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Identifiability and Practical Relevance of Complex Car-Following Models

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Traffic and Granular Flow '11

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Abstract

This article looks at car-following models from a deliberately pragmatic perspective: What information about driver behavior can be extracted from a given data set without more or less speculative assumptions about underlying behavioral laws? The objective of this exercise is not to invalidate existing models but to obtain a better understanding of how much (complex) model structure can be revealed/validated from real data.

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References

  1. E. Brockfeld, R. D. Kühne, and P. Wagner. Calibration and validation of microscopic traffic flow models. Transportation Research Records, 1876:62–70, 2004.

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  2. G. S. Gurusinghe, T. Nakatsuji, Y. Azuta, P. Ranjitkar, and Y. Tanaboriboon. Multiple car following data using real time kinematic global positioning system. Transportation Research Records, 2003.

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  3. T. Söderström and P. Stoica. Instrumental variable methods for system identification. Circuits, Systems, and Signal Processing, 21(1):1–9, 2002.

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Acknowledgements

We are grateful for the data-set, which has been made available to us by Prof. T Nakatsuji.

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Authors and Affiliations

  1. KTH Royal Institute of Technology, Stockholm, Sweden

    Gunnar Flötteröd

  2. DLR German Aerospace Center, Cologne, Germany

    Peter Wagner & Yun-Pang Flötteröd

Authors
  1. Gunnar Flötteröd
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  2. Peter Wagner
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  3. Yun-Pang Flötteröd
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Corresponding author

Correspondence to Gunnar Flötteröd .

Editor information

Editors and Affiliations

  1. Institute of Computer Science, Steklov Mathematical Institute, Russian Academy of Sciences, Moscow, Russia

    Valery V. Kozlov

  2. Moscow State Automobile & Road Technical University, Moscow, Russia

    Alexander P. Buslaev

  3. Russian Academy of Sciences, Electronics Institute and Kotel’nikov Radioengineeering, Moscow, Russia

    Alexander S. Bugaev

  4. Mathematical Cybernetics Department, Moscow Technical University of Communications & Informatics, Moscow, Russia

    Marina V. Yashina

  5. Universität Köln, Institut Theoretische Physik, Köln, Germany

    Andreas Schadschneider

  6. und Verkehr, Universität Duisburg-Essen Physik von Transport, Duisburg, Germany

    Michael Schreckenberg

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© 2013 Springer-Verlag Berlin Heidelberg

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Flötteröd, G., Wagner, P., Flötteröd, YP. (2013). Identifiability and Practical Relevance of Complex Car-Following Models. In: Kozlov, V., Buslaev, A., Bugaev, A., Yashina, M., Schadschneider, A., Schreckenberg, M. (eds) Traffic and Granular Flow '11. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39669-4_5

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