Explore MATLAB source code curated for "交通流仿真" with clean implementations, documentation, and examples.
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.
Rule 184 Cellular Automaton and the Nagel-Schreckenberg Model: Computational frameworks for traffic flow analysis and simulation
Traffic flow simulation using cellular automata NS model source code, fully functional implementation, includes acceleration/deceleration and randomization algorithms for realistic vehicle behavior simulation
Dual-lane traffic flow simulation system designed for educational purposes and continuous development, featuring customizable parameters and traffic control implementations
Utilizing a cellular automata-based model for highway traffic flow simulation under accident scenarios, this approach evaluates road safety by outputting traffic conflict counts under varying vehicle size ratios and flow conditions, with implementation tracking vehicle interactions and collision probabilities through state transition rules.
This program simulates logistics movement within a transportation network, implementing a dynamic shortest-path selection algorithm. The system prioritizes shortest paths when viable, and recalculates alternative routes when capacity constraints are encountered at intermediate nodes. The core path-finding function requires iterative invocation to maintain optimal routing decisions throughout the simulation.