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2024 Journal Impact Factor - 0.6
2024 CiteScore - 1.9
ISSN 2083-6473
ISSN 2083-6481 (electronic version)
Editor-in-Chief
Associate Editor
Prof. Tomasz Neumann
Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
e-mail transnav@umg.edu.pl
Determination of the Optimal Route in a Defined Environment for a Vessel
1 Gdynia Maritime University, Gdynia, Poland
ABSTRACT: The desire to minimise costs and increase reliability are driving change in the industry. The most optimal solutions exclude the human factor and instead introduce process automation. The first autonomous units are already sailing around the world, but this is a relatively new and very broad topic, so there is still a considerable area for research. The known control systems for ships are already well developed and proven in practice. The author of this paper aims to find an algorithm for determining the trajectory of a ship's course, so that an autonomous point-to-point voyage would be possible in conjunction with control systems. For this purpose, they chose four path planning methods: Hibrid A*, Rapidly-exploring Random Tree, Bidirectional RRT and Motion Planning Networks. The selected methods were pre-tested in a familiar environment. Simulation results for different settings were compared with each other to find the optimal path.
KEYWORDS:
REFERENCES
Ziajka-Poznańska, E., & Montewka, J.Costs and benefits of autonomous shipping—a literature review. Applied Sciences,2021, 11(10), 4553.
Chaal, M., Ren, X., BahooToroody, A., Basnet, S., Bolbot, V., Banda, O. A. V., & Van Gelder, P. Research on risk, safety, and reliability of autonomous ships: A bibliometric review. Safety science,2023, 167, 106256.
Witkowska, A., Śmierzchalski, R. Adaptive dynamic control allocation for dynamic positioning of marine vessel based on backstepping method and sequential quadratic programming. Ocean Engineering, 2018, 163, 570-582.
Koznowski, W.; Kula, K.; Lazarowska, A.; Lisowski, J.; Miller, A.; Rak, A.; Rybczak, M.; Mohamed-Seghir, M.; Tomera, M. Research on Synthesis of Multi-Layer Intelligent System for Optimal and Safe Control of Marine Autonomous Object. Electronics 2023, 12, 3299
Miller, A. Model predictive ship trajectory tracking system based on line of sight method. Bulletin of the polish academy of sciences, 2023,71(5)
Miller, A.; Rak, A. Measurement System for the Environmental Load Assessment of the Scale Ship Model. Sensors 2023, 23, 306
Gierusz, W.; Miller, A. . Prediction control systems in marine applications. TransNav: International Journal on Marine Navigation and Safety of Sea Transportation, 2020, 14(2)
Brzózka,J.,Dorobczyński L., Wydawnictwo Naukowe PWN. MATLAB : środowisko obliczeń naukowo-technicznych. Wyd. 1, dodr. 1. Warszawa: Wydawnictwo Naukowe PWN, 2008
Raibail, M., & Rahman, A. H. A.. Path Planning of Multi-robots in Confined Spaces. In International Conference on Robot Intelligence Technology and Applications, 2023, (pp. 200-208). Cham: Springer Nature Switzerland.
Aliyu, D. A new potential field-based algorithm for path planning. Journal of Intelligent & Robotic Systems, 1996.
Rodriguez, S., Tang, X., Lien, J. M., & Amato, N. M. An obstacle-based rapidly-exploring random tree. In Proceedings 2006 IEEE international conference on robotics and automation, 2006. ICRA 2006. (pp. 895-900). IEEE.
Jordan, M., & Perez, A. Optimal bidirectional rapidly-exploring random trees,2013
Qureshi, Hussain, A. ,Miao, Y., Simeonov, A., C. Yip. M.“Motion Planning Networks: Bridging the Gap Between Learning-Based and Classical Motion Planners.” IEEE Transactions on Robotics 37, no. 1, 2021, 48–66.
Qureshi, A. H., Simeonov, A., Bency, M. J., & Yip, M. C. Motion planning networks. In 2019 International Conference on Robotics and Automation (ICRA),2019, (pp. 2118-2124). IEEE.
Dmitri, D., Thrun, S., Montemerlo, M., Diebel, J. Practical Search Techniques in Path Planning for Autonomous Driving. American Association for Artificial Intelligence, 2008.
Petereit, Janko, Emter, T., Frey, W.C., Thomas Kopfstedt, and Andreas Beutel. Application of Hybrid A* to an Autonomous Mobile Robot for Path Planning in Unstructured Outdoor Environments, ROBOTIK 2012, 2012, pp. 1-6.
Miller, A., & Walczak, S. Maritime autonomous surface ship’s path approximation using Bézier curves. Symmetry,2020, 12(10), 1704.
Miller, A., Rybczak, M., & Rak, A. Towards the autonomy: Control systems for the ship in confined and open waters. Sensors,2021 21(7), 2286.
Citation note:
Popowniak N.: Determination of the Optimal Route in a Defined Environment for a Vessel. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 19, No. 4, doi:10.12716/1001.19.04.03, pp. 1075-1080, 2025
Authors in other databases:
Natalia Popowniak:
orcid.org/0000-0002-9475-7367
58032238700
orcid.org/0000-0002-9475-7367
58032238700
Other publications of authors:
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