Model Of Integration Of User Equilibrium And System Equilibrium In Urban Intelligence Transportation System

The research of traffic control system and traffic guidance system integration is an important and complicated subject. The existing research has not really integrated the two systems and does not perfectly coordinate between User Equilibrium and System Equilibrium. The article will have a deep discussion about the comprehensive module of traffic control system and traffic guidance system as well as User Equilibrium and System Equilibrium principle.In the intelligent traffic system, traffic governor hope to allot traffic flow by System Equilibrium principle while passengers could only choose appropriate paths by Use Equilibrium principle based on traffic information. The two principles are different with conflicting Game relationship. The article brings forth a reasonable traffic consuming module to coordinate the Game relationship and improve road network efficiency, that is, the optimized or almost optimized status of the system and customer-optimized status with traffic information lacking could come into fact when the traffic governor allot traffic flow based on System Equilibrium principle, take passenger's path choosing behavior into consideration and take the preponderant advantages to make the traffic flow at optimized or almost optimized status through traffic control system and guidance system.The article sets up System Equilibrium and User Equilibrium coordination module regarding on the allocation and guidance problems existing in the traffic control system and traffic guidance system. The module is a Game relationship between passenger and guidance system which is used for User to determine the best path by User Equilibrium principle. The goal of the module is to realize system optimization. The variable is route guidance information and traffic signal timing while the method is to take use of guidance information for passenger to choose appropriate path. And Particle　Swarm　Optimization Algorithm for the module is designed in the article. Finally we carry out the emulation against the small virtual urban road network, validate the predicted result of the module and analysis the convergence and efficiency of the algorithm.