Detection of Outliers in a Time Series of Available Parking Spaces
Joint Authors
Tang, Dounan
Guo, Weihong
Blythe, Phil T.
Ji, Yanjie
Ren, Gang
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-03-24
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
With the provision of any source of real-time information, the timeliness and accuracy of the data provided are paramount to the effectiveness and success of the system and its acceptance by the users.
In order to improve the accuracy and reliability of parking guidance systems (PGSs), the technique of outlier mining has been introduced for detecting and analysing outliers in available parking space (APS) datasets.
To distinguish outlier features from the APS’s overall periodic tendency, and to simultaneously identify the two types of outliers which naturally exist in APS datasets with intrinsically distinct statistical features, a two-phase detection method is proposed whereby an improved density-based detection algorithm named “local entropy based weighted outlier detection” (EWOD) is also incorporated.
Real-world data from parking facilities in the City of Newcastle upon Tyne was used to test the hypothesis.
Thereafter, experimental tests were carried out for a comparative study in which the outlier detection performances of the two-phase detection method, statistic-based method, and traditional density-based method were compared and contrasted.
The results showed that the proposed method can identify two different kinds of outliers simultaneously and can give a high identifying accuracy of 100% and 92.7% for the first and second types of outliers, respectively.
American Psychological Association (APA)
Ji, Yanjie& Tang, Dounan& Guo, Weihong& Blythe, Phil T.& Ren, Gang. 2013. Detection of Outliers in a Time Series of Available Parking Spaces. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-1031881
Modern Language Association (MLA)
Ji, Yanjie…[et al.]. Detection of Outliers in a Time Series of Available Parking Spaces. Mathematical Problems in Engineering No. 2013 (2013), pp.1-12.
https://search.emarefa.net/detail/BIM-1031881
American Medical Association (AMA)
Ji, Yanjie& Tang, Dounan& Guo, Weihong& Blythe, Phil T.& Ren, Gang. Detection of Outliers in a Time Series of Available Parking Spaces. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-1031881
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1031881