Maritime Traffic Networks: From Historical Positioning Data to Unsupervised Maritime Traffic Monitoring-Reference-Cited by-同舟云学术

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Maritime Traffic Networks: From Historical Positioning Data to Unsupervised Maritime Traffic Monitoring

Published:2018-03 Issue:3 Volume:19 Page:722-732
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Fernandez Arguedas Virginia^ORCID,Pallotta Giuliana,Vespe Michele^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/8307503/07933987.pdf?arnumber=7933987

Cited by 104 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A data mining-then-predict method for proactive maritime traffic management by machine learning;Engineering Applications of Artificial Intelligence;2024-09

2. Analyzing the spatio-temporal correlation between tide and shipping behavior at estuarine port for energy-saving purposes;Applied Energy;2024-08

3. AIS-based kinematic anomaly classification for maritime surveillance;Ocean Engineering;2024-08

4. Maritime traffic partitioning: An adaptive semi-supervised spectral regularization approach for leveraging multi-graph evolutionary traffic interactions;Transportation Research Part C: Emerging Technologies;2024-07

5. Mobility Data Mining: the Maritime Use Case;2024 11th International Workshop on Metrology for AeroSpace (MetroAeroSpace);2024-06-03

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