A trajectory outlier detection method based on variational auto-encoder

Trajectory outlier detection can identify abnormal phenomena from a large number of trajectory data, which is helpful to discover or predict potential traffic risks. In this work, we proposed a trajectory outlier detection model based on variational auto-encoder. First, the model encodes the traject...

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Bibliographic Details
Published in:	Mathematical Biosciences and Engineering
Main Authors:	Longmei Zhang, Wei Lu, Feng Xue, Yanshuo Chang
Format:	Article
Language:	English
Published:	AIMS Press 2023-07-01
Subjects:	trajectory outlier detection machine learning variational auto-encoder trajectory similarity
Online Access:	https://www.aimspress.com/article/doi/10.3934/mbe.2023675?viewType=HTML

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