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Recommender system for drivers of electric vehicles

Bibliographic Details
Main Author: Ferreira, João C.
Publication Date: 2011
Other Authors: Pereira, Pedro, Porfírio, Filipe, Afonso, João L.
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/1822/19442
Summary: Being the next big step in automobile industry, electric vehicles continue to have limited autonomy which associated with the long charging times, limited charging stations and undeveloped smart grid infrastructure demands for a hard planning of the daily use of the vehicle. This paper presents an information system that will help the driver in the daily use of his electric vehicle, minimizing the problem of range anxiety thru the continuous control of the vehicle range and presenting in time relevant information about the charging stations within reach. Given the success of recommendation systems on automatically delivering the relevant information in numerous areas of usage, it can be applied in this scenario as well as with the objective of maximizing the relevance of the information presented to the driver, which should be the strictly needed for him to make his decisions filtering out the unnecessary one.
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spelling Recommender system for drivers of electric vehiclesRecommender systemElectric vehicleUser profileBeing the next big step in automobile industry, electric vehicles continue to have limited autonomy which associated with the long charging times, limited charging stations and undeveloped smart grid infrastructure demands for a hard planning of the daily use of the vehicle. This paper presents an information system that will help the driver in the daily use of his electric vehicle, minimizing the problem of range anxiety thru the continuous control of the vehicle range and presenting in time relevant information about the charging stations within reach. Given the success of recommendation systems on automatically delivering the relevant information in numerous areas of usage, it can be applied in this scenario as well as with the objective of maximizing the relevance of the information presented to the driver, which should be the strictly needed for him to make his decisions filtering out the unnecessary one.Fundação para a Ciência e a Tecnologia (FCT)Universidade do MinhoFerreira, João C.Pereira, PedroPorfírio, FilipeAfonso, João L.2011-042011-04-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/19442eng978-1-4244-8678-610.1109/ICECTECH.2011.5941995info: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:RCAAP2024-05-11T04:33:23Zoai:repositorium.sdum.uminho.pt:1822/19442Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T14:51:51.306965Repositórios 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 Recommender system for drivers of electric vehicles
title Recommender system for drivers of electric vehicles
spellingShingle Recommender system for drivers of electric vehicles
Ferreira, João C.
Recommender system
Electric vehicle
User profile
title_short Recommender system for drivers of electric vehicles
title_full Recommender system for drivers of electric vehicles
title_fullStr Recommender system for drivers of electric vehicles
title_full_unstemmed Recommender system for drivers of electric vehicles
title_sort Recommender system for drivers of electric vehicles
author Ferreira, João C.
author_facet Ferreira, João C.
Pereira, Pedro
Porfírio, Filipe
Afonso, João L.
author_role author
author2 Pereira, Pedro
Porfírio, Filipe
Afonso, João L.
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Ferreira, João C.
Pereira, Pedro
Porfírio, Filipe
Afonso, João L.
dc.subject.por.fl_str_mv Recommender system
Electric vehicle
User profile
topic Recommender system
Electric vehicle
User profile
description Being the next big step in automobile industry, electric vehicles continue to have limited autonomy which associated with the long charging times, limited charging stations and undeveloped smart grid infrastructure demands for a hard planning of the daily use of the vehicle. This paper presents an information system that will help the driver in the daily use of his electric vehicle, minimizing the problem of range anxiety thru the continuous control of the vehicle range and presenting in time relevant information about the charging stations within reach. Given the success of recommendation systems on automatically delivering the relevant information in numerous areas of usage, it can be applied in this scenario as well as with the objective of maximizing the relevance of the information presented to the driver, which should be the strictly needed for him to make his decisions filtering out the unnecessary one.
publishDate 2011
dc.date.none.fl_str_mv 2011-04
2011-04-01T00:00:00Z
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/1822/19442
url http://hdl.handle.net/1822/19442
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 978-1-4244-8678-6
10.1109/ICECTECH.2011.5941995
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
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instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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repository.mail.fl_str_mv info@rcaap.pt
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