Diagnosing urban traffic anomalies by integrating geographic knowledge and tensor theory

Zilong Zhaoa State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, ChinaView further author information

Luliang Tanga State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, ChinaCorrespondence[email protected]
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Chang Renb College of Air Traffic Management, Civil Aviation Flight University of China, Guanghan, ChinaView further author information

Xue Yangc School of Geography and Information Engineering, China University of Geosciences, Wuhan, ChinaView further author information

Zihan Kand Department of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, Hong Kong, China;e Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong, ChinaView further author information

Qingquan Lif Guangdong Key Laboratory of Urban Informatics, Shenzhen University, Shenzhen, China;g College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, ChinaView further author information

Diagnosing urban traffic anomalies by integrating geographic knowledge and tensor theory

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Diagnosing urban traffic anomalies by integrating geographic knowledge and tensor theory

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