Risk Assessment Model of Maritime Traffic in Time-Variant CPA Environments in Waterway
Jung Sik Jeong, Gyei-Kark Park, and Kwang Il Kim
Division of International Maritime Transportation Science, Mokpo National Maritime University, Mokpo City, Republic of Korea
This paper proposes a quantitative model for assessing collision risk for maritime traffic in waterways. The proposed method reflects recent maritime traffic characteristics under in time-variant CPA environments in waterways and models a dynamic causation factor as a risk indicator. To eliminate an uncertainty by human factors causing maritime accidents, the proposed model combines maritime accident statistics and weather records with spatial and temporal distribution determined on the basis of recent and real data for ship movements. Because our method reflects the characteristics of recent ship movements in the water area, it can be complementarily used with the conventional model using Bayesian Belief Network (BBN).
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