2019
DOI: 10.2112/si83-152.1
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Risk Assessment Model of Vessel Collision Based on Fuzzy Decision

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“…Bayesian networks); Damage severity: Ordered Probit models, etc. (Qiu et al, 2010;Wang et al, 2016;Li et al, 2018;Wei, 2018;Zhang et al, 2019a) The ship collision risk in restricted waters can be derived by summarising the ship collision risk from all individual encounters, for example, Fang et al (2018a) first calculated the collision risk between individual encounter ships based on relative distance, relative speed and relative course, and then adopted the maximum, total and mean ship collision risk values for all the encounter ships to reveal the hierarchical spatiotemporal ship collision risk distribution in the port areas. Therefore, the methodologies in Section 2.3 can promote the accuracies and capabilities of ship collision risk estimation in restricted waters, and in turn, outcomes from research on ship collision risk assessment in restricted regions could also provide traffic characteristics and ship collision risk distributions to facilitate individual collision risk modelling (Chen et al, 2019b).…”
Section: Discussionmentioning
confidence: 99%
“…Bayesian networks); Damage severity: Ordered Probit models, etc. (Qiu et al, 2010;Wang et al, 2016;Li et al, 2018;Wei, 2018;Zhang et al, 2019a) The ship collision risk in restricted waters can be derived by summarising the ship collision risk from all individual encounters, for example, Fang et al (2018a) first calculated the collision risk between individual encounter ships based on relative distance, relative speed and relative course, and then adopted the maximum, total and mean ship collision risk values for all the encounter ships to reveal the hierarchical spatiotemporal ship collision risk distribution in the port areas. Therefore, the methodologies in Section 2.3 can promote the accuracies and capabilities of ship collision risk estimation in restricted waters, and in turn, outcomes from research on ship collision risk assessment in restricted regions could also provide traffic characteristics and ship collision risk distributions to facilitate individual collision risk modelling (Chen et al, 2019b).…”
Section: Discussionmentioning
confidence: 99%