- Tytuł:
- Algorithms for Ship Movement Prediction for Location Data Compression
- Autorzy:
-
Czapiewska, A.
Sadowski, J. - Powiązania:
- https://bibliotekanauki.pl/articles/116761.pdf
- Data publikacji:
- 2015
- Wydawca:
- Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
- Tematy:
-
Methods and Algorithms
Ship Movement, Ship Movement Prediction
Location
Location Data Compression
Autoregressive Model (AR)
Autoregressive Moving Average Model (ARMA)
AIS Data - Opis:
- Due to safety reasons, the movement of ships on the sea, especially near the coast should be tracked, recorded and stored. However, the amount of vessels which trajectories should be tracked by authorized institutions, often in real time, is usually huge. What is more, many sources of vessels position data (radars, AIS) produces thousands of records describing route of each tracked object, but lots of that records are correlated due to limited dynamic of motion of ships which cannot change their speed and direction very quickly. In this situation it must be considered how many points of recorded trajectories really have to be remembered to recall the path of particular object. In this paper, authors propose three different methods for ship movement prediction, which explicitly decrease the amount of stored data. They also propose procedures which enable to reduce the number of transmitted data from observatory points to database, what may significantly reduce required bandwidth of radio communication in case of mobile observatory points, for example onboard radars.
- Źródło:
-
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2015, 9, 1; 75-81
2083-6473
2083-6481 - Pojawia się w:
- TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
- Dostawca treści:
- Biblioteka Nauki
Artykuł