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AIS data usage for vessel movement analysis


Šakan, Davor; Rudan, Igor; Žuškin, Srđan; Brčić, David
AIS data usage for vessel movement analysis // Book of Abstracts – My First Conference 2018 / Jardas, Mladen ; Glujić, Darko ; Vukelić, Goran ; Čanađija, Marko ; Travaš, Vanja (ur.).
Rijeka: University of Rijeka, Faculty of Maritime Studies ; University of Rijeka, Faculty of Civil Engineering ; University of Rijeka, Faculty of Engineering, 2018. str. 29-29 (predavanje, domaća recenzija, sažetak, znanstveni)


Naslov
AIS data usage for vessel movement analysis

Autori
Šakan, Davor ; Rudan, Igor ; Žuškin, Srđan ; Brčić, David

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Book of Abstracts – My First Conference 2018 / Jardas, Mladen ; Glujić, Darko ; Vukelić, Goran ; Čanađija, Marko ; Travaš, Vanja - Rijeka : University of Rijeka, Faculty of Maritime Studies ; University of Rijeka, Faculty of Civil Engineering ; University of Rijeka, Faculty of Engineering, 2018, 29-29

ISBN
978-953-165-128-8

Skup
My First Conference (MFC) - 2nd Annual Conference for Doctoral Students of Engineering and Technology

Mjesto i datum
Rijeka, Hrvatska, 27.09.2018

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Domaća recenzija

Ključne riječi
Automatic Identification System, AIS, vessel movement, route extraction

Sažetak
Automatic Identification System (AIS) is an automatic data exchange system, mandatory under requirements of International Convention for the Safety of Life at Sea (SOLAS). Since implementation in early 2000s it has significantly improved safe and efficient navigation of ships, environmental protection, traffic and coastal monitoring. It is also used by non-mandatory vessels, coastal stations or as an element of other systems or devices. AIS data, which includes vessel’s static, dynamic and voyage information, has been used in various areas of economic, environmental and transportation research such as vessel exhaust emission estimations, maritime traffic density and trade pattern analysis, vessel route extraction and movement anomalies detection. The ever-increasing availability of data has improved possibilities for extensive research, analysis and prediction, but not without challenges regarding management and interpretation of such big data volumes. Methods of data collection, processing and analysis are presented for vessel movement and route extraction.

Izvorni jezik
Hrvatski

Znanstvena područja
Tehnologija prometa i transport



POVEZANOST RADA


Ustanove
Pomorski fakultet, Rijeka