An Improved Robust Principal Component Analysis Model for Anomalies Detection of Subway Passenger Flow

An Improved Robust Principal Component Analysis Model for Anomalies Detection of Subway Passenger Flow

Subway is an important transportation means for residents, since it is always on schedule. However, some temporal management policies or unpredicted events may change passenger flow and then affect passengers requirement for punctuality. Thus, detecting anomaly event, mining its propagation law, and...

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Bibliographic Details
Main Authors:	Xuehui Wang, Yong Zhang, Hao Liu, Yang Wang, Lichun Wang, Baocai Yin
Format:	Article
Language:	English
Published:	Wiley 2018-01-01
Series:	Journal of Advanced Transportation
Online Access:	http://dx.doi.org/10.1155/2018/7191549
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