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http://dx.doi.org/10.6109/jkiice.2016.20.6.1195

A Development of Analysis System for Vessel Traffic Display and Statistics based on Maritime-BigData  

Hwang, Hun-Gyu (Division of Ocean ICT & Advanced Materials Technology Research, Research Institute of Medium & Small Shipbuilding)
Kim, Bae-Sung (Division of Ocean ICT & Advanced Materials Technology Research, Research Institute of Medium & Small Shipbuilding)
Shin, Il-Sik (Division of Ocean ICT & Advanced Materials Technology Research, Research Institute of Medium & Small Shipbuilding)
Song, Sang-Kee (R&D Center, GCSC Co., Ltd.)
Nam, Gyeung-Tae (R&D Center, GCSC Co., Ltd.)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.20, no.6, 2016 , pp. 1195-1202 More about this Journal
Abstract
Recently, a lot of studies that applying the big data technology to various fields, are progressing actively. In the maritime domain, the big data is the meaningful information which makes and gathers by the navigation and communication equipment from the many ships on the ocean. Also, importance of the maritime safety is emphasized, because maritime accidents are rising with increasing of maritime traffic. To support prevention of maritime accidents, in this paper, we developed a vessel traffic display and statistic system based on AIS messages from the many vessels of maritime. Also, to verify the developed system, we conducted tests for vessel track display function and vessel traffic statistic function based on two test scenarios. Therefore, we verified the effectiveness of the developed system for vessel tracks display, abnormal navigation patterns, checking failure of AIS equipments and maritime traffic statistic analyses.
Keywords
Maritime big data; Ship track; Vessel traffic; Statistic analysis; Automatic identification system (AIS);
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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