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.

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. Intervento presentato a: ACRI 2022 - International Conference on Cellular Automata for Research and Industry, Ginevra, Svizzera.

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

Bandini, Stefania;Briola, Daniela;Dennunzio, Alberto;Gasparini, Francesca;Giltri, Marta;Vizzari, Giuseppe
2022

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.
No
slide + paper
Scientifica
Cellular Automata, Pedestrian Simulation, Affective State Modeling
English
ACRI 2022 - International Conference on Cellular Automata for Research and Industry
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. Intervento presentato a: ACRI 2022 - International Conference on Cellular Automata for Research and Industry, Ginevra, Svizzera.
Bandini, S; Briola, D; Dennunzio, A; Gasparini, F; Giltri, M; Vizzari, G
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10281/391048
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