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Classification Approach to Traffic Flow Simulation

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Traffic and Granular Flow '11

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Abstract

A new approach to a microscopic traffic flow simulation is presented. The approach is based on application of data mining techniques. Key moments of constructing process are considered and main advantages in comparison with classical models are provided.

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References

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Author information

Authors and Affiliations

  1. Computing Center of the Russian Academy of Science, Vavilova str. 40, Moscow, 119333, Russia

    Yury V. Chekhovich

  2. Moscow Institute of Physics and Technology (State University), Institutsky lane 9, Dolgoprudny, 141700, Russia

    Nikita P. Ivkin

Authors
  1. Yury V. Chekhovich
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  2. Nikita P. Ivkin
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Corresponding author

Correspondence to Yury V. Chekhovich .

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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Chekhovich, Y.V., Ivkin, N.P. (2013). Classification Approach to Traffic Flow Simulation. 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_8

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