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A Study of the Analytical Method for the Location Planning of Charging Stations for Electric Vehicles

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Knowledge-Based and Intelligent Information and Engineering Systems (KES 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6883))

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Abstract

This study describes an analytical method for the location planning of charging stations for electric vehicles (EVs). EVs are expected to help CO2 reduction and to improve road environment such as noise level. In this paper, the theoretical framework of the optimum location of charging stations is explained. We assume that the number of charging stations to install and the basic performance are given. This framework has the base of the traffic assignment technique with Stochastic User Equilibrium (SUE) and its optimization will be achieved with the idea of the entropy maximization.

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Author information

Authors and Affiliations

  1. i-Transport Lab. Co., Ltd., 3F, Jimbocho1-4BLDG, Kanda Jimbocho 1-4, Chiyoda-ku, Tokyo, 101-0051, Japan

    Hisatomo Hanabusa & Ryota Horiguchi

Authors
  1. Hisatomo Hanabusa
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  2. Ryota Horiguchi
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Editor information

Editors and Affiliations

  1. Institute of Integrated Sensor Systems, University of Kaiserslautern, Erwin-Schroedinger-str. 12, 67663, Kaiserslautern, Germany

    Andreas König

  2. Knowledge-Based Systems Group, Department of Computer Science, University of Kaiserslautern, P.O. Box 3049, 67653, Kaiserslautern, Germany

    Andreas Dengel

  3. School of Business, University of Applied Sciences Northwestern Switzerland, Riggenbachstr. 16, 4600, Olten, Switzerland

    Knut Hinkelmann

  4. Graduate School of Engineering, Osaka Prefecture University, 1-1 Gakuen-cho, Sakai, 599-8531, Osaka, Japan

    Koichi Kise

  5. KES International, P.O. Box 2115, BN43 9AF, Shoreham-by-sea, UK

    Robert J. Howlett

  6. University of South Australia, Adelaide, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2011 Springer-Verlag Berlin Heidelberg

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Hanabusa, H., Horiguchi, R. (2011). A Study of the Analytical Method for the Location Planning of Charging Stations for Electric Vehicles. In: König, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2011. Lecture Notes in Computer Science(), vol 6883. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23854-3_63

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  • DOI: https://doi.org/10.1007/978-3-642-23854-3_63

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23853-6

  • Online ISBN: 978-3-642-23854-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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