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Activity Number: 383
Type: Contributed
Date/Time: Tuesday, August 4, 2009 : 2:00 PM to 3:50 PM
Sponsor: Section on Physical and Engineering Sciences
Abstract - #304665
Title: Statistical Behaviour of Pedestrians Under Panic
Author(s): Guillermo Frank*+ and Claudio Dorso
Companies: University of Buenos Aires and University of Buenos Aires
Address: Pabellón I - Ciudad Universitaria, Buenos Aires, International, , Argentina
Keywords: panic ; social-force model
Abstract:

The "social force model" is a mathematical description for crowds under panic situations (Helbing et al.(2000), Nature, 407,487-490). It assumes that certain social effects (desire, repulsion, etc.) are responsible for the way pedestrians change their motion. These socio-psychological effects can be modelled and related to the change in the velocity of each individual. However, in panic there is no coordination between them, resulting in jamming, clogging, etc. We investigate de collective behaviour of pedestrians in an escape situation and try to predict the time evolution of the process. We attempt to compare our results to real, but qualitative, empirical data.


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