Traffic Pattern Mining and Forecasting Technologies in Maritime Traffic Service Networks: A Comprehensive Survey
Citations
122 citations
Additional excerpts
...In addition to using the above-mentioned satellite-based systems, navigational communication services can also be provided by shore-based systems, such as terrestrial AIS and coastal radars [229]....
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120 citations
Cites background from "Traffic Pattern Mining and Forecast..."
...In maritime IoT systems, the automatic identification system (AIS), which is an automated vessel selfreporting system, has been devoted to enabling intelligent vessel traffic services, such as maritime traffic monitoring, intelligent maritime navigation, and vessel collision avoidance, etc [1], [2]....
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Cites methods from "Traffic Pattern Mining and Forecast..."
...The data from such real-time observations are used by VTS operators to support proactive traffic management [8]....
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References
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79,257 citations
"Traffic Pattern Mining and Forecast..." refers methods in this paper
...Random forest [180], [181] is an ensemble learning method that relies on a combination of tree predictors(or classifiers)...
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37,861 citations
"Traffic Pattern Mining and Forecast..." refers methods in this paper
...supervised machine learning methods that can be used for classification purpose [172]....
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19,261 citations
17,056 citations
14,297 citations
"Traffic Pattern Mining and Forecast..." refers methods in this paper
...methodology [90], of which the patterns can be expanded and updated by incremental DBSCAN [91]....
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...In TREAD, waypoints are defined as stationary objects like ports and offshore platforms and entry and exit points [90], are clustered using DBSCAN...
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