Имитационное моделирование безопасного расхождения групп морских судов
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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

Collision avoidance modeling for a group of marine autonomous vessels

Artemiev A.V.   idGrinyak V.M. Devyatisilnyi A.S.   Petrov V.A.  

UDC 004.8
DOI: 10.26102/2310-6018/2023.42.3.011

  • Abstract
  • List of references
  • About authors

The paper deals with the issue of safe ship movement under the conditions of heavy traffic. The problem of avoiding the collision of groups of vessels is considered. It is noted that avoiding the collision of autonomous (unmanned) ships has its own specific nature. When moving in groups, an autonomous ship needs to “know” the intentions of other participants in order to correctly interpret the regulations for passing ships. This requires an extension of known collision avoidance algorithms for the cases of group locomotion. The paper describes a mathematical model of the ship collision avoidance problem based on traditional geometric representations of the relative motion of ships. The plan of actions for a vessel under the conditions of group locomotion is given. The software tools used to set up computational experiments in collision avoidance of groups of autonomous ships are described. It is noted that the proposed algorithm can be successfully applied to ships with a crew and implemented in automated onboard ship controls. An example of calculating maneuvers for collision avoidance of a group of seven vessels is shown. It is pointed out that setting up full-scale experiments for groups of small-sized models of autonomous surface vessels is necessary in order to test the proposed algorithm and assess the prospects for its use in practice. Recommendations on the possible design of such vessels are given with a view to setting up experiments along with the guidelines for the development of appropriate coastal infrastructure which will provide support for autonomous navigation in the future.

1. Frank M.O., Ovchinnikov K.D., Ryzhov V.A. Review of Russian and foreign experience of marine unmanned surface vehicles development. Morskie intellektual'nye tekhnologii = Marine Intellectual Technologies. 2022;57(3-1):22–28. DOI: 10.37220/MIT.2022.57.3.002. (In Russ.).

2. Korenev A.S., Khabarov S.P., Shpectorov A.G. A route calculation for unmanned vessel. Morskie intellektual'nye tekhnologii = Marine Intellectual Technologies. 2021;54(4-1):158–165. DOI: 10.37220/MIT.2021.54.4.047. (In Russ.).

3. Dyda A.A., Pushkarev I.I., Chumakova K.N. Static obstacles avoidance algorithm for unmanned ship. Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S.O. Makarova. 2021;13(3):307–315. DOI: 10.21821/2309-5180-2021-13-3-307-315. (In Russ.).

4. Ardelyanov N.P. Intermediate results of the e-navigation concept. Vestnik Gosudarstvennogo morskogo universiteta imeni admirala F.F. Ushakova. 2022;39(2):8–11. (In Russ.).

5. Rivkin B.S. e-Navigation: five years later. Gyroscopy and Navigation. 2020;28(1):101–120. DOI: 10.17285/0869-7035.0026.

6. Cite of А-navigation project [website]. URL: https://www.a-nav.org/ru/index.html (accessed on 13.06.2023).

7. Szlapczynski R., Szlapczynska J. Evolutionary sets of safe ship trajectories: evaluation of individuals. TransNav the International Journal on Marine Navigation and Safety of Sea Transportation. 2012;(3):345–353.

8. Zhang K., Huang L., He Y., Zhang L., Huang W., Xie C., Hao G. Collision avoidance method for autonomous ships based on modified velocity obstacle and collision risk index. Journal of Advanced Transportation. 2022;2022:1–22.

9. Kang Y.T., Chen W.J., Zhu D.Q., Wang J.H. Collision avoidance path planning in multi-ship encounter situations. Journal of Marine Science and Technology. 2021;26:1026–1037.

10. Grinyak V.M., Shilenina A.V. Marine traffic safety estimation by emotional load on a navigator metric. Territoriya novykh vozmozhnostei. Vestnik Vladivostokskogo gosudarstvennogo universiteta ekonomiki i servisa = The Territory of New Opportunities. The Herald of Vladivostok State University of Economics and Service. 2019;(3):140–152. (In Russ.).

11. Petrov V.A, Sharlay G.N., Puzachev A.N. Simulator complex for ship driver training. Patent RU 2657708 C1: Date of filing: 17.04.2017: Date of publication: 14.06.2018. (In Russ.).

12. Degre T., Lefevre X. A collision avoidance system. Journal of Navigation. 1981;34:294–302.

13. Petersen E., Inoue K., Tsugane M. Simulator studies on a collision avoidance display that facilitates efficient and precise assessment of evasive manoeuvres in congested waterways. Journal of Navigation. 2003;56:411–427.

14. Grinyak V.M., Devyatisilnyi A.S. Fuzzy collision avoidance system for ships. Izvestiya Rossiiskoi akademii nauk. Teoriya i sistemy upravleniya = Journal of Computer and Systems Sciences International. 2016;55(2):249–259. (In Russ.).

15. Grinyak V.M., Devyatisilnyi A.S., Trofimov M.V. Data visualization of ship collision avoidance system. Morskie intellektual'nye tekhnologii = Marine Intellectual Technologies. 2016;33(3-1):269–273. (In Russ.).

16. Grinyak V.M., Trofimov M.V., Lulko V.I. Data visualization of ship collision avoidance system. Vestnik gosudarstvennogo universiteta morskogo i rechnogo flota im. admirala S.O. Makarova. 2016;(4):51–61. (In Russ.).

17. Szlapczynski R., Szlapczynska J. A target information display for visualising collision avoidance manoeuvres in various visibility conditions. Journal of Navigation. 2015;68(6):1041–1055.

Artemiev Andrey Vladimirovich
Candidate of Technical Sciences Associate Professor
Email: artemyev@msun.ru

Maritime State University named after admiral G.I. Nevelskoy

Vladivostok, the Russian Federation

Grinyak Victor Mikhailovich
Doctor of Technical Sciences Associate Professor
Email: victor.grinyak@gmail.com

WoS | Scopus | ORCID | eLibrary |

Vladivostok State University

Vladivostok, the Russian Federation

Devyatisilnyi Aleksandr Sergeevich
Doctor of Technical Sciences Professor
Email: devyatis@dvo.ru

Institute of Automation and Control Processes FEBRAS

Vladivostok, the Russian Federation

Petrov Vladimir Alekseevich
Candidate of Technical Sciences Associate Professor
Email: petrov@msun.ru

Maritime State University named after admiral G.I. Nevelskoy

Vladivostok, thet Russian Federation

Keywords: ship traffic management, maritime safety, unmanned navigation, е-Navigation, a-Navigation, near collision, evasive action, group of vessels

For citation: Artemiev A.V. Grinyak V.M. Devyatisilnyi A.S. Petrov V.A. Collision avoidance modeling for a group of marine autonomous vessels. Modeling, Optimization and Information Technology. 2023;11(3). Available from: https://moitvivt.ru/ru/journal/pdf?id=1418 DOI: 10.26102/2310-6018/2023.42.3.011 (In Russ).


Full text in PDF

Received 27.06.2023

Revised 21.07.2023

Accepted 08.08.2023

Published 09.08.2023