Abnormal Trajectory Detection Based on Geospatial Consistent Modeling

Abnormal Trajectory Detection Based on Geospatial Consistent Modeling

Anomalous trajectory detection plays a significant role in fraud detection and adverse events monitoring for ride-hailing services. The spatial and temporal dynamics of road networks and the sparsity of trajectories make anomalous trajectory detection a challenging task. Most existing methods are ba...

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Bibliographic Details
Main Authors: Haiquan Wang, Jiachen Feng, Leilei Sun, Kaiqiang An, Guoping Liu, Xiang Wen, Runbo Hu, Hua Chai
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Anomalous trajectory detection
trajectory embedding
geospatial consistent
deep neural networks
Online Access:https://ieeexplore.ieee.org/document/9214405/

Internet

https://ieeexplore.ieee.org/document/9214405/

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