Predicting vessel speed in the Arctic without knowing ice conditions using AIS data and decision trees

Predicting vessel speed in the Arctic without knowing ice conditions using AIS data and decision trees

The vessel speed is one of the important parameters that govern safety, emergency, and transport planning in the Arctic. While previous studies have traditionally relied on physics-based simulations to predict vessel's speed in ice-covered waters, most have not fully explored data-driven approa...

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Bibliographic Details
Main Authors: Prithvi S Rao, Ekaterina Kim, Bjørnar Brende Smestad, Bjørn Egil Asbjørnslett, Anirban Bhattacharyya
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Maritime Transport Research
Subjects:
Arctic
AIS
Decision trees
Speed
Online Access:http://www.sciencedirect.com/science/article/pii/S2666822X21000162

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