12 May 2016 Modeling and simulation of evacuation behavior using fuzzy logic in a goal finding application
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Modeling and simulation has been widely used as a training and educational tool for depicting different evacuation strategies and damage control decisions during evacuation. However, there are few simulation environments that can include human behavior with low to high levels of fidelity. It is well known that crowd stampede induced by panic leads to fatalities as people are crushed or trampled. Our proposed goal finding application can be used to model situations that are difficult to test in real-life due to safety considerations. It is able to include agent characteristics and behaviors. Findings of this model are very encouraging as agents are able to assume various roles to utilize fuzzy logic on the way to reaching their goals. Fuzzy logic is used to model stress, panic and the uncertainty of emotions. The fuzzy rules link these parts together while feeding into behavioral rules. The contributions of this paper lies in our approach of utilizing fuzzy logic to show learning and adaptive behavior of agents in a goal finding application. The proposed application will aid in running multiple evacuation drills for what-if scenarios by incorporating human behavioral characteristics that can scale from a room to building. Our results show that the inclusion of fuzzy attributes made the evacuation time of the agents closer to the real time drills.
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Sharad Sharma, Sharad Sharma, Kola Ogunlana, Kola Ogunlana, Swetha Sree, Swetha Sree, "Modeling and simulation of evacuation behavior using fuzzy logic in a goal finding application", Proc. SPIE 9848, Modeling and Simulation for Defense Systems and Applications XI, 98480C (12 May 2016); doi: 10.1117/12.2220598; https://doi.org/10.1117/12.2220598

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