Algorithms for Ship Movement Prediction for Location Data Compression
PBN-AR
Instytucja
Wydział Elektroniki, Telekomunikacji i Informatyki (Politechnika Gdańska)
Informacje podstawowe
Główny język publikacji
ENG
Czasopismo
TransNav - The International Journal on Marine Navigation and Safety of Sea Transportation
ISSN
2083-6473
EISSN
Wydawca
DOI
URL
Rok publikacji
2015
Numer zeszytu
1
Strony od-do
77-83
Numer tomu
9
Identyfikator DOI
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Autorzy
Słowa kluczowe
AIS
MOVEMENT PREDICTION
Streszczenia
Język
Treść
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.
Inne
System-identifier
132473
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