Intelligent systems for planning the path and controlling the movement of autonomous vessels in extensive shallow water in case of cyber attacks
DOI:
https://doi.org/10.46299/j.isjea.20250401.11Keywords:
autonomous vessels; intelligent systems; automation of motion coordinate planning; extensive shallow water; maneuvering control systems; use of decision support systems during maneuvering; cyber risksAbstract
The rapid development of marine automation has led to the development of intelligent systems, planning their coordinates, traffic control and maneuvering control of autonomous vessels. This article aims to examine the key components, challenges and potential benefits of these systems, focusing on how they can enhance navigational safety, maneuvering efficiency and resilience to likely navigational and cyber risks in maritime operations. The research uses a comprehensive review of scientific literature, case studies and technological developments of intelligent traffic management systems for autonomous vessels. It also includes an analysis of algorithms, sensors and communication technologies that provide autonomous navigation, as well as the integration of these systems into existing methods of classical maritime traffic management. Improved methods of automatic planning of coordinates when performing a voyage cycle, taking into account the influence of the degree of water supply under the keel on the accuracy of planning transition coordinates and considered methods of taking into account accident-prone areas when planning the transition coordinates in the voyage cycle in extensive shallow water of an autonomous vessel. Conclusions: Intelligent systems for the control and management of autonomous vessels are critical to the successful deployment of these technologies in the maritime industry. Despite the significant advantages, additional research and development of methods for planning movement coordinates when performing a voyage cycle in extensive shallow water and managing maneuvering are needed to solve existing problems. Collaboration between sea industry stakeholders, regulators and researchers is essential to realizing the full potential of autonomous vessels, including emerging cyber risks.References
Мальцев А. С. Навігаційна система гарантованого безпечного управління маневруванням суден без екіпажу. // Науковий вісник ХДМА. – Херсон: ХДМА, 2021, №1 (24). – С. 38-56.
Koznowski, W., Kula, K., Lazarowska, A., Lisowski, J., Miller, A., Rak, A., ... & Tomera, M. (2023). Research on synthesis of multi-layer intelligent system for optimal and safe control of marine autonomous object. Electronics, 12(15), 3299.
Zubowicz, T., Armiński, K., Witkowska, A., & Śmierzchalski, R. (2019). Marine autonomous surface ship-control system configuration. IFAC-PapersOnLine, 52(8), 409-415.
Hu, X., Hu, K., Tao, D., Zhong, Y., & Han, Y. (2023). GIS-data-driven efficient and safe path planning for autonomous ships in maritime transportation. Electronics, 12(10), 2206.
Guan, W., Cui, Z., & Zhang, X. (2022). Intelligent smart marine autonomous surface ship decision system based on improved PPO algorithm. Sensors, 22(15), 5732.
Hinostroza, M. A., & Lekkas, A. M. (2022). A rudimentary mission planning system for marine autonomous surface ships. IFAC-PapersOnLine, 55(31), 196-203.
Geng, X., Wang, Y., Wang, P., & Zhang, B. (2019). Motion plan of maritime autonomous surface ships by dynamic programming for collision avoidance and speed optimization. Sensors, 19(2), 434.
Melnyk O., Onishchenko O., Onyshchenko S., Voloshyn A., Kalinichenko Y., Rossomakha O., Naleva G., Rossomakha O.: Autonomous Ships Concept and Mathematical Models Application in their Steering Process Control. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 16, No. 3, doi:10.12716/1001.16.03.18, pp. 553-551, 2022.
Melnyk, O., Volianska, Y., Onishchenko, O., Onyshchenko, S., Kononova, O., & Vasalatii, N. (2022). Development of computer-based remote technologies and course control systems for autonomous surface ships. Int. J. Comput. Sci. Netw. Secur, 22(09), 183-188.
Johansen, T., & Utne, I. B. (2022). Supervisory risk control of autonomous surface ships. Ocean Engineering, 251, 111045. https://doi.org/10.1016/j.oceaneng.2022.111045.
Zhou, X. Y., Liu, Z. J., Wang, F. W., Wu, Z. L., & Cui, R. D. (2020). Towards applicability evaluation of hazard analysis methods for autonomous ships. Ocean Engineering, 214, 107773.
Johansen, T., Blindheim, S., Torben, T. R., Utne, I. B., Johansen, T. A., & Sørensen, A. J. (2023). Development and testing of a risk-based control system for autonomous ships. Reliability engineering & system safety, 234, 109195, https://doi.org/10.1016/j.ress.2023.109195.
Шумілова К. В., Мальцев А. С. Управління індивідуальними навігаційними ризиками рейсового циклу морського судна | The management of individual navigational risks of the ship voyage cycle / Shumilova K.V., Maltsev A. S. // Науково-технічний збірник «Судноводіння» / «Shipping & Navigation». – Одеса: НУ «ОМА», 2022, Випуск 33, С. 128-142. ISSN 2306-5761 | 2618-0073. doi: 10.31653/2306-5761.33.2022.128-142.
Шумілова К., Шумілов Д. Технологічні ризики при маневруванні морського судна в рейсовому циклі. Monograph. – Primedia eLaunch, Boston, USA, 2024. – 203 p.
Shumilova, K., Shumilov, D., & Maltsev, A. (2024). Classification of Cyber Risks for Sea Vessel’s Voyage Cycle. Transactions on Maritime Science, 13(1). https://doi.org/10.7225/toms.v13.n01.w20.
Maltsev, A., & Surinov, I. (2021). Improving the navigational preparation of a bridge crew for entering/leaving a port, including activities in case of emergency. Eastern-European Journal of Enterprise Technologies, 3(3 (111)), 42–57. https://doi.org/10.15587/1729-4061.2021.235092.
Maltsev A.S. Navigation support for the process of managing the maneuvering of a sea vessel. (Maneuvering booklet)/ – Eliva Press, 2023, – 218 p. URL: https://www.elivabooks.com/en/book/book-8240761357.
Мальцев А. С., Шумілов Д. І. Система вибору виду маневрів останнього моменту для попередження зіткнення морських суден при надмірному їх зближенні : пат. МПК G08G3/00 G08G3/02 ; № a202204105 ; заявл. 31.10.2022 ; опубл. 06.12.2023, Бюл. 49/2023. https://sis.nipo.gov.ua/uk/search/detail/1713291/.
Мальцев А. С. Методологічні основи маневрування суден при зближенні. // А. С. Мальцев, В. В. Голіков, І. В. Сафін та ін. – Одеса: ОНМА, 2013. – 218 с.
Мальцев А. С., Сурінов І. Л., Шумілов Д. І., Муравйов Г. М. Комп’ютерна програма «Path Planning IS»: свідоцтво про реєстрацію авторського права на твір № 122773 ; заявл. 10.01.2024 ; опубл. 31.01.2024, Бюл. № 79.
Shumilov, D. (2024). Searching for emergency-dangerous sections of the vessel’s voyage cycle during route planning with an improved content model. International Science Journal of Engineering & Agriculture, 3(6), 130–153. https://doi.org/10.46299/j.isjea.20240306.13
Мальцев А. С., Шумілова К. В., Шумілов Д. І., Муравйов Г. М. Система управління кібербезпекою маневрування морського судна при рейсовому циклі : пат МПК G08G 3/02 (2006.01) ; № a202300014 ; заявл. 03.01.2023 ; опубл. 09.08.2023, Бюл. № 32, стор. 139-140. https://sis.nipo.gov.ua/uk/search/detail/1722440/.
Shumilov, D. (2024). Collision avoidance of the sea vessels during cyber attacks in the voyage cycle. International Science Journal of Engineering & Agriculture, 3(4), 115–129. https://doi.org/10.46299/j.isjea.20240304.12.
Shumilov, D. (2024). Assessment of the accuracy of determining the vessel’s position by observational calculation and maneuvering parameters in case of cyber risks. International Science Journal of Engineering & Agriculture, 3(6), 154–172. https://doi.org/10.46299/j.isjea.20240306.14
Muravyov, G. (2024). Automation of coordinate planning voyage cycle of an autonomous vessel. International Science Journal of Engineering & Agriculture, 3(5), 120–139. https://doi.org/10.46299/j.isjea.20240305.12.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Anatoly Maltsev, Glib Muravyov, Kateryna Shumilova
This work is licensed under a Creative Commons Attribution 4.0 International License.
