Open AccessUsing Automatic Identification System Data in Vessel Route Prediction and Seaport Operations
Author(s) -
Enrique Alejandro Russell Montiel,
Ruven Felix Klunk,
Edvard Tijan,
Marija Jović
Publication year - 2021
Publication title -
pomorski zbornik
Language(s) - English
Resource type - Journals
eISSN - 1848-9052
pISSN - 0554-6397
DOI - 10.18048/2021.61.04.
Subject(s) - automatic identification system , identification (biology) , computer science , port (circuit theory) , route planning , operations research , position (finance) , data mining , engineering , transport engineering , botany , finance , electrical engineering , economics , biology
In this paper, the authors perform a comprehensive literature review on the use of data obtained from theAutomatic 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 predictionand seaport operations has been analyzed, to prove that Automatic Identification System data has alarge potential to improve the efficiency of maritime transport. The authors concluded that propervessel 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 preemptiveaction to avoid possible congestions and unnecessary costs.