Distance-based affective states in cellular automata pedestrian simulation
Authors: 
Stefania Bandini, 
Daniela Briola, Alberto Dennunzio, Francesca Gasparini, Marta Giltri, 
Giuseppe VizzariAuthors Info & Claims
Abstract
Cellular Automata have successfully been successfully applied to the modeling and simulation of pedestrian and crowd dynamics. In particular, the investigated scenarios have often been focused on the evaluation of medium–high population density situations, in which the motivation of pedestrians to reach a certain location overcomes their tendency to naturally respect proxemic distances. The global COVID-19 outbreak, though, has shown that sometimes it is crucial to contemplate how proxemic tendencies are emphasized and amplified by the affective state of the individuals involved in the scenario, representing an important factor to take into consideration when investigating the behaviour of a crowd. In this paper we present a research effort aimed at integrating results of quantitative analyses regarding the effects of affective states on the perception of distances maintained by different types of pedestrians with the modeling of pedestrian movement choices in a cellular automata framework.
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© The Author(s) 2023.
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Kluwer Academic Publishers
United States
Publication History
Published: 31 August 2023
Accepted: 01 August 2023
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- Fondazione Cariplo
- Università degli Studi di Milano - Bicocca
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