Cognitive Traffic Anomaly Prediction from GPS Trajectories Using Visible Outlier Indexes and Meshed Spatiotemporal Neighborhoods-Reference-Cited by-同舟云学术

Cognitive Traffic Anomaly Prediction from GPS Trajectories Using Visible Outlier Indexes and Meshed Spatiotemporal Neighborhoods

Published:2020-07-29 Issue:5 Volume:12 Page:967-978
ISSN:1866-9956
Container-title:Cognitive Computation
language:en
Short-container-title:Cogn Comput

Author:

Huang Guang-Li^ORCID,Deng Ke,He Jing

Publisher

Springer Science and Business Media LLC

Subject

Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition

Link

https://link.springer.com/content/pdf/10.1007/s12559-020-09735-3.pdf

Reference32 articles.

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5. Chen D. Research on traffic flow prediction in the big data environment based on the improved rbf neural network. IEEE Trans Industrial Inform 2017;13(4):2000–2008.

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