LESY-ECO: Learning system for eco-driving based on the imitation

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dc.contributor.author Corcoba Magaña, Víctor
dc.contributor.author Muñoz Organero, Mario
dc.date.accessioned 2015-10-27T12:48:43Z
dc.date.available 2015-10-27T12:48:43Z
dc.date.issued 2014-11
dc.identifier.bibliographicCitation Muñoz Organero, Mario; Corcoba Magaña, Victor (2014). LESY-ECO: Learning system for eco-driving based on the imitation. Connected Vehicles and Expo (ICCVE), 2014 International Conference on IEEE, Pages: 351-356
dc.identifier.isbn 978-1-4799-6729-2
dc.identifier.uri http://hdl.handle.net/10016/21854
dc.description Proceedings of 2014 International Conference on Connected Vehicles and Expo (ICCVE,IEEE), took place 2014, November, 03-07, in Viena (Austria).
dc.description.abstract In this paper, we propose a learning method for eco-driving based on imitation. The system uses Data Envelopment Analysis (DEA) in order to calculate the driving efficiency from the point of view of the fuel consumption. The input and output parameters have been selected taking into account the Longitudinal Vehicle Dynamics Model. This technique allows us to notify the user about who is the most efficient driver close to him or her and to suggest the imitation of the behavior of such driver. The proposed method promotes learning by observation and imitation of efficient drivers in a practical rather than theoretical way such as attending eco-driving lessons. The DEA algorithm does not depend on the definition of a preconceived form of the data in order to calculate the efficiency. The DEA algorithm estimates the inefficiency of a particular DMU by comparing it to similar DMUs considered as efficient. This is very important due to the dynamic nature of the traffic. A validation experiment has been conducted with 10 participants who made 500 driving tests in Spain. The results show that combining eco-driving lessons with the proposed learning system, drivers achieve a very significant improvement on fuel saving (15.82%)
dc.description.sponsorship The research leading to these results has received funding from the “HERMES-SMART DRIVER” project TIN2013-46801-C4-2-R within the Spanish "Plan Nacional de I+D+I" under the Spanish Ministerio de Economía y Competitividad and from the Spanish Ministerio de Economía y Competitividad funded projects (co-financed 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.
dc.format.extent 6
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher IEEE
dc.rights © 2014 IEEE
dc.subject.other Eco-driving
dc.subject.other Intelligent transport system
dc.subject.other Data Envelopment Analysis
dc.subject.other Driving assistant
dc.subject.other Learning system
dc.subject.other DEA
dc.title LESY-ECO: Learning system for eco-driving based on the imitation
dc.type bookPart
dc.type conferenceObject
dc.description.status Publicado
dc.relation.publisherversion http://dx.doi.org/10.1109/ICCVE.2014.7297570
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi 10.1109/ICCVE.2014.7297570
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. IPT-2012-0883-430000/COMINN
dc.relation.projectID Gobierno de España. IPT-2012-1036-370000/IRENE
dc.relation.projectID Gobierno de España. IPT-2012-0882-430000/REMEDISS
dc.relation.projectID Gobierno de España. TIN2013-46801-C4-2-R
dc.type.version acceptedVersion
dc.relation.eventdate 2014, November, 03-07
dc.relation.eventplace Viena (Austria)
dc.relation.eventtitle 2014 International Conference on Connected Vehicles and Expo (ICCVE)
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 351
dc.identifier.publicationlastpage 356
dc.identifier.publicationtitle Connected Vehicles and Expo (ICCVE), 2014 International Conference on IEEE
dc.identifier.uxxi CC/0000023997
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