The Fuzzy Signal Coordinated Control Model Based On Game At Intersection

The intersection signal control is an important way to optimize the urban road network and coordinate the development of urban traffic.Under the big background of accelerate new urbanization construction in our country,research into the methods of improve road traffic network utility has great significance for coping with urban traffic pressure,promote the harmonious and orderly development of road traffic and the positive changes of urban space and structure.In this paper,research from the point of signal control optimization at intersection,the double-objective nonlinear programming model between adjacent intersections is established by game theory,and the fuzzy control method is used for optimization analysis the intersection.Specific content as follows:The first chapter,an important part of traffic in our country is introduced,means the historical development and current situation of the control at intersection,the research purpose and meaning of signal control system at intersection is discussed,the various views and research results of signal intersection from domestic and foreign scholars is summarized,the main content and direction of the study is given.The second chapter,first of all,the target model of signal control system at single intersection is established from the perspective of single signal intersection.And the game approach is used to establish the price game model of the coordinated control between adjacent signal intersection control systems,further than the Nash equilibrium solution is obtained from the bid section and bargain section.And from the perspective of balanced coordination,the double-objective nonlinear programming model under the harmonious and unified of system equilibrium and user equilibrium is established based on the system goal and the price game model of the coordinated control between adjacent signal intersection control systems.The third chapter,the nonlinear programming model of intelligent coordination control between adjacent signal intersections from the second chapter being fuzzy analyzed by fuzzy methods.The relationship between real-time traffic flow and control performance at intersection is shown by the fuzzy membership functions of all parameters.Under a certain membership cut set the optimal solution is obtained bygive elastic index to the fuzzy parameters,the satisfactory control effect is achieved.In the end,the corresponding algorithm is designed based on the double-odjective nonlinear programming model from the study.Examples show that: under the condition of certain membership cut set to seek the optimal fuzzy intersection signal coordination control model based on the game,the reasonable intersection signal control period is obtained according to the flow characteristics of intersection in each direction,than optimize the green-time-rate of signal phase,and give the full play to the initiative of the coordination between adjacent intersections by the game model,than the utility of the road network system is improved,the utility of the T-intersection is improved 12 to 16 percent and the utility of the cross-intersection is improved about20 percent by comparing the fuzzy control double-objective nonlinear programming model and fixed signal double-objective nonlinear programming model,the practicablity of the model and the effectiveness of fuzzy control method is proved.The fourth chapter the main work and innovation of this paper are summarized,the shortcomings of the paper are pointed out,and the direction for further research is proposed.