The Integrated Intelligent Control Framework of Subway Train Based-on Multi-agent

Based on the analysis of movement of subway train, the model of train operation adjustment problem is constructed. In this model, decreasing the total delay time and increasing the absorption to passengers of the successive trains are taken as the object. After the analysis of the character of multi-agent, the integrated control framework based on multi-agent is proposed, in which the artificial intelligence and network technology are syncretized into multi-agent. The system is divided into manager agent, region agent and train agent, it can respond and cooperated control dynamically according to the environment, so it can adjust the unexpected event automatically during the train operation and improve the operation ability of the line. The simulation result shows the train operation adjustment control based on multi-agent is reliable and effective.