元胞自动机 Resources

Showing items tagged with "元胞自动机"

This project employs cellular automata methodology to analyze public safety evacuation scenarios. A comprehensive occupant evacuation model (OEM) was developed based on fundamental assumptions and implemented through MATLAB simulation. The implementation features grid-based pathfinding algorithms with collision avoidance logic, utilizing matrix operations for efficient state updates. Multiple simulation tests under varying initial conditions were conducted, comparing evacuation efficiency metrics. The analysis yielded evidence-based recommendations for enhancing safety protocols and evacuation strategies in public spaces to minimize casualties during emergencies.

MATLAB 2123 views Tagged

A comprehensive MATLAB cellular automata program for traffic flow simulation, featuring configurable parameter settings, rule definitions, numerical simulation capabilities, and built-in data collection for traffic flow analysis with statistical processing functions.

MATLAB 305 views Tagged

This work develops an emergency evacuation simulation for metro stations based on cellular automata, implemented using MATLAB to visualize crowd evacuation dynamics and calculate evacuation time metrics. The simulation employs probabilistic movement rules and obstacle avoidance algorithms to model pedestrian behavior, with results providing data-driven insights for optimizing evacuation strategies.

MATLAB 323 views Tagged

The NS cellular automaton implements rule-based simulation for traffic flow modeling. It provides a closed-loop system where vehicles circulate continuously, suitable for road traffic simulations with configurable parameters for vehicle behavior and road conditions.

MATLAB 317 views Tagged

MATLAB program for implementing cellular automata (CA) - a computational model used to simulate local rules and interactions. This implementation defines CA on a grid structure where each cell represents a discrete entity with finite states. The core algorithm applies transition rules simultaneously to all cells based on their current state and the states of their neighboring cells (typically 4 or 8 neighbors). Cellular automata find applications in physics simulation, biological modeling, and complex system analysis.

MATLAB 247 views Tagged