Pedestrian Evacuation Simulation Using Cellular Automata
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This study presents a two-dimensional cellular automaton model designed for simulating bidirectional pedestrian evacuation dynamics. The model incorporates key parameters including pedestrian walking speed, movement direction, crowd density, as well as evacuation area dimensions (width and length). Key algorithmic features include state transition rules that govern pedestrian movement based on neighbor cell occupancy and directional preferences. The simulation framework allows for scenario-based analysis of evacuation efficiency under varying conditions, providing critical insights for optimizing safety-oriented evacuation designs. Potential code implementation would involve grid-based cell states (0 for empty, 1 for pedestrian), velocity-based transition probabilities, and density-dependent movement constraints. Future model enhancements could integrate obstacle avoidance algorithms and individual behavior patterns through modified neighbor evaluation functions.
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