Author:
Bandini Stefania,Briola Daniela,Dennunzio Alberto,Gasparini Francesca,Giltri Marta,Vizzari Giuseppe
Abstract
AbstractCellular 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.
Funder
Fondazione Cariplo
Università degli Studi di Milano - Bicocca
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications
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