中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
UTN-Model-Based Traffic Flow Prediction for Parallel-Transportation Management Systems

文献类型:期刊论文

作者Kong, Qing-Jie1; Xu, Yanyan2; Lin, Shu2; Wen, Ding3; Zhu, Fenghua1; Liu, Yuncai2
刊名IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
出版日期2013-09-01
卷号14期号:3页码:1541-1547
关键词CORSIM fundamental diagram (FD) parallel-transportation management systems (PtMS) short-term traffic flow prediction urban traffic network (UTN) model
英文摘要Aiming to comply with the requirement of parallel-transportation management systems (PtMS), this paper presents a short-term traffic flow prediction method for signal-controlled urban traffic networks (UTNs) based on the macroscopic UTN model. In contrast with other time-series-based or spatio-temporal correlation methods, the proposed method focuses more on using the substantial mechanism of traffic transmission in road networks and the topology model of the entire UTN. Furthermore, this approach employs a speed-density model based on the fundamental diagram (FD) to obtain more accurate travel times in links. In the comparison experiment, the microscopic traffic simulation software CORSIM is adopted to simulate the real urban traffic. The experiment results fully verify the outstanding performances of the proposed prediction method.
WOS标题词Science & Technology ; Technology
类目[WOS]Engineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology
研究领域[WOS]Engineering ; Transportation
关键词[WOS]VOLUME ; NETWORKS
收录类别SCI
语种英语
WOS记录号WOS:000324336100046
源URL[http://ir.ia.ac.cn/handle/173211/3643]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200240, Peoples R China
3.Natl Univ Def Technol, Ctr Mil Computat Expt & Parallel Syst Technol, Changsha 410073, Hunan, Peoples R China
推荐引用方式
GB/T 7714
Kong, Qing-Jie,Xu, Yanyan,Lin, Shu,et al. UTN-Model-Based Traffic Flow Prediction for Parallel-Transportation Management Systems[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2013,14(3):1541-1547.
APA Kong, Qing-Jie,Xu, Yanyan,Lin, Shu,Wen, Ding,Zhu, Fenghua,&Liu, Yuncai.(2013).UTN-Model-Based Traffic Flow Prediction for Parallel-Transportation Management Systems.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,14(3),1541-1547.
MLA Kong, Qing-Jie,et al."UTN-Model-Based Traffic Flow Prediction for Parallel-Transportation Management Systems".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 14.3(2013):1541-1547.

入库方式: OAI收割

来源:自动化研究所

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