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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-01-01
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| Series: | Maritime Transport Research |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666822X21000162 |