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EvaWeb: A Web App for Simulating the Evacuation of Buildings with a Grid Automaton

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Technology-Enhanced Learning for a Free, Safe, and Sustainable World (EC-TEL 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12884))

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Abstract

In this Demo-Paper, we present EvaWeb, a Web Application for simulating the evacuation of buildings with a grid automaton. It is designed to support learning in the domain of mathematical modelling based on real-world problems. EvaWeb allows for 1) creating scenarios consisting of floor plans and persons within the environment, 2) loading and storing these scenarios to a text string, 3) automatically executing these scenarios, and 4) configuring the aesthetics and algorithms used during the execution. EvaWeb can be used online for free at https://evadid.it/eva2.

This research was supported by Deutsche Telekom Stiftung.

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Notes

  1. 1.

    The text of the sports hall in Fig. 1 consists of 469 characters. This is less than one character for each of the 688 (=13*43) tiles and 40 sprites in the same scenario.

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Authors and Affiliations

  1. University of Wuerzburg, Würzburg, Germany

    André Greubel, Hans-Stefan Siller & Martin Hennecke

Authors
  1. André Greubel
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  2. Hans-Stefan Siller
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  3. Martin Hennecke
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Corresponding author

Correspondence to André Greubel .

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Editors and Affiliations

  1. KU Leuven, Leuven, Belgium

    Tinne De Laet

  2. Open University of the Netherlands, Heerlen, The Netherlands

    Roland Klemke

  3. Universidad Carlos III de Madrid, Leganés, Spain

    Carlos Alario-Hoyos

  4. Pontificia Universidad Católica de Chile, Santiago, Chile

    Isabel Hilliger

  5. Universidad de Valladolid, Valladolid, Spain

    Alejandro Ortega-Arranz

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Greubel, A., Siller, HS., Hennecke, M. (2021). EvaWeb: A Web App for Simulating the Evacuation of Buildings with a Grid Automaton. In: De Laet, T., Klemke, R., Alario-Hoyos, C., Hilliger, I., Ortega-Arranz, A. (eds) Technology-Enhanced Learning for a Free, Safe, and Sustainable World. EC-TEL 2021. Lecture Notes in Computer Science(), vol 12884. Springer, Cham. https://doi.org/10.1007/978-3-030-86436-1_48

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  • DOI: https://doi.org/10.1007/978-3-030-86436-1_48

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  • Online ISBN: 978-3-030-86436-1

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