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

https://hdl.handle.net/10536/DRO/DU:30141585
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posted on 2024-06-13, 14:07 authored by GL Huang, K Deng, J He

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

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Related Materials

1.
DOI - Is version of https://doi.org/10.1007/s12559-020-09735-3

Location

Cham, Switzerland

Language

English

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

Journal

Cognitive Computation

Volume

12

Pagination

967-978

ISSN

1866-9956

eISSN

1866-9964

Issue

5

Publisher

SPRINGER

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Categories

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 3209 Neurosciences

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