논문 상세보기

A Study on Intention Exchange-based Ship Collision Avoidance by Changing the Safety Domain KCI 등재

  • 언어ENG
  • URLhttps://db.koreascholar.com/Article/Detail/371943
구독 기관 인증 시 무료 이용이 가능합니다. 4,000원
해양환경안전학회지 (Journal of the Korean Society of Marine Environment and Safety)
해양환경안전학회 (The Korean Society Of Marine Environment & Safety)
초록

Even if only two ships are encountered, a collision may occur due to the mistaken judgment of the positional relationship. In other words, if an officer does not know a target ship’s intention, there is always a risk of collision. In this paper, the experiments are conducted to investigate how the intention affects the action of collision avoidance in cooperative and non-cooperative situations. In non-cooperative situation, each ship chooses a course that minimizes costs based on the current situation. That is, it always performs a selfish selection. In a cooperative situation, the information is exchanged with a target ship and a course is selected based on this information. Each ship uses the Distributed Stochastic Search Algorithm so that a next-intended course can be selected by a certain probability and determines the course. In the experimental method, four virtual ships are set up to analyze the action of collision avoidance. Then, using the actual AIS data of eight ships in the strait of Dover, I compared and analyzed the action of collision avoidance in cooperative and non-cooperative situations. As a result of the experiment, the ships showed smooth trajectories in the cooperative situation, but the ship in the non-cooperative situation made frequent big changes to avoid a collision. In the case of the experiment using four ships, there was no collision in the cooperative situation regardless of the size of the safety domain, but a collision occurred between the ships when the size of the safety domain increased in cases of non-cooperation. In the case of experiments using eight ships, it was found that there are optimal parameters for collision avoidance. Also, it was possible to grasp the variation of the sailing distance and the costs according to the combination of the parameters, and it was confirmed that the setting of the parameters can have a great influence on collision avoidance among ships.

목차
Abstract
 1. Introduction
 2. Related works
 3. Distributed Algorithms for Ship CollisionAvoidance
 4. Comparison of Ship Collision Avoidance by DSSAin Cooperative/Non-Cooperative Situations
  4.1 Experiment of four ships in cooperative/non-cooperativesituations
  4.2 Experiment of cooperative/non-cooperative situationsusing AIS data
 5. Conclusion
 References
저자
  • Donggyun Kim(Graduate School of Maritime Sciences, Kobe University)