Tragic events in overcrowded situations have highlighted the importance of the availability of good models for pedestrian behaviour under emergency conditions. Crowd models are generally macroscopic or microscopic. In the first case, the crowd is considered to be like a fluid, so that its movement can be described through differential equations. In the second case, the collective behaviour of the crowd is the result of interactions among individual elements of the system. In this paper, we propose a microscopic model of crowd evacuation that incorporates the fuzzy perception and anxiety embedded in human reasoning. A Visual C++ application was developed to evaluate the outcomes of the model. The model was tested in scenarios with presence of a fixed obstacle. Simulation results have been analyzed in terms of door capacity and compared with an experimental study.

Simulation of crowd dynamics in panic situations using a fuzzy logic-based behavioural model / Dell’Orco, Mauro; Marinelli, Mario; Ottomanelli, Michele (ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING). - In: Computer-based Modelling and Optimization in Transportation / [a cura di] Jorge Freire de Sousa; Riccardo Rossi. - STAMPA. - Chaim, CH : Spinger, 2014. - ISBN 978-3-319-04629-7. - pp. 237-250 [10.1007/978-3-319-04630-3_18]

Simulation of crowd dynamics in panic situations using a fuzzy logic-based behavioural model

Mauro Dell’Orco;Mario Marinelli;Michele Ottomanelli
2014-01-01

Abstract

Tragic events in overcrowded situations have highlighted the importance of the availability of good models for pedestrian behaviour under emergency conditions. Crowd models are generally macroscopic or microscopic. In the first case, the crowd is considered to be like a fluid, so that its movement can be described through differential equations. In the second case, the collective behaviour of the crowd is the result of interactions among individual elements of the system. In this paper, we propose a microscopic model of crowd evacuation that incorporates the fuzzy perception and anxiety embedded in human reasoning. A Visual C++ application was developed to evaluate the outcomes of the model. The model was tested in scenarios with presence of a fixed obstacle. Simulation results have been analyzed in terms of door capacity and compared with an experimental study.
2014
Computer-based Modelling and Optimization in Transportation
978-3-319-04629-7
Spinger
Simulation of crowd dynamics in panic situations using a fuzzy logic-based behavioural model / Dell’Orco, Mauro; Marinelli, Mario; Ottomanelli, Michele (ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING). - In: Computer-based Modelling and Optimization in Transportation / [a cura di] Jorge Freire de Sousa; Riccardo Rossi. - STAMPA. - Chaim, CH : Spinger, 2014. - ISBN 978-3-319-04629-7. - pp. 237-250 [10.1007/978-3-319-04630-3_18]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/12404
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