Publication:
WATI: Warning of Traffic Incidents for fuel saving

Simple item page
dc.affiliation.dptoUC3M. Departamento de Ingeniería Telemáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Aplicaciones y Servicios Telemáticos (GAST)es
dc.contributor.authorCorcoba Magaña, Víctor
dc.contributor.authorMuñoz Organero, Mario
dc.date.accessioned2018-02-22T16:35:50Z
dc.date.available2018-02-22T16:35:50Z
dc.date.issued2016-01-01
dc.description.abstractTraffic incidents (heavy traffic, adverse weather conditions, and traffic accidents) cause an increase in the frequency and intensity of the acceleration and deceleration. The result is a very significant increase in fuel consumption. In this paper, we propose a solution to reduce the impact of such events on energy consumption. The solution detects the traffic incidents based on measured telemetry data from vehicles and the different driver profiles. The proposal takes into account the rolling resistance coefficient, the road slope angle, and the vehicles speeds, from vehicles which are on the scene of the traffic incident, in order to estimate the optimal deceleration profile. Adapted advice and feedback are provided to the drivers in order to appropriately and timely release the accelerator pedal. The expert system is implemented on Android mobile devices and has been validated using a dataset of 150 tests using 15 different drivers. The main contribution of this paper is the proposal of a system to detect traffic incidents and provide an optimal deceleration pattern for the driver to follow without requiring sensors on the road. The results show an improvement on the fuel consumption of up to 13.47%.en
dc.description.sponsorshipThe research leading to these results has received funding from “HERMES-SMART DRIVER” Project TIN2013-46801-C4-2-R within the Spanish “Plan Nacional de I+D+I” funded by the Spanish Ministerio de Economía y Competitividad, from Grant PRX15/00036 for the “Estancias de movilidad de profesores e investigadores seniores en centros extranjeros de enseñanza superior e investigación” from the Ministerio de Educación, Cultura y Deporte and from the Spanish Ministerio de Economía y Competitividad funded projects (cofinanced by the Fondo Europeo de Desarrollo Regional (FEDER)), IRENE (PT-2012-1036-370000), COMINN (IPT-2012-0883-430000), and REMEDISS (IPT-2012-0882-430000) within the INNPACTO program.en
dc.format.extent16
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationMobile Information Systems, 2016 (3091516), pp. 16
dc.identifier.doihttps://doi.org/10.1155/2016/3091516
dc.identifier.issn1574-017X
dc.identifier.publicationfirstpage1
dc.identifier.publicationlastpage16
dc.identifier.publicationtitleJournal of Mobile Information Systems
dc.identifier.publicationvolume2016 (3091516)
dc.identifier.urihttps://hdl.handle.net/10016/25402
dc.identifier.uxxiAR/0000017787
dc.language.isoeng
dc.publisherHindawi
dc.relation.projectIDGobierno de España. TIN2013-46801-C4-2-R
dc.relation.projectIDGobierno de España. PRX15/00036
dc.relation.projectIDGobierno de España. PT-2012-1036-370000
dc.relation.projectIDGobierno de España. IPT-2012-0883-430000
dc.relation.projectIDGobierno de España. IPT-2012-0882-430000
dc.rights© 2016 V. Corcoba Magaña and M. Muñoz-Organero. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherTraffic incidentsen
dc.subject.otherFuel consumptionen
dc.subject.otherOptimal deceleration patternen
dc.subject.otherEcodrivingen
dc.titleWATI: Warning of Traffic Incidents for fuel savingen
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
wati_MIS_2016.pdf
Size:
770.75 KB
Format:
Adobe Portable Document Format
Download
Collections
DIT - GAST - Artículos de Revistas