Abstract
Despite the generally high qualifications of seafarers, many maritime accidents are caused by human error; such accidents include capsizing, collision, and fire, and often result in pollution. Enough concern has been generated that researchers around the world have developed the study of the human factor into an independent scientific discipline. A great deal of progress has been made, particularly in the area of artificial intelligence. But since total autonomy is not yet expedient, the decision support systems based on soft computing are proposed to support human navigators and VTS operators in times of crisis as well as during the execution of everyday tasks as a means of reducing risk levels.This paper considers a decision support system based on fuzzy logic integrated into an existing bridge collision avoidance system. The main goal is to determine the appropriate course of avoidance, using fuzzy reasoning.
Highlights
Collision avoidance is one major task of every marine navigator
This paper considers a decision support system based on fuzzy logic integrated into an existing bridge collision avoidance system
In order to reduce the impact of human error, this paper proposes a decision support system based on fuzzy logic integrated into the ARPA radar collision avoidance system
Summary
Collision avoidance is one major task of every marine navigator. Each of them must obey the International Regulations for Preventing Collisions at Sea 1972 (COLREG) [1], which governs the rules for preventing collision at sea. In a situation of heavy traffic this method allows the VTS (Vessel Traffic Service) operator to coordinate the manoeuvres of all vessels He used the evolutionary algorithms and the corresponding procedures for finding the fittest solution; in this case, the optimal trajectories of the vessel. Liu et al [11] introduced the use of the computational information fusion method for the decision model This consists of two types of virtual agents – vessel and VTS agents who monitor and process information of own and target vessels in the immediate surroundings, and on the basis of these data mutually decide which vessel has the right of way, when there is a change of the direction or speed, and the duration of these changes
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