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Estimation of Travel Time in the City Based on Intelligent Transportation System Traffic Data with the Use of Neural Networks

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Dependability Engineering and Complex Systems (DepCoS-RELCOMEX 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 470))

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Abstract

The paper presents a method of travel time estimation by neural nets based on traffic data collected by cameras of the Intelligent Transportation System in the city of Wrocław, Poland. The methodology is explained of using traffic intensity data as neural net inputs and of using car plate number recognition system to provide target training data. The advantages of the suggested solution are pointed out. The results of preliminary research are presented for several travel routes and neural net architectures.

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Acknowledgments

This work was partially supported from grant no S50242 at Wrocław University of Science and Technology.

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Authors and Affiliations

  1. Faculty of Electronics, Department of Computer Engineering, Wrocław University of Science and Technology, Wrocław, Poland

    Piotr Ciskowski, Adrianna Janik, Marek Bazan, Krzysztof Halawa & Andrzej Rusiecki

  2. Faculty of Electronics, Department of Control Systems and Mechatronics, Wrocław University of Science and Technology, Wrocław, Poland

    Tomasz Janiczek

Authors
  1. Piotr Ciskowski
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  2. Adrianna Janik
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  3. Marek Bazan
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  4. Krzysztof Halawa
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  5. Tomasz Janiczek
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  6. Andrzej Rusiecki
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Corresponding author

Correspondence to Piotr Ciskowski .

Editor information

Editors and Affiliations

  1. Department of Computer Engineering, Wrocław University of Technology, Wrocław, Poland

    Wojciech Zamojski

  2. Department of Computer Engineering, Wrocław University of Technology, Wrocław, Poland

    Jacek Mazurkiewicz

  3. Department of Computer Engineering, Wrocław University of Technology, Wroclaw, Poland

    Jarosław Sugier

  4. Department of Computer Engineering, Wrocław University of Technology, Wrocław, Poland

    Tomasz Walkowiak

  5. Polish Academy of Sciences, Systems Research Institute, Warszawa, Poland

    Janusz Kacprzyk

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© 2016 Springer International Publishing Switzerland

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Ciskowski, P., Janik, A., Bazan, M., Halawa, K., Janiczek, T., Rusiecki, A. (2016). Estimation of Travel Time in the City Based on Intelligent Transportation System Traffic Data with the Use of Neural Networks. In: Zamojski, W., Mazurkiewicz, J., Sugier, J., Walkowiak, T., Kacprzyk, J. (eds) Dependability Engineering and Complex Systems. DepCoS-RELCOMEX 2016. Advances in Intelligent Systems and Computing, vol 470. Springer, Cham. https://doi.org/10.1007/978-3-319-39639-2_8

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  • DOI: https://doi.org/10.1007/978-3-319-39639-2_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39638-5

  • Online ISBN: 978-3-319-39639-2

  • eBook Packages: EngineeringEngineering (R0)

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