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Fuzzy Modeling and Control: Theory and Applications pp 255–271Cite as

Genetic Optimization of Fuzzy Adaptive Cruise Control for Urban Traffic

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Part of the book series: Atlantis Computational Intelligence Systems ((ATLANTISCIS,volume 9))

Abstract

The greatest concern in the automotive market is possibly the safety of the occupants of vehicles, pedestrians and other highway users. Cars are increasingly incorporating intelligent systems to improve safety, comfort and energy efficiency.

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References

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Acknowledgments

This work was supported by the Ministry of Economy and Competitiveness of the Spanish Government (project DPI2012-36959).

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Authors and Affiliations

  1. Department of Electronics Technology, Systems and Automation Engineering, University of Cantabria, Cantabria, Spain

    Luciano Alonso & Juan Pérez-Oria

Authors
  1. Luciano Alonso
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  2. Juan Pérez-Oria
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Corresponding author

Correspondence to Luciano Alonso .

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Editors and Affiliations

  1. Center for Automation and Robotics, Universidad Politécnica de Madrid— Consejo Superior de Investigaciones Científicas (UPM—CSIC), Madrid, Madrid, Spain

    Fernando Matía

  2. DPolytechnic School of Engineering, Universidad de La Laguna, La Laguna, Sta. Cruz Tenerife, Spain

    G. Nicolás Marichal

  3. Universidad de La RiojaDepartamento de Ingeniería Eléctrica, Universidad de La Rioja, La Rioja, Navarra, Spain

    Emilio Jiménez

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Alonso, L., Pérez-Oria, J. (2014). Genetic Optimization of Fuzzy Adaptive Cruise Control for Urban Traffic. In: Matía, F., Marichal, G., Jiménez, E. (eds) Fuzzy Modeling and Control: Theory and Applications. Atlantis Computational Intelligence Systems, vol 9. Atlantis Press, Paris. https://doi.org/10.2991/978-94-6239-082-9_14

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  • DOI: https://doi.org/10.2991/978-94-6239-082-9_14

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  • Publisher Name: Atlantis Press, Paris

  • Print ISBN: 978-94-6239-081-2

  • Online ISBN: 978-94-6239-082-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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