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Real-time position tracking of traffic ships by ARPA radar and AIS in Busan Harbor, Korea

부산항에서 ARPA 레이더와 AIS에 의한 통한선박의 실시간 위치추적

  • Lee, Dae-Jae (Division of Marine Production System Management, Pukyong National University)
  • 이대재 (부경대학교 해양생산시스템관리학부)
  • Published : 2008.08.29

Abstract

This paper describes on the consolidation of AIS and ARPA radar positions by comparing the AIS and ARPA radar information for the tracked ship targets using a PC-based ECDIS in Busan harbor, Korea. The information of AIS and ARPA radar target was acquired independently, and the tracking parameters such as ship's position, COG, SOG, gyro heading, rate of turn, CPA, TCPA, ship s name and MMSI etc. were displayed automatically on the chart of a PC-based ECDIS with radar overlay and ARPA tracking. The ARPA tracking information obtained from the observed radar images of the target ship was compared with the AIS information received from the same vessel to investigate the difference in the position and movement behavior between AIS and ARPA tracked target ships. For the ARPA radar and AIS targets to be consolidated, the differences in range, speed, course, bearing and distance between their targets were estimated to obtain a clear standards for the consolidation of ARPA radar and AIS targets. The average differences between their ranges, their speeds and their courses were 2.06% of the average range, -0.11 knots with the averaged SOG of 11.62 knots, and $0.02^{\circ}$ with the averaged COG of $37.2^{\circ}$, respectively. The average differences between their bearings and between their positions were $-1.29^{\circ}$ and 68.8m, respectively. From these results, we concluded that if the ROT, COG, SOG, and HDG informations are correct, the AIS system can be improved the prediction of a target ship's path and the OOW(Officer of Watch) s ability to anticipate a traffic situation more accurately.

Keywords

Real-time position tracking;PC-based ECDIS;Consolidation of ARPA radar and AIS targets

References

  1. Liu, S., H. Hagiwara, R. Shji, H. Tamara and T. Okano, 2004. Radar network system to observe & analyze Tokyo bay vessel traffic. IEEE A&E system magazine, 3-11 https://doi.org/10.1109/MAES.2004.1365659
  2. IMO, 2004a. Large passenger ship safety. -Effective voyage planning for large passenger ships-.NAV50/11/1, pp. 10
  3. IMO, 2004b. Adoption of the revised performance standards for radar equipment. MSC79/23/Add.2, pp. 4
  4. Takeda, K., 2004. Introduction of AIS system to VTS charts. Navigation, 160, 96-102
  5. Torsten, G. and S. Wolf, 1988. AIS(transponder) data in ECDIS. www.sevencs.com/ecdis/aisdata.htm, pp. 6
  6. UAIS, 2006. Recommendation for integration of AIS in bridge operations. www.uais.org/AISRecommend ationsTOC.htm, pp. 8
  7. Yamada,. T., T. Tanaka, A. Yamamoto and A. Nagasawa, 2005. Utilization of AIS vessel traffic evaluation-I.-A comparative study of the radar and AIS positioning results-. The Journal of Japan Institute of Navigation, 112, 35-41 https://doi.org/10.9749/jin.112.35
  8. Imazu, H., T. Fujisaka, J. Fukumoto and Y. Okake, 2003. Study of the integration and presentation of navigation information. The Journal of Japan institute of Navigation, 109, 133-140 https://doi.org/10.9749/jin.109.133
  9. Volker, K., 2006. Experience with the on-board use of AIS. 3th International workshop on intelligent transportation WIT2006, 1-7

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  3. Marine traffic survey to improve safety of vessel traffic at Busan South Port vol.47, pp.4, 2011, https://doi.org/10.3796/KSFT.2011.47.4.428