2019Journal of Fisheries and Marine Sciences EducationRequires access

Development of Autonomous Navigation Support System using Maritime Traffic Risk Assessment Model

Won-Ouk Kim, Jung-Hyeok HONG, Daehee Kim, Jun-Young Bae

Open publisher page 2 citations

Abstract

Most of the marine casualties caused by ship are collision, and most of them are analyzed human error due to recognition of inappropriate situation of the operator. In this study, we consider not only the prevention of collision of existing ship due to human errors, but also the development of system for Maritime Autonomous Surface Ships(MASS) to be introduced in the future. In order for MASS to operate safely at sea, it is necessary to keep international regulations for preventing collisions at sea. A Maritime traffic risk assessment model was applied to study autonomous navigation support system of ship. It was developed by combining the psychological burden of duty officer’s collision judgment and the dynamic ship domain, taking into account the speed and length of the ship. Simulation results that take into account the special situation of international regulations for preventing collisions at sea are very similar to the actual results. This system can be applied not only for autonomous navigation but also as a collision avoidance support system for existing vessels.

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What this paper is about

Most of the marine casualties caused by ship are collision, and most of them are analyzed human error due to recognition of inappropriate situation of the operator. In this study, we consider not only the prevention of collision of existing ship due to human errors, but also the development of system for Maritime Autonomous Surface Ships(MASS) to be introduced in the future. In order for MASS to operate safely at sea, it is necessary to keep international regulations for preventing collisions at sea. A Maritime traffic risk assessment model was applied to study autonomous navigation support system of ship. It was developed by combining the psychological burden of duty officer’s collision judgment and the dynamic ship domain, taking into account the speed and length of the ship. Simulation results that take into account the special situation of international regulations for preventing collisions at sea are very similar to the actual results. This system can be applied not only for autonomous navigation but also as a collision avoidance support system for existing vessels.

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Available abstract

Most of the marine casualties caused by ship are collision, and most of them are analyzed human error due to recognition of inappropriate situation of the operator. In this study, we consider not only the prevention of collision of existing ship due to human errors, but also the development of system for Maritime Autonomous Surface Ships(MASS) to be introduced in the future. In order for MASS to operate safely at sea, it is necessary to keep international regulations for preventing collisions at sea. A Maritime traffic risk assessment model was applied to study autonomous navigation support system of ship. It was developed by combining the psychological burden of duty officer’s collision judgment and the dynamic ship domain, taking into account the speed and length of the ship. Simulation results that take into account the special situation of international regulations for preventing collisions at sea are very similar to the actual results. This system can be applied not only for autonomous navigation but also as a collision avoidance support system for existing vessels.

Key concepts: Collision avoidance, Collision, Automatic Identification System, Computer science, Navigation system, Marine engineering, Marine safety, Human error

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