A comparison of trajectory compression algorithms over AIS data

Today's industry is flooded with tracking data originating from vessels across the globe that transmit their position at frequent intervals. These voluminous and high-speed streams of data has led researchers to develop novel ways to compress them in order to speed-up processing without losing...

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Veröffentlicht in:	IEEE access 2021-01, Vol.9, p.1-1
Hauptverfasser:	Makris, Antonios, Kontopoulos, Ioannis, Alimisis, Panagiotis, Tserpes, Konstantinos
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial intelligence Clustering algorithms Compression algorithms Compression ratio Compression tests Data compression Data transmission Dead reckoning Error metrics Heuristic algorithms Kinematics Loss measurement lossy compression techniques Performance evaluation Shape similarity measures simplifying trajectory algorithms Tracking Trajectory Trajectory analysis trajectory compression algorithm trajectory similarity
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