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Robust Missing Traffic Flow Imputation Considering Nonnegativity and Road Capacity
Joint Authors
Wang, Wu-hong
Cheng, Bin
Wu, Yuankai
Tan, Huachun
Ran, Bin
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-18
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
There are increasing concerns about missing traffic data in recent years.
In this paper, a robust missing traffic flow data imputation approach based on matrix completion is proposed.
In the proposed method, the similarity of traffic flow from day to day is exploited to impute missing data by the low-rank hypothesis of constructed traffic flow matrix.
And the physical limitation of road capacity and nonnegativity is also considered through the optimization process, which avoids the possibility of producing negative and overcapacity values.
Moreover, the proposed algorithm can impute missing data and recover outlier in a unify framework.
The experiment results show that the proposed method is more accurate, stable, and reasonable.
American Psychological Association (APA)
Tan, Huachun& Wu, Yuankai& Cheng, Bin& Wang, Wu-hong& Ran, Bin. 2014. Robust Missing Traffic Flow Imputation Considering Nonnegativity and Road Capacity. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-496887
Modern Language Association (MLA)
Tan, Huachun…[et al.]. Robust Missing Traffic Flow Imputation Considering Nonnegativity and Road Capacity. Mathematical Problems in Engineering No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-496887
American Medical Association (AMA)
Tan, Huachun& Wu, Yuankai& Cheng, Bin& Wang, Wu-hong& Ran, Bin. Robust Missing Traffic Flow Imputation Considering Nonnegativity and Road Capacity. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-496887
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-496887