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Applications of Soft Computing in Intelligent Transportation Systems

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Soft Computing Based Optimization and Decision Models

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 360))

Abstract

Intelligent Transportation Systems emerged to meet the increasing demand for more efficient, reliable and safer transportation systems. These systems combine electronic, communication and information technologies with traffic engineering to respond to the former challenges. The benefits of Intelligent Transportation Systems have been extensively proved in many different facets of transport and Soft Computing has played a major role in achieving these successful results. This book chapter aims at gathering and discussing some of the most relevant and recent advances of the application of Soft Computing in four important areas of Intelligent Transportation Systems as autonomous driving, traffic state prediction, vehicle route planning and vehicular ad hoc networks.

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Acknowledgements

This work has been supported by the research projects TEC2013-45585-C2-2-R and TIN2014-56042-JIN from the Spanish Ministry of Economy and Competitiveness, and TIMON project which received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 636220.

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Authors and Affiliations

  1. Faculty of Engineering, University of Deusto, 48007, Bilbao, Spain

    Antonio D. Masegosa, Enrique Onieva, Pedro Lopez-Garcia & Eneko Osaba

  2. DeustoTech-Fundacion Deusto, Deusto Foundation, 48007, Bilbao, Spain

    Antonio D. Masegosa, Enrique Onieva, Pedro Lopez-Garcia & Eneko Osaba

  3. IKERBASQUE, Basque Foundation for Science, 48011, Bilbao, Spain

    Antonio D. Masegosa

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  1. Antonio D. Masegosa
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  2. Enrique Onieva
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  3. Pedro Lopez-Garcia
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  4. Eneko Osaba
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Correspondence to Antonio D. Masegosa .

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  1. Department of Computer Science and A.I. Higher Technical School of Information Technology and Telecommunications Engineering, University of Granada, Granada, Spain

    David A. Pelta

  2. Department of Computer Science and A.I. Higher Technical School of Information Technology and Telecommunications Engineering, University of Granada , Granada, Spain

    Carlos Cruz Corona

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Masegosa, A.D., Onieva, E., Lopez-Garcia, P., Osaba, E. (2018). Applications of Soft Computing in Intelligent Transportation Systems. In: Pelta, D., Cruz Corona, C. (eds) Soft Computing Based Optimization and Decision Models. Studies in Fuzziness and Soft Computing, vol 360. Springer, Cham. https://doi.org/10.1007/978-3-319-64286-4_4

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