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Abstract The thawing of sea ice in the North Pole accelerates the opening of new shipping routes through the Arctic Ocean. To identify an economical and safe shipping route in the Arctic Ocean, a risk assessment of the ice regime and an optimization of the route that minimizes the total power consumption should be performed. In this study, a ship route planning system comprising a performance evaluation model and an optimization model is proposed. In the performance evaluation model, the power required for the voyage is estimated. Speed correction is performed using the transit model of the Korea Research Institute of Ships and Ocean Engineering (KRISO) Arctic Safe Routing System (KARS) developed by the KRISO. The risk index outcome, which indicates the severity of the sea ice to the ship, is calculated based on the polar operational limit assessment risk indexing system (POLARIS). Subsequently, the ship route planning problem is formulated as an optimization problem in the optimization model. The heading angle and engine revolutions per minute are both considered to optimize the speed and path simultaneously. The objective function is set as the total power consumption, and the constraints for the arrival time, avoidance of land, criteria for the ice regime, and restriction of the design variables are considered. Then, the optimal route is searched based on the seed genetic algorithm. The seed is generated using the A-star algorithm to obtain a reasonable initial solution and reduce computational time. The suggested system is applied to the Araon, an icebreaker operating in the Arctic Ocean, with various voyage plans. The results show that the proposed system can be applied effectively to ships operating in the Arctic Ocean.
Publication Date 2021-08-15
Role Corresponding Author
Category SCI

Hye-Won Lee, Myung-Il Roh, Ki-Su Kim, “Ship Route Planning in Arctic Ocean Based on POLARIS”, Ocean Engineering, Vol. 234, pp. 109297.1-14, 2021.08.15

https://doi.org/10.1016/j.oceaneng.2021.109297


List of Articles
번호 분류 제목 Publication Date
» International Journal Hye-Won Lee, Myung-Il Roh, Ki-Su Kim, “Ship Route Planning in Arctic Ocean Based on POLARIS”, Ocean Engineering, Vol. 234, pp. 109297.1-14, 2021.08.15 file 2021-08-15
7 International Journal June-Beom Lee, Myung-Il Roh, Ki-Su Kim, “Prediction of Ship Power Based on Variation in Deep Feed-forward Neural Network”, International Journal of Naval Architecture and Ocean Engineering, 2021.08.07 file 2021-08-12
6 International Journal Won-Jae Lee, Myung-Il Roh, Hye-Won Lee, Jisang Ha, Yeong-Min Cho, Nam-Sun Son, “Detection and Tracking for the Awareness of Surroundings of a Ship Based on Deep Learning”, Journal of Computational Design and Engineering, Vo. 8, No. 5 file 2021-10-01
5 International Journal Ki-Su Kim, Myung-Il Roh, Seung-Min Lee, "Quasi-static Flooding Analysis Method of a Damaged Ship Considering Oil Spill and Cargo Load", Journal of Ship Production and Design, 2022.02.10 file 2022-02-10
4 International Journal Min-Chul Kong, Myung-Il Roh, Ki-Su Kim, Jeongyoul Lee, Jongoh Kim, Gapheon Lee, "Object Detection Method for Ship Safety Plans Using Deep Learning", Ocean Engineering, 2022.02.15 file 2022-02-15
3 International Journal Do-Hyun Chun, Myung-Il Roh, Hye-Won Lee, "Automation of Crane Control for Block Lifting Based on Deep Reinforcement Learning", Journal of Computational Design and Engineering, Vol. 9, No. 4, pp. 1430- 1448, 2022.07.23 file 2022-07-23
2 International Journal Jin-Hyeok Kim, Myung-Il Roh et al. "Prediction of the Superiority of the Hydrodynamic Performance of Hull Forms Using Deep Learning", accepted for publication in International Journal of Naval Architecture and Ocean Engineering, 2022.10.21 2022-10-21
1 International Journal Min-Chul Kong, Myung-Il Roh, Ki-Su Kim, Ho-Gyun Park, Jong-Oh Kim, "Variable Indexing Method in Rule Documents for Ship Design Using Extraction of PDF Elements", accepted for publication in Journal of Computational Design and Engineering, 2022.11.11 2022-11-11
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