Metro Station Emergency Evacuation Simulation Using Cellular Automata

The core content focuses on cellular automata-based emergency evacuation simulation for metro stations. This simulation is developed using MATLAB, incorporating grid-based movement algorithms and visualization functions to demonstrate crowd evacuation patterns. The implementation uses probabilistic transition rules to model individual decision-making, allowing researchers to quantitatively analyze evacuation time and identify bottlenecks. By simulating various emergency scenarios, the system enables comparative evaluation of different evacuation plans and strategies. The model incorporates key parameters such as walking speed distributions, exit capacity constraints, and obstacle avoidance mechanisms through neighbor state evaluation functions. Simulation results support the optimization of evacuation protocols and identification of optimal emergency response strategies. Ultimately, this research provides robust technical support for enhancing metro station emergency management systems, with extensible code architecture allowing integration of additional behavioral features.