UTN-Model-Based Traffic Flow Prediction for Parallel-Transportation Management Systems
文献类型:期刊论文
作者 | Kong, Qing-Jie1![]() ![]() ![]() |
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
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。