A model-based demand-balancing control for dynamically divided multiple urban subnetworks
Lin, Shu1,2; Kong, Qing-Jie3; Huang, Qingming1,2
Source PublicationJOURNAL OF ADVANCED TRANSPORTATION
2016-10-01
Volume50Issue:6Pages:1046-1060
SubtypeArticle
AbstractTraffic control is an effective and efficient method for the problem of traffic congestion. It is necessary to design a high-level controller to regulate the network traffic demands, because traffic congestion is not only caused by the improper management of the traffic network but also to a great extent caused by excessive network traffic demands. Therefore, we design a demand-balance model predictive controller based on the macroscopic fundamental diagram-based multi-subnetwork model, which can optimize the network traffic mobility and the network traffic throughput by regulating the input traffic flows of the subnetworks. Because the transferring traffic flows among subnetworks are indirectly controlled and coordinated by the demand-balance model predictive controller, the subnetwork division can variate dynamically according to real traffic states, and a global optimality can be achieved for the entire traffic network. The simulation results show the effectiveness of the proposed controller in improving the network traffic throughput. Copyright (c) 2016 John Wiley & Sons, Ltd.
KeywordTraffic Network Control Urban Road Network Macroscopic Fundamental Diagram Traffic Flow Equilibrium
WOS HeadingsScience & Technology ; Technology
DOI10.1002/atr.1389
WOS KeywordPREDICTIVE CONTROL ; TRAFFIC NETWORKS ; FUNDAMENTAL DIAGRAM ; CONGESTION CONTROL ; PERIMETER CONTROL ; SIGNAL CONTROL ; EXISTENCE ; CITIES
Indexed BySCI
Language英语
Funding OrganizationNational Science Foundation of China(61203169 ; Chinese International Cooperation Project of National Science Committee(71361130012) ; Beijing Natural Science Foundation(4142055) ; Early Career Development Award of SKLMCCS ; European COST Action(TU1102) ; 61473288 ; 61433002 ; 61025011 ; 61332016)
WOS Research AreaEngineering ; Transportation
WOS SubjectEngineering, Civil ; Transportation Science & Technology
WOS IDWOS:000386040200007
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/13335
Collection复杂系统管理与控制国家重点实验室_先进控制与自动化
Affiliation1.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing, Peoples R China
2.Chinese Acad Sci, Key Lab Big Data Min & Knowledge Management, Beijing, Peoples R China
3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Lin, Shu,Kong, Qing-Jie,Huang, Qingming. A model-based demand-balancing control for dynamically divided multiple urban subnetworks[J]. JOURNAL OF ADVANCED TRANSPORTATION,2016,50(6):1046-1060.
APA Lin, Shu,Kong, Qing-Jie,&Huang, Qingming.(2016).A model-based demand-balancing control for dynamically divided multiple urban subnetworks.JOURNAL OF ADVANCED TRANSPORTATION,50(6),1046-1060.
MLA Lin, Shu,et al."A model-based demand-balancing control for dynamically divided multiple urban subnetworks".JOURNAL OF ADVANCED TRANSPORTATION 50.6(2016):1046-1060.
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