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Empirical Results for Pedestrian Dynamics at Bottlenecks

  • Conference paper
Parallel Processing and Applied Mathematics (PPAM 2009)

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

Abstract

In recent years, several approaches for modeling pedestrian dynamics have been developed. Usually the focus is on the qualitative reproduction of empirically observed collective phenomena like the dynamical formation of lanes. Although this gives an indication of the realism of a model, for practical applications as in safety analysis reliable quantitative predictions are required. This asks for reliable empirical data. Here we discuss the current status of one of the basic scenarios, the dynamics at bottlenecks. Here there is currently no consensus even about the qualitative features of bottleneck flows.

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Author information

Authors and Affiliations

  1. Jülich Supercomputing Centre, Forschungszentrum Jülich, 52425, Jülich, Germany

    Armin Seyfried

  2. Institut für Theoretische Physik, Universität zu Köln, 50937, Köln, Germany

    Andreas Schadschneider

Authors
  1. Armin Seyfried
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  2. Andreas Schadschneider
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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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Seyfried, A., Schadschneider, A. (2010). Empirical Results for Pedestrian Dynamics at Bottlenecks. 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_62

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  • DOI: https://doi.org/10.1007/978-3-642-14403-5_62

  • 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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