Browse > Article
http://dx.doi.org/10.5394/KINPR.2015.39.6.493

A Study on the Degree of Collision Risk with Relative Bearing at CPA  

Lee, Jin-Suk (Graduate school of Korea Maritime and Ocean University)
Jung, Min (Korea Institude of Maritime and Fisheries Technology)
Song, Chae-Uk (Division of Navigation, Korea Maritime and Ocean University)
Abstract
When VTSOs(Vessel Traffic Service Operators) determine the degree of collision risk of two vessels, they consider comprehensively information about each vessel's course, speed, DCPA, TCPA and encountering situation. In this study, we proposed an algorithm in which two relative bearings as information about two vessel's encountering situation are used to evaluate the degree of collision risk. In order to verify whether the proposed algorithm is reasonable, we set twenty encountering situations and conducted a survey of collision risk on fifty three VTSOs about those situations. By comparing the degrees of collision risk with the proposed algorithm to the results of the survey, we found that relative bearing at CPA is very important factor for VTSO to recognize the level of collision risk when two vessels are in encountering situation.
Keywords
Collision Risk; Encountering situation; CPA; Relative Bearing; VTSO;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 Busan Maritime Safety Tribunal(2015), A Written Judgment for Collision Accident between 107 DAEYANG and HYUNDAI BRIDGE.
2 Hansen Friis(2008), "Basic Modelling Principles for Prediction of Collision and Grounding Frequencies, Technical University of Denmark, p. 58.
3 IALA(2009), IALA Recommendation O-134 on the IALA Risk Management Tool for Ports and Restricted Waterways, Edition 2.
4 Inoue, K., Park, Y. S. et al.(2002), "Safety Management of Vessel Traffic in Ports and Waterways", PIANC, 30th INTERNATIONAL NAVIGATION CONGRESS, S4D P65, pp. 1-12.
5 Jeong, T. G.(2003), "A New Approach to the Evaluation of Collision Risk using Sech Function", Journal of Korean Navigation and Port Research, Vol. 27, No. 2, pp. 103-110.   DOI
6 Jutta Ylitalo(2010), "Modelling Marine Accident Frequency" Aalto University, School of Science and Technology, Master's thesis, pp. 21-24
7 Kim, E. K., Kang, I. K. and Kim, Y. G.(2001), "Collision Risk Decision System for Collision Avoidance", Journal of Korean Institute of Intelligent Systems, Vol. 24, No. 6, pp. 524-527
8 Kim, K. I., Jung, J. S., Park, G. K.(2012), "A Study on Development of Maritime Traffic Assessment Model" Journal of Korean Institute of Intelligent Systems, Vol.22, No.6, pp. 761-767   DOI
9 Korean Maritime Safety Tribunal(2015), Statistics of Marine Accident for the Past 5 Years, Ministry of Oceans and Fisheries, South Korea
10 Park, J. S., Park, Y. S., Lee, H. G.(2013), Maritime Traffic Engineering, pp. 163-167
11 Park, Y. S., Park, J. S., Inoue. K.(2012), "A Study on Monitoring System for Ship Collision Danger", Proceeding of KIIS Spring Conference, Vol. 22, No.1, pp. 149-150.
12 Song, B. H., Lee, K. H., et al.(2011), "Bayesian Collision Risk Estimation Algorithm for Efficient Collision Avoidance against Multiple Traffic Vessels" The Journal of the Korean Institute of Communication Sciences, Vol. 36, No. 3, pp. 248-253.   DOI
13 USCG(2005), Ports and Waterways Safety Assessment Workshop Guide, Chapter 2.