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Wildfire propagation is a complex process influenced by many factors. Simulation models of wildfire spread, such as DEVS-FIRE, are important tools for studying fire behavior. This paper presents how the sequential Monte Carlo methods, i.e., particle filters, can work together with DEVS-FIRE for better simulation and prediction of wildfire. We define an application framework of particle filters for...
Simulation of wildland fire suppression is useful to evaluate deployment plans of firefighting resources and to experiment different fire suppression strategies and tactics. Previous work of fire suppression simulation uses analytical models based on a continuous space. This paper presents a design of fire suppression simulation using a discrete event agent model based on a discrete cellular space...
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