Abstract
Ship collision avoidance measures are important for reducing marine accidents caused by human factors and various natural environmental factors and can also prevent property loss and casualties. In recent years, various methods have been used to study collision avoidance, including ship domain models. This paper proposes a ship domain model based on fuzzy logic aimed at providing early warning of ship collision risk and a reasonable reference that can be used in combination with the International Regulation for Preventing Collisions at Sea (COLREGs). The composition fuzzy inference combining more than one fuzzy inference process is first used to introduce as many factors as possible related to ship collision risk for calculating the ship domain. In this way, the calculation of the ship domain size is more accurate, and a more accurate reference can be provided to sailors, which could save both time and labor by reducing errors. A fuzzy inference system based on if-then fuzzy rules was established in MATLAB and simulation experiments were conducted. The simulation results suggest that the proposed method is feasible and can help sailors make subjective decisions to effectively avoid the occurrence of collision accidents.
Highlights
In recent years, with advances in science and technology, maritime traffic has increased and brought many conveniences to human life
Composition fuzzy inference is carried out by comprehensively considering the ship’s own factors and environmental factors when the ship is sailing at sea, giving the ship early collision warning and reminding the sailor to take measures to avoid collision
The proposed composition fuzzy inference method combines the results of multiple fuzzy inferences and performs fuzzy inference, retaining as many relevant factors as possible, which solves the problem of oversize errors caused by too many factors that need to be deleted in the past, thereby providing a more accurate estimate of the ship domain size, which can be used for more accurate and timely warning of collision danger to reduce the occurrence of collisions
Summary
With advances in science and technology, maritime traffic has increased and brought many conveniences to human life. Composition fuzzy inference is carried out by comprehensively considering the ship’s own factors and environmental factors when the ship is sailing at sea, giving the ship early collision warning and reminding the sailor to take measures to avoid collision. The proposed composition fuzzy inference method combines the results of multiple fuzzy inferences and performs fuzzy inference, retaining as many relevant factors as possible, which solves the problem of oversize errors caused by too many factors that need to be deleted in the past, thereby providing a more accurate estimate of the ship domain size, which can be used for more accurate and timely warning of collision danger to reduce the occurrence of collisions.
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