We often visit places with a large concentration of people, such as malls, football stadiums, restaurants or nightclubs. In the media, there are often reports of emergency situations in these places. It is known that in a fire situation, one of the main causes of death is the inhalation of smoke. Therefore, it is essential that at the start of emergency situations, people leave quickly to avoid possible injuries. We have investigated the dispersion of smoke in closed places and simulated the crowd behavior in these situations. This paper aims to present a new proposal to model smoke dispersion in closed environments using the concept of potential fields joined with cellular automata. To validate the work, we have tested our behavioral model in a real scenario, the Kiss nightclub tragedy.
CITATION STYLE
Corrêa, B. A., Bicho, A. L., & Adamatti, D. F. (2019). Multiagent Systems and Potential Fields to Smoke Dispersion Applied to Evacuation Simulations: The Case of Kiss Nightclub. Applied Artificial Intelligence, 33(11), 1008–1021. https://doi.org/10.1080/08839514.2019.1661577
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