• DocumentCode
    2044166
  • Title

    Recommender system for drivers of electric vehicles

  • Author

    Ferreira, João ; Pereira, Pedro ; Filipe, Porfírio ; Afonso, João

  • Author_Institution
    GuIAA - ADEETC - ISEL, Lisbon, Portugal
  • Volume
    5
  • fYear
    2011
  • fDate
    8-10 April 2011
  • Firstpage
    244
  • Lastpage
    248
  • Abstract
    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.
  • Keywords
    electric vehicles; knowledge based systems; recommender systems; traffic information systems; automobile industry; electric vehicle driver; information system; recommendation system; recommender system; smart grid infrastructure; Androids; Batteries; Context; Driver circuits; Humanoid robots; Loading; Vehicles; Electric Vehicle; Recommender System; user profile;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics Computer Technology (ICECT), 2011 3rd International Conference on
  • Conference_Location
    Kanyakumari
  • Print_ISBN
    978-1-4244-8678-6
  • Electronic_ISBN
    978-1-4244-8679-3
  • Type

    conf

  • DOI
    10.1109/ICECTECH.2011.5941995
  • Filename
    5941995