- Tytuł:
- Prediction of ship's speed through ground using the previous voyage's drift speed
- Autorzy:
-
Yamane, D.
Kano, T. - Powiązania:
- https://bibliotekanauki.pl/articles/24201461.pdf
- Data publikacji:
- 2023
- Wydawca:
- Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
- Tematy:
-
machine learning
weather routing
ship's speed estimation
drift speed
algorithm
route planning
tidal current - Opis:
- In recent years, 'weather routing' has been attracting increasing attention as a means of reducing costs and environmental impact. In order to achieve high-quality weather routing, it is important to accurately predict the ship's speed through ground during a voyage from ship control variables and predicted data on weather and sea conditions. Because sea condition forecasts are difficult to produce in-house, external data is often used, but there is a problem that the accuracy of sea condition forecasts is not sufficient and it is impossible to improve the accuracy of the forecasts because the data is external. In this study, we propose a machine learning method for predicting speed through ground by considering the actual values of the previous voyage’s drift speed for ships that regularly operate on the same route, such as ferries. Experimental results showed that this method improves the prediction performance of ship’s speed through ground.
- Źródło:
-
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2023, 17, 1; 129--137
2083-6473
2083-6481 - Pojawia się w:
- TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
- Dostawca treści:
- Biblioteka Nauki
Artykuł