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Cognitive traffic anomaly prediction from GPS trajectories using Visible Outlier Indexes and Meshed Spatiotemporal Neighborhoods

journal contribution

posted on 2020-01-01, 00:00 authored by Belinda Huang, K Deng, J He

Cognitive traffic anomaly prediction from GPS trajectories using Visible Outlier Indexes and Meshed Spatiotemporal Neighborhoods

History

Journal

Cognitive computation

Volume

12

Pagination

967 - 978

Publisher

Springer

Location

Cham, Switzerland

Publisher DOI

https://doi.org/10.1007/s12559-020-09735-3

ISSN

1866-9956

eISSN

1866-9964

Language

eng

Author URL

http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000555673900002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

Publication classification

C1.1 Refereed article in a scholarly journal

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Categories

Artificial intelligence not elsewhere classified

Keywords

Science & Technology Technology Life Sciences & Biomedicine Computer Science, Artificial Intelligence Neurosciences Computer Science Neurosciences & Neurology Cognitive anomaly prediction Trajectories Abnormal levels Visible outlier indexes Spatiotemporal neighborhoods FLOW PREDICTION Artificial Intelligence and Image Processing

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All Rights Reserved

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