Review article

https://doi.org/10.18048/2021.61.04.

Using Automatic Identification System Data in Vessel Route Prediction and Seaport Operations

Enrique Alejandro Russell Montiel orcid.org/0000-0002-9652-1083 ; Jade University of Applied Sciences, Faculty of Maritime and Logistic Studies, Elsfleth, Germany
Ruven Felix Klunk ; Jade University of Applied Sciences, Faculty of Maritime and Logistic Studies, Elsfleth, Germany
Edvard Tijan orcid.org/0000-0002-7642-0496 ; University of Rijeka, Faculty of Maritime Studies, Rijeka, Croatia
Marija Jović orcid.org/0000-0002-9971-1579 ; Institute of Shipping Economics and Logistics, Bremen, Germany

Abstract

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.

Keywords

Automatic Identification System data; vessel route prediction; seaport operations

Hrčak ID:

272264

URI

https://hrcak.srce.hr/272264

Publication date:

29.12.2021.

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