Occupant Evacuation Process Modeling and Simulation

Occupant evacuation process modeling and simulation utilizes cellular automata methodology to analyze public safety evacuation scenarios. Our implementation employs a grid-based environment where each cell represents discrete spatial units, with state transition rules governing occupant movement, collision detection, and exit seeking behaviors. The MATLAB simulation core features matrix operations for efficient cellular state updates and visualization functions for real-time evacuation progression monitoring. Through multiple simulation tests under varied initial conditions (including occupant density, exit configurations, and obstacle distributions), we conducted comparative analysis of evacuation time, flow rate, and bottleneck identification. Our observations reveal significantly reduced evacuation speeds during peak occupancy periods, leading to congestion and chaotic movement patterns that amplify dangers. To mitigate these issues, our code implementation suggests algorithmic improvements for dynamic exit allocation and path optimization. Furthermore, we recommend architectural modifications including additional emergency exits and enhanced safety infrastructure to improve building resilience during emergencies. The simulation package includes parameter tuning modules for customizing scenario-specific evacuation protocols.