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Artificial Intelligence of Virtual People in CA FF Pedestrian Dynamics Model

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Parallel Processing and Applied Mathematics (PPAM 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6068))

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Abstract

This paper deals with mathematical model of pedestrian flows. We focus here on an “intelligence” of virtual people. From macroscopic viewpoint pedestrian dynamics is already well simulated but from microscopic point of view typical features of people movement need to be implemented to models. At least such features are “keeping in mind” two strategies – the shortest path and the shortest time and keeping a certain distance from other people and obstacles if it is possible. In this paper we implement mathematical formalization of these features to stochastic cellular automata (CA) Floor Field (FF) model.

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Author information

Authors and Affiliations

  1. Institute of Computational Modelling of Siberian Branch of Russian Academy of Sciences, Krasnoyarsk, Akademgorodok, Russia, 660036

    Ekaterina Kirik & Dmitriy Krouglov

  2. Siberian Federal University, Krasnoyarsk, Russia

    Ekaterina Kirik & Tat’yana Yurgel’yan

  3. V.N. Sukachev Institute of Forest of Siberian Branch of Russian Academy of Sciences, Krasnoyarsk, Russia

    Dmitriy Krouglov

Authors
  1. Ekaterina Kirik
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  2. Tat’yana Yurgel’yan
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  3. Dmitriy Krouglov
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Editor information

Editors and Affiliations

  1. Institute of Computational and Information Sciences,, Czestochowa University of Technology,  

    Roman Wyrzykowski

  2. Department of Electrical Engineering and Computer Science, University of Tennessee, 37996-3450, Knoxville, TN, USA

    Jack Dongarra

  3. Institute of Computer and Information Science, Czestochowa University of Technology, Dabrowskiego 73, PL-42-200, Czestochowa, Poland

    Konrad Karczewski

  4. Department of Informatics and Mathematical Modeling, Technical University of Denmark, Richard Petersens Plads, Building 321, 2800, Kongens Lyngby, Denmark

    Jerzy Wasniewski

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© 2010 Springer-Verlag Berlin Heidelberg

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Kirik, E., Yurgel’yan, T., Krouglov, D. (2010). Artificial Intelligence of Virtual People in CA FF Pedestrian Dynamics Model. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Wasniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2009. Lecture Notes in Computer Science, vol 6068. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14403-5_54

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  • DOI: https://doi.org/10.1007/978-3-642-14403-5_54

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14402-8

  • Online ISBN: 978-3-642-14403-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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