Electric vehicle route recommender system

Bibliographic Details
Main Author: Ferreira, João C.
Publication Date: 2012
Other Authors: Monteiro, Vítor Duarte Fernandes, Afonso, João L.
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/1822/19443
Summary: This paper presents a recommender system responsible for processing information that will help the driver in the daily use of his Electric Vehicle (EV), minimizing the problem of range anxiety through a personalized range prediction and by presenting in real time relevant information about the charging stations that can be reached within the range autonomy. Given the success of recommendation systems on automatic delivery of relevant information in numerous areas of usage, this type of systems can also be applied in the electric mobility scenario, with the objective of maximizing the relevance of the information presented to the driver, which should be the strictly needed data for the driver to make important decisions, filtering out the unnecessary information.
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spelling Electric vehicle route recommender systemElectric vehicleRecomender systemRange predictionDriver profileThis paper presents a recommender system responsible for processing information that will help the driver in the daily use of his Electric Vehicle (EV), minimizing the problem of range anxiety through a personalized range prediction and by presenting in real time relevant information about the charging stations that can be reached within the range autonomy. Given the success of recommendation systems on automatic delivery of relevant information in numerous areas of usage, this type of systems can also be applied in the electric mobility scenario, with the objective of maximizing the relevance of the information presented to the driver, which should be the strictly needed data for the driver to make important decisions, filtering out the unnecessary information.This work is financed by FEDER Funds, through the Operational Programme for Competitiveness Factors – COMPETE, and by National Funds through FCT – Foundation for Science and Technology of Portugal, under the project PTDC/EEA-EEL/104569/2008 and the project MIT-PT/EDAM-SMS/0030/2008.Universidade do MinhoFerreira, João C.Monteiro, Vítor Duarte FernandesAfonso, João L.2012-042012-04-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/19443eng9789898565099info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T06:26:40Zoai:repositorium.sdum.uminho.pt:1822/19443Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T15:53:35.672191Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Electric vehicle route recommender system
title Electric vehicle route recommender system
spellingShingle Electric vehicle route recommender system
Ferreira, João C.
Electric vehicle
Recomender system
Range prediction
Driver profile
title_short Electric vehicle route recommender system
title_full Electric vehicle route recommender system
title_fullStr Electric vehicle route recommender system
title_full_unstemmed Electric vehicle route recommender system
title_sort Electric vehicle route recommender system
author Ferreira, João C.
author_facet Ferreira, João C.
Monteiro, Vítor Duarte Fernandes
Afonso, João L.
author_role author
author2 Monteiro, Vítor Duarte Fernandes
Afonso, João L.
author2_role author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Ferreira, João C.
Monteiro, Vítor Duarte Fernandes
Afonso, João L.
dc.subject.por.fl_str_mv Electric vehicle
Recomender system
Range prediction
Driver profile
topic Electric vehicle
Recomender system
Range prediction
Driver profile
description This paper presents a recommender system responsible for processing information that will help the driver in the daily use of his Electric Vehicle (EV), minimizing the problem of range anxiety through a personalized range prediction and by presenting in real time relevant information about the charging stations that can be reached within the range autonomy. Given the success of recommendation systems on automatic delivery of relevant information in numerous areas of usage, this type of systems can also be applied in the electric mobility scenario, with the objective of maximizing the relevance of the information presented to the driver, which should be the strictly needed data for the driver to make important decisions, filtering out the unnecessary information.
publishDate 2012
dc.date.none.fl_str_mv 2012-04
2012-04-01T00:00:00Z
dc.type.driver.fl_str_mv conference paper
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/19443
url http://hdl.handle.net/1822/19443
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 9789898565099
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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repository.mail.fl_str_mv info@rcaap.pt
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