Research On Optimizing Coordination Control Of Vehicle Traffic On Urban Transportation Trunk Line

With the acceleration of urbanization,traffic congestion has become increasingly prominent.Urban inherent road network is facing more and more traffic pressure.Developing intelligent transportation system is the most effective way to solve this problem.Traffic signal control system is an important subsystem of Intelligent Transportation System.Reasonable signal control can effectively improve the traffic efficiency of trunk vehicles.The coordinated control of multi-trunk signal has higher engineering application value and theoretical value.Traffic signal control problem has the characteristics of complexity,non-linearity,uncertainty and so on.It is difficult to express and solve with accurate systel mathematical model.Fuzzy control has great advantages in dealing with complex non-linear systems because it does not need accurate mathematical models.It is widely used in intelligent traffic control systems.In order to solve the shortcomings of typical fuzzy control in dealing with uncertainties,based on the theory of Two-type fuzzy control,this paper adds a new dimension to the membership function of the system to describe its uncertainties,and studies the traffic signal control strategy.The main work of this paper is as follows:The theory of traffic signal control is studied.The rationality of using fuzzy theory and two-type fuzzy controller to solve the problem of trunk signal control is systematically analyzed.On this basis,the traffic signal control of single intersection is studied.Taking urban trunk intersection as an example,a four-phase control model based on two-type fuzzy control is established,which solves the disadvantage that membership function of typical fuzzy control can not be adaptively changed.According to the actual traffic flow data of large trunk single intersection,the optimal signal control scheme is obtained by taking average delay as the final optimization index.The effectiveness of the control strategy is verified by simulation software.The coordinated control of traf’fic signals at multiple intersections on trunk lines is studied.Based on the fuzzy control of large single intersection of trunk line and the road reality,according to the correlation analysis of adjacent intersections and the evaluation index model of trunk line.the periodic fuzzy controller and phase difference fuzzy controller are designed,and the secondary fuzzy structure is established.The grassroots control level allocates reasonable traffic rights and obtains the green light traffic time of each phase.When the trunk line coordination level is in the trunk line direct phase,the green light delay correction of the trunk line direct phase is adjusted according to the number of vehicles between adjacent intersections to achieve the minimum delay control.The membership function and fuzzy rules are optimized and adjusted by improved genetic algorithm and optimal-worst ant colony algorithm respectively.Combining with the reality of urban trunk roads,the simulation software is used to verify the control effect.The results show that the improved fuzzy control method has certain advantages in solving traffic signal control problems.Compared with the traditional control mode,the main control indicators have been optimized and improved,and the traffic efficiency has been effectively improved.It has good engineering value and certain theoretical value.