Print  Close

Statistical Behaviour of Mixed Crowds of Humans and Automata

Abstract Number:

2574 

Submission Type:

Contributed Abstract 

Contributed Abstract Type:

Speed 

Participants:

Guillermo Frank (1), Claudio Dorso (2)

Institutions:

(1) Unidad de Investigación y Desarrollo de las Ingenierı́as, UTN Buenos Aires, Buenos Aires, Argentina, (2) Instituto de Fı́sica de Buenos Aires, CONICET, Buenos Aires, Argentina

Co-Author:

Claudio Dorso  
Instituto de Fı́sica de Buenos Aires, CONICET

First Author:

Guillermo Frank  
Unidad de Investigación y Desarrollo de las Ingenierı́as, UTN Buenos Aires

Presenting Author:

Guillermo Frank  
N/A

Abstract Text:

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.

Keywords:

crowd dynamics|social force model|emergency|automata|safety|

Sponsors:

Section on Physical and Engineering Sciences

Tracks:

Physical Sciences

Can this be considered for alternate subtype?

No

Are you interested in volunteering to serve as a session chair?

No

I have read and understand that JSM participants must abide by the Participant Guidelines.

Yes

I understand that JSM participants must register and pay the appropriate registration fee by June 1, 2024. The registration fee is non-refundable.

I understand