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

해상-빅데이터 기반 선박 항적 표시 및 해상교통량 통계 분석 시스템의 개발

Hwang, Hun-Gyu;Kim, Bae-Sung;Shin, Il-Sik;Song, Sang-Kee;Nam, Gyeung-Tae

  • Received : 2016.05.03
  • Accepted : 2016.05.25
  • Published : 2016.06.30


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.


Maritime big data;Ship track;Vessel traffic;Statistic analysis;Automatic identification system (AIS)


  1. H. J. Yoon, "Development of contents on the marine meteorology service by meteorology and climate big data," Journal of the Korea Institute of Electronic Communication Sciences, vol. 11, no. 2, pp. 125-138, Feb, 2016.
  2. S. H. Oh and B. G. Lee, "The accident prediction mechanism using maritime big data", in Proceedings of the 2015 Winter Conference on KIISE, pp. 960-961, 2015.
  3. K. Y. Kim, I. W. Kang, S. J. Pyo, S. R. Lee, Y. S. Lim and J. W. Shim, "Study on comparative analysis of AIS related class A type and class B Type", in Proceedings of the Korea Information and Communications Society Summer Conference, pp.229-230, 2010.
  4. W. K. Kim, "Ship navigation bigdata for ICT convergence model in shipbuilding and maritime industry," Journal of KSME, vol. 54, no. 12, pp. 49-52, Dec, 2014.
  5. ITU, ITU-R M.1371 : Technical characteristics for an automatic identification system using time-division multiple access in the VHF maritime mobile band, ITU, 2010.
  6. M. Jung, "A Study on the development of the marine traffic analysis system based on RADAR and ENC," M. S. Thesis, Korea Maritime and Ocean University, Busan, Korea, 2005.
  7. M. Jung, D. H. Kim and C. U. Song, "A Study on the development of the marine traffic analysis system based on AIS and ENC," Journal of Korean Navigation and Port Research, vol. 31, no. 1, pp. 43-48, Feb, 2007.


Grant : Software Convergence Technology Development Program

Supported by : Ministry of Science, ICT and Future Planning