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Cellular Model of Pedestrian Dynamics with Adaptive Time Span

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Parallel Processing and Applied Mathematics (PPAM 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8385))

Abstract

A cellular model of pedestrian dynamics based on the Floor Field model is presented. Contrary to the parallel update in Floor Field, the concept of adaptive time span is introduced. This concept, together with the concept of bounds, supports the spontaneous line formation and chaotic queue in front of the bottleneck. Model simulations are compared to the experiment “passing through”, from which a phase transition from low to high density is observed.

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Acknowledgements

This work was supported by the grant SGS12/197/OHK4/3T/14 and by the MSMT research program under the contract MSM 6840770039.

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Authors and Affiliations

  1. Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Prague, Czech Republic

    Marek Bukáček, Pavel Hrabák & Milan Krbálek

Authors
  1. Marek Bukáček
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  2. Pavel Hrabák
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  3. Milan Krbálek
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Corresponding author

Correspondence to Pavel Hrabák .

Editor information

Editors and Affiliations

  1. Institute of Computer and Information Science, Czestochowa University of Technology, Czestochowa, Poland

    Roman Wyrzykowski

  2. University of Tennessee, Department of Computer Science, Knoxville, Tennessee, USA

    Jack Dongarra

  3. Institute of Computer and Information Science, Czestochowa University of Technology, Czestochowa, Poland

    Konrad Karczewski

  4. Technical University of Denmark Informatics and Mathematical Modelling, Kongens Lyngby, Denmark

    Jerzy Waśniewski

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Bukáček, M., Hrabák, P., Krbálek, M. (2014). Cellular Model of Pedestrian Dynamics with Adaptive Time Span. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2013. Lecture Notes in Computer Science(), vol 8385. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55195-6_63

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  • DOI: https://doi.org/10.1007/978-3-642-55195-6_63

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-55194-9

  • Online ISBN: 978-3-642-55195-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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