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Architectural Design for the Survival Optimization of Panicking Fleeing Victims

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Advances in Artificial Life (ECAL 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2801))

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Abstract

Panic is a powerful and at times deadly force; hence the aim of the project is to provide initial modifications in architecture to a large room full of panicking individuals to optimize the evacuation. This was done using a model constructed by Helbing, Farkas, and Vicsek [1]. After reproducing the main results, this model was used to explore the behavior of a mixed crowd, in which only a percentage of the victims were panicking. The main part of the project is then focused on examining architectural adjustments to increase the victim flow out of the room. The outcome of these experiments yielded fruitful results, which at times almost doubled the victim flow velocity. This leaves great room for further more ambitious experiments like full-on evolution of architectural design.

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Authors and Affiliations

  1. Complex Adaptive Systems Masters Program, Chalmers University of Technology, 412 96, Gothenburg, Sweden

    Rodrigo Escobar & Armando De La Rosa

Authors
  1. Rodrigo Escobar
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  2. Armando De La Rosa
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Memorial University of Newfoundland, Canada

    Wolfgang Banzhaf

  2. Department of Computer Science, University of Dortmund, 11, Joseph-von-Fraunhofer-Str. 20, 44227, Dortmund, Germany

    Jens Ziegler

  3. Fraunhofer IAIS, Sankt Augustin

    Thomas Christaller

  4. Bio Systems Analysis Group, Jena Centre for Bioinformatics and Friedrich Schiller University Jena, Ernst-Abbe-Platz 1–4, D-07743, Jena, Germany

    Peter Dittrich

  5. School of Computing Sciences, University of East Anglia, NR4 7TJ, Norwich, United Kingdom

    Jan T. Kim

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© 2003 Springer-Verlag Berlin Heidelberg

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Escobar, R., De La Rosa, A. (2003). Architectural Design for the Survival Optimization of Panicking Fleeing Victims. In: Banzhaf, W., Ziegler, J., Christaller, T., Dittrich, P., Kim, J.T. (eds) Advances in Artificial Life. ECAL 2003. Lecture Notes in Computer Science(), vol 2801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39432-7_11

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  • DOI: https://doi.org/10.1007/978-3-540-39432-7_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20057-4

  • Online ISBN: 978-3-540-39432-7

  • eBook Packages: Springer Book Archive

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