Regional Studies in Marine Science, Journal Year: 2024, Volume and Issue: 81, P. 103988 - 103988
Published: Dec. 21, 2024
Language: Английский
Ocean & Coastal Management, Journal Year: 2024, Volume and Issue: 256, P. 107311 - 107311
Published: July 30, 2024
Language: Английский
Citations
11
Journal of Marine Science and Engineering, Journal Year: 2025, Volume and Issue: 13(2), P. 237 - 237
Published: Jan. 26, 2025
As the size and number of ships continue to grow, effective management vessel scheduling has become more important for efficient one-way channel port operation, whose characteristics significantly affect safety efficiency ports. This paper presents a reinforcement-learning-based approach optimize vessels in channel, aiming quickly identify solution that enhances operational efficiency. method models problem by incorporating navigational constraints, requirements, vessel-specific characteristics. Using Q-learning algorithm minimize wait times, it identifies an optimal solution. Experiments were conducted using real data from Dayao Bay Pier Dalian Port validate rationality effectiveness proposed model algorithm. The results show reinforcement learning achieved approximately 16% improvement quality compared genetic (GA) while requiring only half computation time. Additionally, reduced delay times over 40% relative traditional FCFS strategy, indicating superior overall performance. research efficient, intelligent scheduling, providing theoretical foundation further advancements this field enhancing decision support channels with practical implications.
Language: Английский
Citations
1
Ocean Engineering, Journal Year: 2025, Volume and Issue: 327, P. 120969 - 120969
Published: March 18, 2025
Language: Английский
Citations
1
Ocean Engineering, Journal Year: 2024, Volume and Issue: 299, P. 117280 - 117280
Published: March 4, 2024
Language: Английский
Citations
5
Journal of Marine Engineering & Technology, Journal Year: 2024, Volume and Issue: 23(5), P. 357 - 372
Published: June 14, 2024
As the receiving terminal of liquefied natural gas (LNG), efficient emergency response floating storage and regasification unit (FSRU) is crucial to ensure safety LNG transportation at sea. However, few existing literature study risk issues FSRUs during operations. In order improve capability FSRU, this proposes an innovative assessment method identify hazards, quantify rank risks associated with disposal operations FSRU accidents. Firstly, a comprehensive index hierarchy system applicable human, equipment, environment, management aspects accident established through extensive review, analysis reports, expert judgments. Secondly, based on concept Intuitionistic Fuzzy Numbers, Hybrid Weighted Euclidean Distance (IFHWED) operator used enhance conventional FMEA approach. This considers varying levels confidence integrates subjective objective weights influential factors (RIFs), efficacy validated sensitivity analysis. Finally, evaluation model employing Analytic Hierarchy Process (AHP) fuzzy algorithms aggregate values RIFs. The findings offer decision-makers insights into operation, provide valuable guiding strategies for management, emergencies
Language: Английский
Citations
4
Ocean Engineering, Journal Year: 2024, Volume and Issue: 313, P. 119512 - 119512
Published: Oct. 15, 2024
Language: Английский
Citations
3
Ocean Engineering, Journal Year: 2024, Volume and Issue: 307, P. 118052 - 118052
Published: May 20, 2024
Language: Английский
Citations
2
Journal of Marine Science and Engineering, Journal Year: 2024, Volume and Issue: 12(7), P. 1224 - 1224
Published: July 20, 2024
Autonomous collision avoidance decision making for maritime autonomous surface ships (MASS), as one of the key technologies MASS navigation, is a research hotspot focused on by relevant scholars in field navigation. In order to guarantee rationality, efficacy, and credibility scheme, it essential design algorithm under stipulations Convention International Regulations Preventing Collisions at Sea (COLREGs). enhance decision-making capability accordance with provisions COLREGs, an improved NSGA-II based good point set method (GPS-NSGA-II) proposed, which incorporates hazard path cost actions. The experimental results four simulation scenarios head-on situation, overtaking crossing multi-ship encounter situation demonstrate that GPS-NSGA-II constraints COLREGs capable providing effective scheme meets requirements common situations promptly, promising future application.
Language: Английский
Citations
2
Journal of Marine Science and Engineering, Journal Year: 2024, Volume and Issue: 12(8), P. 1289 - 1289
Published: July 31, 2024
Complex multi-vessel encounter situations are a challenging problem for ships to avoid collisions, and the International Regulations Preventing Collision at Sea, 1972 (COLREGs) do not provide clear delineation of responsibility collision avoidance (CA). Furthermore, Marine Autonomous Surface Ships (MASS), which realize autonomous navigation functions, face recognizing complex multi-ship corresponding CA decisions. In this study, we adopt velocity obstacle (VO) algorithm visualize identify danger encounters with own ship (OS) as first viewpoint. Additionally, consider motion changes in target (TSs) their possible behaviors basis ship’s decision-making. According COLREGs, simplified method classifying multiple clustered is proposed, considering coupling hazards responsibilities between related TSs. On basis, decisions each classified situation large number simulation experiments conducted based on proposed by three-ship four-ship model Imazu an example. The experimental results indicate that can effectively recognize problem, it adjust measures OS time according COLREGs behavior This provides reference MASS when facing situations.
Language: Английский
Citations
2
Published: Jan. 1, 2024
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Language: Английский
Citations
0