Scheduling control of AGV system based on game theory

This paper does a research on how to improve the operating efficiency of the multi-AGV system, and establish the AGV scheduling model with an algorithm that is designed to optimize scheduling process. The algorithm confirms the initial scheduling strategy first, and then optimal scheduling based on game theory. Using game theory could help the system to choose the most appropriate AGV to do one task in a short time and that would reduce the whole response time of the system and could also improve the efficiency of the system. This paper use the regulate speed policy to avoid the conflict and that could help to maximize the efficiency of the system. It is proved with the simulation that the strategy improves flexibility, robustness and efficiency of the AGV system.