Research On Coordinated Traffic Signal Control Of Urban Trunk Lines Based On Short-term Traffic Flow Forecasting

With the rapid development of economy,automobiles have become a necessary means of transportation for family travel,and the number of cars in each city has increased rapidly.However,the existing road infrastructure has been unable to meet the traffic demand,which will lead to more and more time spent on commuting,more and more serious road congestion,aggravation of vehicle idle pollution,frequent traffic accidents and a series of other issues.In order to solve the current traffic problems,it is not enough to broaden the scale of urban road network and build or rebuild urban roads.Therefore,it is necessary to adopt a combination of management and control.On the one hand,traffic volume should be reduced from the source,on the other hand,appropriate control schemes should be adopted to ensure the safe and fast operation of vehicles on the road.Taking short-term traffic flow as the breakthrough point,this paper constructs adaptive single-point control and adaptive trunk coordinated control,and studies and discusses the short-term traffic flow and speed prediction,signal cycle optimization at intersections,phase difference model framework considering incoming and outgoing traffic flow,and the selection of control strategies at different periods.Completion can be summarized as follows.(1)It is proposed that the short-term road traffic flow is forecasted by using BP neural network after classification and combined with the influencing factors.(2)The genetic algorithm is used to optimize the signal cycle parameters of each intersection.(3)The phase difference model of trunk line considering inward and outward traffic flow is constructed.(4)The above method is simulated by VISSIM secondary development(COM),and the index optimization of adaptive single point control,adaptive trunk coordinated control and adaptive combination control and original scheme is analyzed.The results show that the optimal combination scheme based on short-term traffic flow prediction and phase difference model is effective in adaptive single-point control and adaptive trunk coordinated control,which can effectively reduce road vehicle delay and improve commuting efficiency.