ИСПОЛЬЗОВАНИЕ ДАННЫХ АИС ДЛЯ ОЦЕНКИ ОПАСНОСТИ КОЛЛЕКТИВНОГО ДВИЖЕНИЯ НА МОРСКОЙ АКВАТОРИИ
Работая с нашим сайтом, вы даете свое согласие на использование файлов cookie. Это необходимо для нормального функционирования сайта, показа целевой рекламы и анализа трафика. Статистика использования сайта отправляется в «Яндекс» и «Google»
Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

USE AIS DATA FOR ESTIMATION OF MARINE TRAFFIC SAFETY

Grinyak V.M.   Ivanenko Y.S.  

UDC 519.68:15:681.5
DOI:

  • Abstract
  • List of references
  • About authors

The paper is devoted to the problem of navigational safety of sea vessels traffic. The problem of determining the degree of danger of a traffic pattern implemented in a specific water area is considered. At the same time, it is proposed to refer to navigational data provided by the Automatic Identification System (AIS) and available on open Internet resources. As a metric characterizing traffic safety, the frequency of ship collision is used. It is determined on the basis of an estimate of the number and localization of closest points of approach. The problem with the use of AIS data provided by open Internet resources is a significant limitation in the accuracy of determining navigation parameters of vessels and the frequency of information receipt. The paper considers the format for presenting the initial data on motion and the available limitations. It is shown that, despite the limitations, it is possible to estimate a stable hazardous area of the waters. The work is accompanied by the results of case studies: the results of the estimation of marine traffic safety in the Tsugaru Strait, the waters of the port of Busan and the waters of the Inland Japan Sea are presented.

1. International Regulations for Preventing Collisions at Sea 1972 (COLREGs-72). M:, 2004.

2. S.G. Pogosov. Bezopasnost plavaniya v portovyh vodah. M: Transport, 1977.

3. A.A. Lentarev. Morskie raiony system obespecheniya bezopasnosti moreplavaniya. Vladivostok: GMU im. Nevelskogo, 2004.

4. A.A. Lentarev, and M.O. Maximov. “Use navigation tools for ship flows characteristics estimation.” Transportnoye delo Rossii 6 (2015): 156-158.

5. M.P. Lebedeva, S.D. Aizinov, and A.O. Lebedev. “Technique of assessment of the safe navigation in the “constrained” water area.” Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S. O. Makarova 9.1 (2017): 111–120. DOI: 10.21821/2309- 5180-2017-9-1-111-120.

6. S.V. Ippolitov, О.N. Choporov, D.V. Lopatkin, and A.V. Sizov. “Model for control dynamic objects.” Modelirovaniye, optimizatsiya i informatsionniye tehnologii 2 (2017).

7. Kaljaev, I. A., A. R. Gajduk, and S. G. Kapustjan. Modeli i algoritmy kollektivnogo upravlenija v gruppah robotov. M: Fizmatlit, 2009.

8. Zeng Z. A survey on path planning for persistent autonomy of autonomous underwater vehicles / Z. Zeng, L. Lian, K. Sammut, F. He, Y. Tang, A. Lammas // Ocean Engineering. – 2015. – Vol. 110. – Part A. – Pp. 303–313. DOI: 10.1016/j.oceaneng.2015.10.007

9. M.N. Kirsanov. “Analysis of algorithms for the selection of optimal routes the group’s vessels” Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S. O. Makarova 8.2 (2016): 183-190. DOI: 10.21821/2309-5180-2016-8-2-183-190.

10. Lazarowska A. “Ship’s trajectory planning for collision avoidance at sea based on ant colony otimisation” Journal of Navigation 68.02 (2015): 291–307. DOI: 10.1017/S0373463314000708.

11. D.E. Studenikin, A.A. Grigoryan, and N.A. Makovetskaya. “The use of decision support systems for choosing parameters of vessel’s maneuvering”. Ekspluataciya morskogo transporta 4 (2015): 58-62.

12. A.A. Mironenko. “Vessel's program motion model in restricted waters.” Mehatronika, avtomatizaciya, upravleniye 2 (2013): 65-70.

