Statistical Behaviour of Mixed Crowds of Humans and Automata
Claudio Dorso
Co-Author
Instituto de Fı́sica de Buenos Aires, CONICET
Wednesday, Aug 7: 9:55 AM - 10:00 AM
2574
Contributed Speed
Oregon Convention Center
The behavior of highly dense crowds under emergency situations caught the attention of researchers in the last years. But, it is now common the presence of automata among people in public buildings, malls, etc. Automata are set to do specific tasks and may or may not carry an emergency plan. This work simulates the dynamics of an escaping situation due to some kind of danger. A mixed population of humans and automata try to get out from a room. We handle the pedestrians' dynamics by means of the Social Force Model (SFM). The automata, however, evaluates the costs of deviation from a preset route. Both models interact, yielding quite unkown scenarios. Our aim is to identify the most favorable scenarios for the human safety.
crowd dynamics
social force model
emergency
automata
safety
Main Sponsor
Section on Physical and Engineering Sciences
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