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

• Published in: Maritime Transport Research
• Main Authors: Prithvi S Rao, Ekaterina Kim, Bjørnar Brende Smestad, Bjørn Egil Asbjørnslett, Anirban Bhattacharyya
• Format: Article in Journal/Newspaper
• Language: English
• Published: Elsevier 2021
• Subjects: Arctic; AIS; Decision trees; Speed; Shipment of goods. Delivery of goods; HF5761-5780; Barents Sea; Kara Sea; Sog; Sabetta; ice covered waters
• Online Access: https://doi.org/10.1016/j.martra.2021.100024; https://doaj.org/article/8e562597326841448c6bfac7116ffcc0

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...