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AndroWI: Collaborative System for Fuel Saving Using Android Mobile Devices

  • Conference paper
Ambient Intelligence - Software and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 219))

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Abstract

This paper implements and validates a system to save fuel based on the collaboration of drivers. The system gets the optimal speed pattern evaluating the driving of nearby drivers. A fuzzy logic system is used to assess drivers and the information about nearby vehicles is obtained through WIFI-Direct. Best driver sends the optimal speed pattern to the other vehicles and the mobile device notifies the user through a vibration pattern or speaker if the user should slow down or speed up.

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Author information

Authors and Affiliations

  1. Dpto. de Ingeniería Telemática, Universidad Carlos III de Madrid Leganés, Madrid, Spain

    Víctor Corcoba Magaña & Mario Muñoz Organero

Authors
  1. Víctor Corcoba Magaña
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  2. Mario Muñoz Organero
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Corresponding author

Correspondence to Víctor Corcoba Magaña .

Editor information

Editors and Affiliations

  1. for Smart Technology and Smart Living, Stichting Smart Homes, Smart Homes Research Centre, Eindhoven, 5605, Netherlands

    Ad van Berlo

  2. , The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Campusvej 55, Odense M, 5230, Denmark

    Kasper Hallenborg

  3. , Departamento de Informática, Universidad de Salamanca, Plaza de la Merced S/N, Salamanca, 37008, Spain

    Juan M. Corchado Rodríguez

  4. Departamento de Informática, y Automática, Universidad de Salamanca, Plaza de la Merced S/N, Salamanca, 37008, Spain

    Dante I. Tapia

  5. , Departamento de Informática, Universidade do Minho, Campus de Gualtar, Braga, 4710-057, Portugal

    Paulo Novais

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© 2013 Springer International Publishing Switzerland

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Magaña, V.C., Organero, M.M. (2013). AndroWI: Collaborative System for Fuel Saving Using Android Mobile Devices. In: van Berlo, A., Hallenborg, K., Rodríguez, J., Tapia, D., Novais, P. (eds) Ambient Intelligence - Software and Applications. Advances in Intelligent Systems and Computing, vol 219. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00566-9_7

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  • DOI: https://doi.org/10.1007/978-3-319-00566-9_7

  • Publisher Name: Springer, Heidelberg

  • Print ISBN: 978-3-319-00565-2

  • Online ISBN: 978-3-319-00566-9

  • eBook Packages: EngineeringEngineering (R0)

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