Source Code of Cellular Automata Model for Traffic Flow Research

This source code implements a cellular automata model for traffic flow research, designed to simulate various traffic phenomena. Based on cellular automata theory, the model calculates and evolves the states of individual cells to replicate traffic flow patterns, congestion scenarios, velocity distributions, and traffic incident simulations. The implementation typically involves defining cell states (representing vehicle presence/absence), transition rules (acceleration, deceleration, randomization), and boundary conditions. Key algorithms may include the Nagel-Schreckenberg model for fundamental traffic dynamics or more advanced multi-lane interaction rules. This model serves as a valuable tool for traffic planning, transportation simulation, and urban traffic management applications, providing robust computational frameworks for researchers and practitioners in related fields. The code structure generally features modular components for rule definitions, state updates, and visualization modules to analyze emergent traffic behaviors.