| Abstract | Most marine accidents are caused by human error, such as navigators' immaturity or carelessness. In this study, we propose a guide system that presents an optimal route to avoid collision and information of collision risk to navigators for the safe and efficient operation. Firstly, the information of the own ship and other ships are obtained through Auto Identification System (AIS) data. The AIS data is provided in real-time through the National Marine Electronics Association (NMEA) protocol interface. Then, the collision risk of other ships are assessed using a method based on the closest point of approach (CPA) and a ship safety domain. As a result of using a combination of the CPA-based method and the ship safety domain, we represent a normalized collision risk that the navigator can recognize the risk intuitively. Finally, the optimal route to avoid the collision is generated based on the collision risk, by using various route optimization algorithms such as Dijkstra, A *, and isochrone algorithm. In particular, international regulations such as the International Regulations for Preventing Collisions at Sea (COLREGs) and ship's maneuverability were taken into account when generating a route for collision avoidance. The generated route and the collision risk information are visualized through the developed program. In order to verify the effectiveness of this study, we applied the suggested algorithms to various scenarios and compared them with the actual navigation data. As a result, we confirmed that the suggested route could effectively avoid collisions in a complex marine environment. Keywords: Collision avoidance, Collision risk, AIS, COLREGs |
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| Publication Date | 2020-11-23 |
Jisang Ha, Myung-Il Roh, Hye-Won Lee, Jong-Ho Eun, Jong-Jin Park, Hyun-Joe Kim, "A Method of the Collision Avoidance of a Ship Using Real-time AIS Data", Proceedings of ACSMO(Asian Congress of Structural and Multidisciplinary Optimization) 2020, Seoul, Korea, pp.106, 2020.11.23-25