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Pinning Control Method For Controllable Itelligent Urban Taffic Network

Posted on:2020-11-21Degree:MasterType:Thesis
Country:ChinaCandidate:J N MaoFull Text:PDF
GTID:2392330599475058Subject:Transportation engineering
Abstract/Summary:PDF Full Text Request
The growth of urban traffic demand requires better management and control methods for urban traffic network.Fortunately,the gradually "Intelligent" urban road network makes the access to the traffic data much easier,providing a data foundation for intelligent traffic control.However,most of the existing regional signal control strategies need to build complex models and require a large number of accurate OD sets,and it is a difficult and hot point in transportation researches.In response to this situation,the Macroscopic Fundamental Diagrams(MFD)was proposed to analyze the characteristics of the entire regional transportation network by utilizing some easy access data such as network traffic flow and vehicle numbers.Furthermore,it is combined with the perimeter control method to reach the goal of collaborative control of a certain range of regional road networkNevertheless,the global or random control at the network perimeter is undoubtedly costly and unsuitable for actual control operations.With this consideration,this paper proposes a road network congestion control method that considers the pinning control strategy,and only implements perimeter control on the important intersections of the network,which mainly includes the following three aspects(1)In order to pick out the nodes suitable for pinning control,the actual road network needs to be topologized first.Considering the background of this research is congestion controlling,the primal approach is chosen to topologically process the actual road network based on the complex network theory(2)On the basis of the existing node importance evaluation methods,it is necessary to take into account the driving capability of the intersections when evaluating the node importance for network control.With this point of view,the eigenvector centrality method:weighted PageRank algorithm,is selected to evaluate the importance of the intersection node according to the functional characteristics and dynamic characteristics of the road network(3)In terms of the MFD theory,maintaining the number of vehicles on the road network to a certain value can optimize the operation efficiency of the entire network.To achieve this goal,the perimeter control model and feedback controller are singled out.At the same time,the linearization of the state equation of the road network and the selection and design of the feedback controller are analyzed and deduced.In addition,aiming at reducing the control cost,a pinning control strategy is added to control the boundary intersections which have strong driving capability.The case study results show that the perimeter pinning control method with a strong operability can achieve similar or even better results to the full-perimeter control method,and is a cost-effective control method with more maneuverability.
Keywords/Search Tags:Macroscopic Fundamental Diagrams(MFD), Complex Network, Node importance, Perimeter Control, Feedback Control, Pinning Control
PDF Full Text Request
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