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Crowd Dynamics Modeling in the Light of Proxemic Theories

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Artifical Intelligence and Soft Computing (ICAISC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6114))

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Abstract

The application of the theory of proxemics brings a promising perspective to microscopic motion modeling in pedestrian dynamics. Combining an agent-based approach and spatial context make it possible to simulate crowd in different classes of situations. The article discusses certain aspects of proxemics theory and the possibility of using the Social Distances model for different classes of situations. Also, an idea of using specialized borderline cells is introduced, which enables more precise space representation.

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Author information

Authors and Affiliations

  1. Institute of Automatics, AGH University of Science and Technology, al. Mickiewicza 30, 30-059, Kraków, Poland

    Jarosław Wąs

Authors
  1. Jarosław Wąs
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Editor information

Editors and Affiliations

  1. Department of Artificial Intelligence, Academy of Humanities and Economics, Poland

    Leszek Rutkowski

  2. Academy of Humanities and Economics in Łódź, ul. Rewolucji 1905 nr 64, Łódź, Poland

    Rafał Scherer

  3. Institute of Automatics, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  4. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley Initiative in Soft Computing (BISC), 94720-1776, CA

    Lotfi A. Zadeh

  5. Computational Intelligence Laboratory Department of Electrical and Computer Engineering, University of Louisville, 40292, Louisville, KY

    Jacek M. Zurada

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Wąs, J. (2010). Crowd Dynamics Modeling in the Light of Proxemic Theories. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artifical Intelligence and Soft Computing. ICAISC 2010. Lecture Notes in Computer Science(), vol 6114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13232-2_84

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  • DOI: https://doi.org/10.1007/978-3-642-13232-2_84

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13231-5

  • Online ISBN: 978-3-642-13232-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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