Research On Signal Control Time Division Method Under Coordinated Control

At this stage,multi-period control is considered to be a reliable and practical control method.Multi-period signal control can effectively improve the traffic efficiency of the road network and relieve urban congestion.As the main artery of urban traffic,arterial line,its signal control effect affects the traffic development of the whole city.However,at this stage,multi-period control is mostly applied to a single intersection,and there is still a lack of research on multi-period division methods under coordinated control of trunk lines.Based on this,this paper combines multi-period division with coordinated control of trunk lines to study the signal under coordinated control.The control period division method is used to further optimize the control effect of the arterial line and improve the coordination control efficiency of the arterial line,so as to improve the current situation of urban congestion and improve the efficiency of traffic flow.Firstly,based on the research of domestic and foreign literature,this paper concludes that the division of signal time periods under coordinated control is studied from the clustering algorithm.Based on this,the basic parameters and evaluation indicators under the coordinated control are analyzed,and it is concluded that in addition to the default clustering factor of flow,other clustering factor parameters that can represent the coordinated control and participate in the clustering analysis are obtained.Finally,the traffic flow,the average queue length and the reliability of parking spots are selected as the clustering factor parameters for the following analysis,and then compare and analyze the three commonly used clustering algorithms,and select the ordered clustering algorithm suitable for the division of the signal control period in this paper.Secondly,by improving the ordered clustering algorithm,the two steps of solving the class diameter and establishing the objective function are selected,and the Euclidean distance calculation method is introduced.Clustering a single objective function,and then synthesizing the single objective function under three clustering parameters to construct an improved ordered clustering multi-objective function,the multi-objective model of the signal control period division under the coordinated control in this paper is obtained,and the multi-objective function processing is given Way.Finally,through the comparative analysis of various solving algorithms,it is proposed to use the multi-objective particle swarm algorithm to solve the improved ordered multi-objective function established in this paper,and sorted out the process of using the selected multi-objective particle swarm algorithm to solve the improved ordered clustering multi-objective function established under the coordination time division.And select Qingdao Road in Jinan City as a case for analysis and verification.According to the basic research data,analyze the three clustering factor parameters,and use the multiobjective particle swarm algorithm in the MATLAB programming software to solve the multi-objective function model of the improved ordered clustering.The maximum queuing length,average queuing length and average number of stops are selected as the evaluation indicators to verify the effectiveness of the coordinated control period division method proposed in this paper,and provide new ideas and methods for the actual multiperiod trunk line coordinated control.