13. Tam, Ch. K., R. Bucknall, and A. Greig. “Review of collision avoidance and path planning methods for ships in close range encounters.” Journal of Navigation 62.03 (2009): 455–476. DOI: 10.1017/S0373463308005134

14. V.V. Klyuev. “Employment of theory of geometric probabilities to evaluate the index of the water area constraints for the northern sea route.” Navigation and Hydrography 46 (2016): 20-28.

15. Plammer K. J. Manevrirovaniye sudov v uzkostyah. L: Sudostroyeniye, 1986.

16. A.A. Lobanov, Yu.V. Rumyantsev, and D.M. Bukhov “Methodical aspects of design work intended to provide the navigation safety under the present-day conditions.” Navigation and Hydrography 35 (2013): 29-38.

17. Obshchiye polozheniya ob ustanovlenii putey dvizheniya sudov, № 9036. – MO SSSR, 1987.

18. V.V. Taratynov. “Feasibility of separation of sea routes” Morskoy flot 9 (1969): 19-20.

19. V.P. Taratynov. Sudovozhdeniye v stesnennyh rayonah. M: Transport, 1980.

20. P.G. Brodsky, Y.V. Rumyantsev, and S.N. Nekrasov. “On evaluation of the influence of maritime traffic intensity on accident rate.” Navigation and Hydrography 30 (2010): 36-42.

21. J. Weng, and S. Xue. “Ship collision frequency estimation in port fairways: a case study.” Journal of Navigation 68.03 (2015): 602–618. DOI: 10.1017/S0373463314000885.

22. Wu L. Mapping global shipping density from AIS data / L. Wu, Y. Xu, Q. Wang, F. Wang, Zh. Xu // Journal of Navigation. – 2016. – Vol. 70. – Is. 01. – Pp. 67–81. DOI: 10.1017/S0373463316000345.

23. Smetanin, S.I., V.A. Ignatyuk, and A.A. Evstifeev. “Implementation of the software part of the system of satellite monitoring.” Information technologies 21.6 (2015): 448–455.

24. MarineTraffic. Web. 1 Jun. 2017 <http://www.marinetraffic.com>

25. Golovchenko, B.S., and V.M. Grinyak. “Information system for vessels traffic data capture.” Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S.O. Makarova 2(24) (2014): 156–162.

26. Grinyak, V.M., A.S. Anikeeva, N.Yu. Vasilchenko, and E.G. Gusev. “On numerical experiments for ship collision avoidance methods research.” Modern high technologies 4-2 (2016): 230-234.

27. V.M. Grinyak, M.V. Trofimov, and V.I. Lulko. “Data visualization of ship collision avoidance system.” Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S.O. Makarova 4(38) (2016): 51–61. DOI: 10.21821/2309-5180-2016-8-4-51-61

28. V.M. Grinyak, and A.S. Devyatisilny “Marine safety estimation expert system based on neural fuzzy logic network” Control Sciences 4 (2016): 58-65.

29. Девятисильный А.С. Система экспертных оценок состояния безопасности на морских акваториях / А.С. Девятисильный, В.М. Дорожко, В.М. Гриняк, О.В. Кириченко, Н.В. Лоскутов // Информационные технологии. – 2004. - №11. - с. 48-53.

Grinyak Viktor Mikhailovich

Email: victor.grinyak@gmail.com

Vladivostok State University of Economics and Service

Vladivostok, Russian Federation

Ivanenko Yuri Sergeevich

Email: ingoncharova@mail.ru

Far Eastern Federal University

Vladivostok, Russian Federation

Keywords: vessel traffic control, collision avoidance, trace, closest point of approach, ais

For citation: Grinyak V.M. Ivanenko Y.S. USE AIS DATA FOR ESTIMATION OF MARINE TRAFFIC SAFETY. Modeling, Optimization and Information Technology. 2017;5(3). Available from: https://moit.vivt.ru/wp-content/uploads/2017/08/GrinyakIvanenko_3_1_17.pdf DOI: (In Russ).

396

Full text in PDF