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Applications of Ship Domain Theory to Identify Risky Sector in VTS Area

  • 투고 : 2014.04.11
  • 심사 : 2014.06.25
  • 발행 : 2014.06.30

초록

This paper describes the application method of bumper area defined in the ship domain theory and it is to identify risky sectors in VTS(Vessel Traffic Services) area. The final goal of this work is to develop early warning system providing the location information with high traffic risks in Mokpo VTS area and to prevent the human errors of VTS Officer(VTSO). The current goal of this paper is to find evaluation and detection method of risky sectors. The ratio between overlapped bumper area of each vessels and the summing area of a designated sector, Ratio to Evaluate Risk(RER) ${\gamma}$ is used as one of evaluation and detection parameter. The usability of overlapped bumper area is testified through three kinds of scenarios for various traffic situations. The marine traffic data used in the experiments is collected by AIS(Automatic Identification System) receiver and then compiled in the SQL(Structured Query Language) Server. Through the analysis of passing vessel's tracks within the boundary of Mokpo VTS area, the total of 11 sectors are identified as evaluation unit sector. As experiment results from risk evaluation for the 11 sectors, it is clearly known that the proposed method with RER ${\gamma}$ can provide the location information of high risky sectors which are need to keep traffic tracks of vessel movements and to maintain traffic monitoring by VTSO.

키워드

참고문헌

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피인용 문헌

  1. A Study on Maritime Traffic Characteristics according to Water Time(Multte) vol.21, pp.5, 2015, https://doi.org/10.7837/kosomes.2015.21.5.501
  2. Determining the Number of Risk Level Using Real-time Sensitivities in the Probabilistic Maritime Risk Evaluation vol.20, pp.6, 2014, https://doi.org/10.7837/kosomes.2014.20.6.685
  3. A Study for Technique of Detecting the Real-time Route Aberrance in the Passage Route Using Ship's Domain Theory vol.23, pp.3, 2017, https://doi.org/10.7837/kosomes.2017.23.3.273
  4. Development of Navigator Behavior Models for the Evaluation of Collision Avoidance Behavior in the Collision-Prone Navigation Environment vol.9, pp.15, 2019, https://doi.org/10.3390/app9153114