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Analysis and Application of the Pedestrian Permeation through the Crowd via Cellular Automata

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Parallel Computing Technologies (PaCT 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7979))

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Abstract

This paper studies pedestrian interaction where pedestrians permeate thought crowds in areas such as train stations and shopping centres. Pedestrian simulation model is created by use of Cellular Automata (CA) and various analyses are carried out by means of pedestrian jam. This study further attempts to provide a solution to crowd management. The results show that congestion can be eased by employing intervals between pedestrians. In order to obtain the best possible interval values, a utility function is introduced. The calculated interval with maximum utility provides the optimal solution to ease pedestrian congestion and jam. Furthermore, taking pedestrian interval as a control variable, this Model is applied to train arrival at terminal stations. The result of the simulation herein suggests a solution by implementing a delayed opening of train doors.

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References

  1. Kirchner, A., Klupfel, H., Nishinari, K., Schadschneider, A., Schreckenberg, M.: Simulation of competitive egress behavior: comparison with aircraft evacuation data. Physica A 324, 689 (2003)

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Author information

Authors and Affiliations

  1. Research Center for Advanced Science and Technology, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo, 153-8904, Japan

    Kenichiro Shimura & Katuhiro Nishinari

  2. Department of Informatics Systems and Communication, The University of Milano Bicocca, Viale Sarca 336 - U14, 20126, Milano, Italy

    Kenichiro Shimura, Giuseppe Vizzari & Stefania Bandini

Authors
  1. Kenichiro Shimura
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  2. Giuseppe Vizzari
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  3. Stefania Bandini
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  4. Katuhiro Nishinari
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Editor information

Editors and Affiliations

  1. Institute of Computational Mathematics and Mathematical Geophysics, Supercomputer Department, Russian Academy of Science, 630090, Novosibirsk, Russia

    Victor Malyshkin

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Shimura, K., Vizzari, G., Bandini, S., Nishinari, K. (2013). Analysis and Application of the Pedestrian Permeation through the Crowd via Cellular Automata. In: Malyshkin, V. (eds) Parallel Computing Technologies. PaCT 2013. Lecture Notes in Computer Science, vol 7979. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39958-9_34

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  • DOI: https://doi.org/10.1007/978-3-642-39958-9_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39957-2

  • Online ISBN: 978-3-642-39958-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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