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An Improved Robust Principal Component Analysis Model for Anomalies Detection of Subway Passenger Flow
2018
Journal of Advanced Transportation
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 revealing its potential impact are important and helpful for improving management strategy; e.g., subway emergency management can predict flow change under the condition of knowing specific policy
doi:10.1155/2018/7191549
fatcat:rob45qotgvbxthm63mg5rmgpfi