Research On Urban Traffic Control And Guidance System Based On Multi-Agent And Game Theory

Intelligent Transportation System (ITS) is the orientation of development of transportation. Urban Intelligent Transportation System consists of several subsystems, and urban traffic control system and traffic guidance system are the key ones.At the present time, traffic control and traffic guidance are two important methods of urban transportation management. And there is the close connection between them and they can complement one another. Research on the more closely integrated system of traffic control and guidance is the main orientation of ITS researches.This research has a great of academic and realistic meaning.For the Characteristics of urban traffic are complex, levity and distribution, the Multi-Agent Technology and Game Theory are adopted in the in-depth research of the urban traffic control and guidance system.Firstly, coordination between traffic control and traffic guidance in the urban traffic control and guidance system is analyzed. And SO-UE coordinated model under the condition of guidance information is built.In the model, SO is the system optimization,and UE is the user equilibrium. And a simplified simulation has been done with the desired results.Secondly, a game theoretical Model based on Multi-Agent of the urban traffic control and guidance system is built with Multi-Agent technology and game theory. And all kinds of Agents in the model are designed, and then the coordination mechanism, game process and algorithm are discussed. At the same time, evaluating indicator of the research is chosen. Then, a simplified simplified simulation has been done with the good results, which the control with the game theoretical coordination based on Multi-Agent contributes towards efficient road use, better traffic flow in the city.Thirdly, some vital technology problem of the game theoretical Model based on Multi-Agent need to be solved for the research of the system, such as communication mechanism between the Agents in the model and Traveling Agent Problem of the Mobile Agent. In the paper, several praposals are offered for optimization of communication mechanism of the Mobile Agent, and an improved Ant Colony Algorithm is proposed to solve the Traveling Agent Problem. Fourthly, in the frame of Urban Police ITS, a slassical urban traffic control and guidance system is designed with the game theoretical Model based on Multi-Agent. At the same time, urban traffic management and command center is design in detail.In a word, research on urban traffic control and guidance system based on Multi-Agent and Game Theory can deliver a new idea and methods to solve traffic problem in big city, and the system can actually contribute towards efficient road use, better traffic flow, greater road safety and improved accessibility in the city.