL VEHICULO PARA CONECTAR CONDUCTORES, SENSORES Y ENTORNO A TRAVES DE UNA ARQUITECTURA DE SERVICIOS FUNCIONALES/ es_ES
dc.relation.ispartof Journal of Communications and Networks es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Android smartphone es_ES
dc.subject Driving habits es_ES
dc.subject Driving styles es_ES
dc.subject Eco-driving es_ES
dc.subject Fuel consumption es_ES
dc.subject Greenhouse gas emissions es_ES
dc.subject Neural networks es_ES
dc.subject On board diagnostics (OBD-II) es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.title DrivingStyles: A Mobile Platform for Driving Styles and Fuel Consumption Characterization es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1109/JCN.2017.000025 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors es_ES
dc.description.bibliographicCitation Meseguer Anastasio, JE.; Toh, CK.; Tavares De Araujo Cesariny Calafate, CM.; Cano, J.; Manzoni, P. (2017). DrivingStyles: A Mobile Platform for Driving Styles and Fuel Consumption Characterization. Journal of Communications and Networks. 19(2):162-168. doi:10.1109/JCN.2017.000025 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1109/JCN.2017.000025 es_ES
dc.description.upvformatpinicio 162 es_ES
dc.description.upvformatpfin 168 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 19 es_ES
dc.description.issue 2 es_ES
dc.relation.pasarela S\336194 es_ES
dc.contributor.funder Ministerio de Economía, Industria y Competitividad es_ES


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