ELECTRIC VEHICLE ROUTE RECOMMENDER SYSTEM

João C. Ferreira, Vítor Monteiro, João L. Afonso

2012

Abstract

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.

References

  1. Ferreira, J. C., Monteiro V. and Afonso J., 2011. Mobile Geographic Range Prediction for Electric Vehicles. Proceedings of the 1st Conference in Electronics, Telecommunications, and Computer Engineering, from 24th to the 25th November, 2011, at Instituto Superior de Engenharia de Lisboa - ISEL, Lisbon- Portugal.
  2. Gediminas A., (2005). Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions, IEEE Transactions on Knowledge and Data Engineering, Vol. 17, Nº. 6, June 2005
  3. Tuzhilin A., Gediminas A., 2001. Multidimensional Recommender Systems: A Data Warehousing Approach, Springer Berlin/Heidelberg, 2001.
  4. Pereira P., (2010). Sistema de Recomendação para Condutores de Veículos Eléctricos. MSc dissertation - ADEETC- ISEL, Lisbon.
  5. Fontes T. F., (2008). Determinação do melhor caminho em sistemas de transporte terrestre (BPath - Best Path). Final Year Project at ADEETC - ISEL, Lisbon.
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Paper Citation


in Harvard Style

C. Ferreira J., Monteiro V. and Afonso J. (2012). ELECTRIC VEHICLE ROUTE RECOMMENDER SYSTEM . In Proceedings of the 1st International Conference on Smart Grids and Green IT Systems - Volume 1: SMARTGREENS, ISBN 978-989-8565-09-9, pages 49-58. DOI: 10.5220/0003954400490058


in Bibtex Style

@conference{smartgreens12,
author={João C. Ferreira and Vítor Monteiro and João L. Afonso},
title={ELECTRIC VEHICLE ROUTE RECOMMENDER SYSTEM},
booktitle={Proceedings of the 1st International Conference on Smart Grids and Green IT Systems - Volume 1: SMARTGREENS,},
year={2012},
pages={49-58},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003954400490058},
isbn={978-989-8565-09-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Smart Grids and Green IT Systems - Volume 1: SMARTGREENS,
TI - ELECTRIC VEHICLE ROUTE RECOMMENDER SYSTEM
SN - 978-989-8565-09-9
AU - C. Ferreira J.
AU - Monteiro V.
AU - Afonso J.
PY - 2012
SP - 49
EP - 58
DO - 10.5220/0003954400490058