Modeling Pedestrian Flow: A Path-finding ApproachPublic
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Cellular automata is often used in modeling pedestrian movement, though this research took a path-finding approach, making use of the A* search algorithm for finding least cost paths. Our research team developed a simulation to model pedestrian exit from an enclosed space, and made comparisons between different room configurations. We evaluated these configurations by averaging an evaluation metric for each set of trials, where a lower evaluation metric is considered ``better." The research revealed that the most efficient rooms were rooms with more exits, meaning that as the number of exits increases, exit from the given room becomes better. Additionally, our team found that as the number of adults with backpacks in a classroom increases, exit from that room becomes worse.
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