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http://dx.doi.org/10.9709/JKSS.2016.25.4.127

Design of the Model for Predicting Ship Collision Risk using Fuzzy and DEVS  

Yi, Mira (Dept. of Comupter Engineering, Mokpo National Maritime University)
Publication Information
Journal of the Korea Society for Simulation / v.25, no.4, 2016 , pp. 127-135 More about this Journal
Abstract
Even thought modernized marine navigation devices help navigators, marine accidents has been often occurred and ship collision is one of the main types of the accidents. Various studies on the assessment method of collision risk have been reported, and studies using fuzzy theory are remarkable for the reason that reflect linguistic and ambiguous criteria for real situations. In these studies, collision risks were assessed on the assumption that the current state of navigation ship would be maintained. However, navigators ignore or turn off frequent alarms caused by the devices predicting collision risk, because they think that they can avoid the collisions in the most of situations. This paper proposes a model of predicting ship collision risk considering the general patterns of collision avoidance, and the approach is based on fuzzy inference and discrete event system specification (DEVS) formalism.
Keywords
Ship Collision Risk; Prediction; Navigation Simulation; Fuzzy; DEVS;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
연도 인용수 순위
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