Research On Trunk Line Coordination Control Technology In Intelligent Network Environment

In recent years,with the increase of urban car ownership,the phenomenon of urban trunk road congestion has become more and more serious,and it has gradually become a worldwide problem that restricts the sustainable development of cities.Traffic signal control is an effective way to alleviate traffic congestion,and with the development of intelligent network technology With the development of the network,the coordinated control technology of the networked trunk line combined with the traditional trunk line signal control strategy has become one of the important means to improve the efficiency of traffic operation.Reasonable use of environmental perception and information interaction provided by the networked environment.The data analysis function helps to optimize the traffic flow operation structure and improve the urban traffic service level.Based on the analysis of the current situation of the waste of time and space resources and the poor coordination of timing signals between the intersections,the paper takes the speed guidance as the starting point,and controls the continuous speed guidance,speed guidance and signal timing in the arterial line.Two aspects have been studied,and the main work is as follows:(1)A vehicle speed guidance method for green wave optimization is proposed.By analyzing the corresponding relationship between the vehicle speed and the signal state of the intersection,the traffic flow is divided by the idea of classification control,and the acceleration and deceleration guidance schemes are formulated respectively.On the basis of the constraint relationship of guidance,a vehicle speed guidance model of continuous road sections is established for speed guidance;with the traffic efficiency of vehicles passing through arterial intersections as the optimization goal,the bat algorithm is used to optimize the guidance vehicle speed point;Effectiveness of the velocity boot method.(2)For the vehicle-road collaboration scenario,a collaborative optimization method for signal control and vehicle speed guidance is proposed.Aiming at the cooperative control problem of the arterial system,firstly,a two-layer planning model for signal control and vehicle speed guidance is established,and the maximum continuous throughput of arterial vehicles is taken as the optimization objective of the upper layer function,and the rolling time algorithm is used to optimize the guiding speed.The minimum average vehicle delay is the optimization objective of the lower layer function,and the signal phase difference is optimized on the basis of considering the influence of uncoordinated phases and timing constraints.Then,the improved bat algorithm is used to optimize the solution.Finally,the accuracy of the method is verified by simulation experiments.