Pedestrian Evacuation Simulation

Resource Overview

Application Context: This simulation has been optimized with modified obstacles and exits, demonstrating effective evacuation scenarios. Built using MATLAB, the core simulation runs through xingrenshusan.m as the main program, with supporting functions: Dststspread.m for fire source propagation modeling, PopSn.m for evacuation logic, renyuanshusan.fig providing the GUI interface, and ShuSanDieDai.m implementing the evacuation iteration method as a called function. Key Features: Two additional exits have been implemented with modular code structure allowing easy addition of more exits through parameter modification. The codebase features comprehensive inline comments to assist researchers new to the simulation framework. Obstacle coordinates can be customized based on real-world layouts to create tailored evacuation environments.

Detailed Documentation

Application Context: This application is designed for evacuation simulation scenarios. Through modifications to obstacles and exit configurations, the evacuation performance has been significantly improved. The simulation is implemented in MATLAB with xingrenshusan.m serving as the main driver program. Key supporting files include Dststspread.m (modeling fire source propagation using spread algorithms), PopSn.m (containing core evacuation movement logic), renyuanshusan.fig (providing the graphical user interface layout), and ShuSanDieDai.m (implementing iterative evacuation methods as callable functions). Key Technical Features: The evacuation system incorporates two additional exits with a flexible architecture that allows programmers to easily add more exits through parameter adjustments in the configuration section. Every line of code includes detailed comments to facilitate understanding for researchers unfamiliar with the codebase. Obstacle placements can be customized using actual coordinate systems to replicate specific evacuation environments. The simulation employs agent-based movement algorithms and pathfinding methods to model pedestrian behavior during emergencies. For future enhancements, we plan to implement additional features including multi-floor evacuation scenarios, real-time hazard diffusion modeling, and performance optimization algorithms - stay tuned for updates!