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Statistical Analysis of Floating-Car Data: An Empirical Study

  • Conference paper
Traffic and Granular Flow’05

Summary

We present results of a statistical analysis of empirical floating-car data. Our investigations are based on analyzing the time series of four basic quantities namely velocity, velocity difference, spatial gap and the acceleration associated to some instrumented cars. We try to identify the moving phases of the instrumented vehicle according to the statistical properties of its velocity time series. Moreover, by exploring the two-point joint probabilities, we propose a new approach for modelling vehicular dynamics based on the floating car data.

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Author information

Authors and Affiliations

  1. Department of Physics, Zanjan University, P.O. Box, 45196-313, Zanjan, Iran

    M. Ebrahim Fouladvand & Amir H. Darooneh

  2. Department of Nano-Science, Institute for Studies in Theoretical Physics & Mathematics (IPM), P.O. Box, 19395-5531, Tehran, Iran

    M. Ebrahim Fouladvand

Authors
  1. M. Ebrahim Fouladvand
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  2. Amir H. Darooneh
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Editor information

Editors and Affiliations

  1. Institut für Theoretische Physik, Universität zu Köln, Zülpicher Str. 77, 50937, Köln, Germany

    Andreas Schadschneider

  2. Campus Virchow Klinikum Centrum für Unfall- und Wiederherstellungschirurgie, Charité, Augustenburger Platz 1, 13353, Berlin, Germany

    Thorsten Pöschel

  3. Institut für Verkehrsforschung, Deutsches Zentrum für Luft- und Raumfahrt (DLR), Rutherfordstr. 2, 12489, Berlin, Germany

    Reinhart Kühne

  4. Physik von Transport und Verkehr, Universität Duisburg-Essen, Lotharstr. 1, 47048, Duisburg, Germany

    Michael Schreckenberg

  5. Theoretische Physik, Universität Duisburg-Essen, Lotharstr. 1, 47048, Duisburg, Germany

    Dietrich E. Wolf

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© 2007 Springer-Verlag Berlin Heidelberg

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Fouladvand, M.E., Darooneh, A.H. (2007). Statistical Analysis of Floating-Car Data: An Empirical Study. In: Schadschneider, A., Pöschel, T., Kühne, R., Schreckenberg, M., Wolf, D.E. (eds) Traffic and Granular Flow’05. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-47641-2_68

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