Correlation Analysis and Data Repair of Loop Data in Urban Expressway based on Co-integration Theory
Correlation between road sections has a strong practical significance in traffic raw data repair, precision control and traffic prediction. In this paper, the co-integration theory of econometrics is applied to correlation analysis of the traffic flow parameters series based on loop detection data of Shanghai expressway. Then the authors establish the data repair model according to the plane geometry types of road, based on the correlation between road sections. Experimental instances show that compared with traditional approaches, this method can reduce the error of data repair, and has a good practical prospect.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/18770428
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Supplemental Notes:
- © 2013 Liu Heng et al.
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Authors:
- Heng, Liu
- Zhengyu, Duan
- Xiaofa, Shi
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Conference:
- 13th COTA International Conference of Transportation Professionals (CICTP 2013)
- Location: Shenzhen , China
- Date: 2013-8-13 to 2013-8-16
- Publication Date: 2013-11-6
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: pp 798-806
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Serial:
- Procedia - Social and Behavioral Sciences
- Volume: 96
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 1877-0428
- Serial URL: http://www.sciencedirect.com/science/journal/18770428/53
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Correlation analysis; Econometrics; Expressways; Loop detectors; Traffic data
- Uncontrolled Terms: Co-integration theory; Missing data
- Geographic Terms: Shanghai (China)
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; I73: Traffic Control;
Filing Info
- Accession Number: 01503597
- Record Type: Publication
- Files: TRIS
- Created Date: Jan 14 2014 1:54PM