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Integrating the Implications of Distance-Based Affective States in Cellular Automata Pedestrian Simulation

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Cellular Automata (ACRI 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13402))

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Abstract

Cellular Automata have successfully been applied to the modeling and simulation of pedestrian dynamics. These simulations have often been focused on the evaluation of situations of medium-high density, in which the motivation of pedestrians overcomes natural proxemic tendencies. The COVID-19 outbreak has shown that in certain situations it is instead crucial to focus on situations in which proxemic is amplified by the particular affective state of the individuals involved in the studied scenario. We present the first steps in a research effort aimed at integrating results of quantitative analyses concerning effects of affective states on the perception of mutual distances by pedestrians of different type and the modeling of movement choices in a cellular automata framework.

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Notes

  1. 1.

    We think it is relevant to mention the precise period since the perception of COVID-related risk changed significantly according to trend in the number of infections.

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Acknowledgments

This research is partially supported by Fondazione Cariplo, for the project LONGEVICITY - Social Inclusion for the Elderly through Walkability (Ref. 2017-0938).

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Authors and Affiliations

  1. Department of Informatics, Systems and Communication, Università degli Studi di Milano-Bicocca, Viale Sarca 336, 20126, Milan, MI, Italy

    Stefania Bandini, Daniela Briola, Alberto Dennunzio, Francesca Gasparini, Marta Giltri & Giuseppe Vizzari

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

    Stefania Bandini

Authors
  1. Stefania Bandini
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  2. Daniela Briola
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  3. Alberto Dennunzio
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  4. Francesca Gasparini
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  5. Marta Giltri
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  6. Giuseppe Vizzari
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Corresponding author

Correspondence to Marta Giltri .

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Editors and Affiliations

  1. University of Geneva, Geneva, Switzerland

    Bastien Chopard

  2. University of Milano-Bicocca, Milan, Italy

    Stefania Bandini

  3. University of Milano-Bicocca, Milan, Italy

    Alberto Dennunzio

  4. University of Geneva, Geneva, Switzerland

    Mira Arabi Haddad

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Bandini, S., Briola, D., Dennunzio, A., Gasparini, F., Giltri, M., Vizzari, G. (2022). Integrating the Implications of Distance-Based Affective States in Cellular Automata Pedestrian Simulation. In: Chopard, B., Bandini, S., Dennunzio, A., Arabi Haddad, M. (eds) Cellular Automata. ACRI 2022. Lecture Notes in Computer Science, vol 13402. Springer, Cham. https://doi.org/10.1007/978-3-031-14926-9_23

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  • DOI: https://doi.org/10.1007/978-3-031-14926-9_23

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  • Online ISBN: 978-3-031-14926-9

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