The Vessel route pattern extraction and anomaly detection from AIS data

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2019

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Boztepe, Gözde

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The need for a variety of auxiliary analytical tools to enhance marine safety and marine status awareness has been expressed by various platforms. There are lots of data sources breaking out while the ship is on cruising. Automatic Identification System (AIS) device that is widely used in vessels, is one of them. It broadcasts information such as type of ship, identity number, state, destination, estimated time of arrival (ETA), location, speed, direction, cargo. In this study, to aid operators while sailing, the trajectory extraction and anomaly detection tool have been developed. The AIS messages are used to improve a system for safe navigation. Three different approaches are applied for the prediction of the vessel trajectories. Later, movements that have not matched the route patterns and unusual stop anomalies have been examined.

Subject Keywords

AIS, trajectory, anomaly, LSTM, vessel, maritime

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http://etd.lib.metu.edu.tr/upload/12623897/index.pdf
https://hdl.handle.net/11511/44461

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Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

G. Boztepe, “The Vessel route pattern extraction and anomaly detection from AIS data,” Thesis (M.S.) -- Graduate School of Natural and Applied Sciences. Computer Engineering., Middle East Technical University, 2019.