Intelligent Route Planning for Transport Ship Formations: A Hierarchical Global–Local Optimization and Collaborative Control Framework
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| Izdano u: | Journal of Marine Science and Engineering vol. 13, no. 8 (2025), p. 1503-1529 |
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| Glavni autor: | |
| Daljnji autori: | , , , , |
| Izdano: |
MDPI AG
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| Teme: | |
| Online pristup: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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|---|---|---|---|
| 001 | 3244043903 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2077-1312 | ||
| 024 | 7 | |a 10.3390/jmse13081503 |2 doi | |
| 035 | |a 3244043903 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 231479 |2 nlm | ||
| 100 | 1 | |a Guo Zilong |u College of Meteorology and Oceanology, National University of Defense Technology, Changsha 410073, China; gzlong_@nudt.edu.cn (Z.G.); | |
| 245 | 1 | |a Intelligent Route Planning for Transport Ship Formations: A Hierarchical Global–Local Optimization and Collaborative Control Framework | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Multi-vessel formation shipping demonstrates significant potential for enhancing maritime transportation efficiency and economy. However, existing route planning systems inadequately address the unique challenges of formations, where traditional methods fail to integrate global optimality, local dynamic obstacle avoidance, and formation coordination into a cohesive system. Global planning often neglects multi-ship collaborative constraints, while local methods disregard vessel maneuvering characteristics and formation stability. This paper proposes GLFM, a three-layer hierarchical framework (global optimization–local adjustment-formation collaboration module) for intelligent route planning of transport ship formations. GLFM integrates an improved multi-objective A* algorithm for global path optimization under dynamic meteorological and oceanographic (METOC) conditions and International Maritime Organization (IMO) safety regulations, with an enhanced Artificial Potential Field (APF) method incorporating ship safety domains for dynamic local obstacle avoidance. Formation, structural stability, and coordination are achieved through an improved leader–follower approach. Simulation results demonstrate that GLFM-generated trajectories significantly outperform conventional routes, reducing average risk level by 38.46% and voyage duration by 12.15%, while maintaining zero speed and period violation rates. Effective obstacle avoidance is achieved, with the leader vessel navigating optimized global waypoints and followers maintaining formation structure. The GLFM framework successfully balances global optimality with local responsiveness, enhances formation transportation efficiency and safety, and provides a comprehensive solution for intelligent route optimization in multi-constrained marine convoy operations. | |
| 651 | 4 | |a Pacific Ocean | |
| 653 | |a Potential fields | ||
| 653 | |a Safety regulations | ||
| 653 | |a Sea vessels | ||
| 653 | |a Collaboration | ||
| 653 | |a Ship domains | ||
| 653 | |a Shipping | ||
| 653 | |a Optimization | ||
| 653 | |a Winter | ||
| 653 | |a Coordination | ||
| 653 | |a Efficiency | ||
| 653 | |a Risk levels | ||
| 653 | |a Marine transportation | ||
| 653 | |a Formations | ||
| 653 | |a Wind | ||
| 653 | |a Transportation safety | ||
| 653 | |a Planning | ||
| 653 | |a Global optimization | ||
| 653 | |a Route planning | ||
| 653 | |a Methods | ||
| 653 | |a Local optimization | ||
| 653 | |a Algorithms | ||
| 653 | |a Obstacle avoidance | ||
| 653 | |a Ship handling | ||
| 653 | |a Structural stability | ||
| 653 | |a Shipping industry | ||
| 653 | |a Economic | ||
| 700 | 1 | |a Hong, Mei |u College of Meteorology and Oceanology, National University of Defense Technology, Changsha 410073, China; gzlong_@nudt.edu.cn (Z.G.); | |
| 700 | 1 | |a Li, Yunying |u College of Meteorology and Oceanology, National University of Defense Technology, Changsha 410073, China; gzlong_@nudt.edu.cn (Z.G.); | |
| 700 | 1 | |a Qian Longxia |u School of Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China | |
| 700 | 1 | |a Zhang Yongchui |u College of Meteorology and Oceanology, National University of Defense Technology, Changsha 410073, China; gzlong_@nudt.edu.cn (Z.G.); | |
| 700 | 1 | |a Hanlin, Li |u College of Meteorology and Oceanology, National University of Defense Technology, Changsha 410073, China; gzlong_@nudt.edu.cn (Z.G.); | |
| 773 | 0 | |t Journal of Marine Science and Engineering |g vol. 13, no. 8 (2025), p. 1503-1529 | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3244043903/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3244043903/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3244043903/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |