Modeling Vessel Behaviours by Clustering AIS Data Using Optimized DBSCAN

Modeling Vessel Behaviours by Clustering AIS Data Using Optimized DBSCAN

Today, maritime transportation represents a substantial portion of international trade. Sustainable development of marine transportation requires systematic modeling and surveillance for maritime situational awareness. In this paper, we present an enhanced density-based spatial clustering of applica...

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Bibliographic Details
Main Authors: Xuyang Han, Costas Armenakis, Mojgan Jadidi
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sustainability
Subjects:
DBSCAN
vessel trajectory clustering
Mahalanobis metric
machine learning
marine transportation
Online Access:https://www.mdpi.com/2071-1050/13/15/8162

Internet

https://www.mdpi.com/2071-1050/13/15/8162

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