Pregled bibliografske jedinice broj: 1176522
Using Automatic Identification System data in vessel route prediction and seaport operations
Using Automatic Identification System data in vessel route prediction and seaport operations // Pomorski zbornik, 61 (2021), 45-56 (međunarodna recenzija, pregledni rad, znanstveni)
CROSBI ID: 1176522 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Using Automatic Identification System data in vessel route prediction and seaport operations
Autori
Russell Montiel, Enrique Alejandro ; Klunk, Ruven Felix ; Tijan, Edvard ; Jović, Marija
Izvornik
Pomorski zbornik (0554-6397) 61
(2021);
45-56
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, pregledni rad, znanstveni
Ključne riječi
Automatic Identification System data ; vessel route prediction ; seaport operations
Sažetak
In this paper, the authors perform a comprehensive literature review on the use of data obtained from the Automatic Identification System, with an emphasis on vessel route prediction and seaport operations. The usage of Automatic Identification System vessel’s position data in the vessel route prediction and seaport operations has been analyzed, to prove that Automatic Identification System data has a large potential to improve the efficiency of maritime transport. The authors concluded that proper vessel route prediction and route planning can improve voyage safety and reduce unnecessary costs. Furthermore, AIS can provide port authorities with early warnings, allowing them to take preemptive action to avoid possible congestions and unnecessary costs.
Izvorni jezik
Engleski
Znanstvena područja
Tehnologija prometa i transport, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Projekti:
EK-EFRR-10048201 - Digitalising Logistics processes (DigLogs) (Tijan, Edvard, EK ) ( CroRIS)
Ustanove:
Pomorski fakultet, Rijeka
Citiraj ovu publikaciju:
Uključenost u ostale bibliografske baze podataka::
- Transportation Research Information Services - TRIS
