강화학습을 이용한 실시간 선박 위치 예측 방법 연구 = A Study on the Real Time Ship Position Prediction Method Using Reinforcement Learning

국문 초록 (Abstract)

선박을 통한 물류 이동 산업에서 도착 예정 시간(이하 ETA)은 일반적으로 선박이 평균 속도로 이동 시목적지에 언제 도착할 것인지 대해 단순히 거리와 속력 간의 관계식만으로 연산하여 생성된다. 그러나 ETA에서는 선박이 이동한 해양의 기상 상태, 선박 상태가 반영되지 않아 그 정밀도가 무척 낮았고, 이를 위한 다양한 연구가 시도되고 있으며, 우리는 본 논문을 통해 선박의 이동에 영향을 주는 기상정보, 파고, 국제유가, 해양 사고, 해양 교통량 정보 등의 다양한 변수를 반영해 정밀도 높은 연산 방법을 제안하였다.

다국어 초록 (Multilingual Abstract)

The ETA(estimated arrival time) of a ship is generally a method of calculating when it will arrive at its destination when it moves at an average speed. At this time, the relationship between distance and speed can be calculated and obtained. However, ETA does not reflect the weather condition of the ocean where the ship has moved and the ship condition. So the precision and accuracy are very low. For this reason, various studies are being attempted. Through this paper, we proposed various variables that affect the movement of ships based on reinforcement learning. Various variables such as weather information, wave height, international oil prices, marine accidents, and marine traffic information were reflected, and due to this, it was possible to propose a high-precision and accurate calculation method.

참고문헌 (Reference)

1 Eomjeong-on., "Ship-terminal-hand ship optimization scheduling taking into account changes in real-time arrival time of container ships" Graduate School of Sejong University 2023

2 S. Cho, "Ship ETA/RTA prediction algorithm for predicting the time of Bae Hye-rim Port" 2023 (2023): 231-232, 2023

3 J. Kim., "PRM and reinforcement learning optimized real-time path plan for robot manipulators" Graduate School of Korea University 2006

4 S. Park, "Analyzing reinforcement learning algorithms for the development of ships navigation agents" 2019 (2019): 28-28, 2019

5 Route Creation Techniques, "Academic Presentation Paper, 2022(6)"

6 D. Kim., "A study on the efficiency of ship operation using weather information service:Focusing on automobile transportation ships" Graduate School of Business, Incheon National University 2005

7 J. Lee, "A collection of papers" 2023 (2023): 32-32, 2023