ISSN 2083-6473
ISSN 2083-6481 (electronic version)




Associate Editor
Tomasz Neumann

Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
www http://www.transnav.eu
e-mail transnav@am.gdynia.pl
Verification of Ship's Trajectory Planning Algorithms Using Real Navigational Data
1 Gdynia Maritime University, Gdynia, Poland
ABSTRACT: The paper presents results of ship's safe trajectory planning algorithms verification. Real navigational data registered from a radar with an Automatic Radar Plotting Aid on board the research and training ship Horyzont II were used as input data to the algorithms. The algorithms verified in the presented research include the Ant Colony Optimization algorithm (ACO), the Trajectory Base Algorithm (TBA), the Visibility Graph-search Algorithm (VGA) ant the Discrete Artificial Potential Field algorithm (DAPF). Details concerning data registration and exemplary results obtained with the use or real navigational data are introduced and summarized in the paper. Presented results prove the applicability of proposed algorithms for solving the ship's safe trajectory planning problem.
Allianz Global Corporate & Specialty SE. 2018. Safety and shipping review. https://www.agcs.allianz.com/insights/ white-papers-and- case-studies/safety-and-shipping-review-2018/ Accessed 22 January 2019.
Candeloro, M., Lekkas A.M., Sorensen A.J. 2017. A voronoidiagram-based dynamic path-planning system for underactuated marine vessels. Control Engineering Practice 61: 41-54. - doi:10.1016/j.conengprac.2017.01.007
China Classification Society, Zhuhai Municipal Government, Wuhan University of Technology & Zhuhai Yunzhou Smart Co. 2018. Wanshan marine test field. https://www.marineinsight.com/shipping-%20news/construction-worlds-largest-unmanned-marinetesting-site-starts/ Accessed 22 January 2019.
Fişkin, R., Kişi, H. & Nasibov, E. 2018. A Research on Techniques, Models and Methods Proposed for Ship Collision Avoidance Path Planning Problem. International Journal Maritime Engineering 160 (A2): 187-206. - doi:10.3940/rina.ijme.2018.a2.476
Kongsberg Maritime AS. 2018. Autonomous ship project. https://www.km.kongsberg.com Accessed 22 January 2019.
Lee, T., Kim, H., Chung, H., Bang, Y. & Myung, H. 2015. Energy efficient path planning for a marine surface vehicle considering heading angle. Ocean Engineering 107: 118131. - doi:10.1016/j.oceaneng.2015.07.030
Lisowski, J. & Mohamed-Seghir, M. 2019. Comparison of Computational Intelligence Methods Based on Fuzzy Sets and Game Theory in the Synthesis of Safe Ship Control Based on Information from a Radar ARPA System. Remote Sensing 11 (1), 82. - doi:10.3390/rs11010082
Liu, Y., Bucknall, R. & Zhang, X. 2017. The fast marching method based intelligent navigation of an unmanned surface vehicle. Ocean Engineering 142: 363–376. - doi:10.1016/j.oceaneng.2017.07.021
Rybczak, M. 2018. Improvement of control precision for ship movement using a multidimensional controller. Automatika 59(1): 63–70. - doi:10.1080/00051144.2018.1499427
Szlapczynski, R. & Szlapczynska, J. 2017. A method of determining and visualizing safe motion parameters of a ship navigating in restricted waters. Ocean Engineering 129: 363–373. - doi:10.1016/j.oceaneng.2016.11.044
Tomera, M. 2017. Hybrid switching controller design for the maneuvering and transit of a training ship. International Journal of Applied Mathematics and Computer Science 27(1): 63–77. - doi:10.1515/amcs-2017-0005
Witkowska, A. & Smierzchalski, R. 2018. Adaptive dynamic control allocation for dynamic positioning of marine vessel based on backstepping method and sequential quadratic programming. Ocean Engineering 163: 570–582. - doi:10.1016/j.oceaneng.2018.05.061
Citation note:
Lazarowska A.: Verification of Ship's Trajectory Planning Algorithms Using Real Navigational Data. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 13, No. 3, doi:10.12716/1001.13.03.10, pp. 559-564, 2019
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