Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
cетевое издание
issn 2310-6018

FEASIBILITY STUDY FOR SHIP TRAJECTORY PLANNING PROBLEM USING MARINE WEATHER DATA FROM SATELLITES

Grinyak V.M.   Akmaykin D.A.   Ivanenko Y.S.  

UDC 519.68:15:681.5
DOI:

  • Abstract
  • List of references
  • About authors

The paper is devoted to the problem of obtaining of operative meteorological information in the planning of the optimal ways for the deep-sea voyages. Indicated that the weather conditions have a significant effect on the ship's seaway. In this regard, it seems expedient to solve the optimization task dynamically, taking into account the current and forecasted weather on the route and the technical abilities of the ship to navigation in heavy weather. The authors propose to use for this purpose the weather information obtained from the special meteorological satellites. At the same time, an important question is the age of meteorological data, obtained by this way. In order to get an answer for this question is modeling the orbital motion of meteorological satellites, with the help of classical representations of mathematical astronomy presented on this work. At the same time, estimated of the age of weather data on the sea surface obtained by satellites in dependin on the geographical latitude of the place and the characteristics of the sensors and orbit of the satellite. An approach method to select of meteorological satellites for acquisition of weather data along the planned ship’s route on the base of waiting-line problem theory. After the result of modeling, have been made a conclusion about the feasibility of the idea to planning the ship's route, taking into account the weather data by existing technical aids.

1. Tam Ch.K. Review of collision avoidance and path planning methods for ships in close range encounters / Ch.K. Tam, R. Bucknall, A. Greig // Journal of Navigation. 2009. Vol. 62. Is. 03. Pp. 455–476. DOI: 10.1017/S0373463308005134.

2. Lazarowska A. Ship’s trajectory planning for collision avoidance at sea based on ant colony otimisation / A. Lazarowska // Journal of Navigation. 2015. Vol. 68. Is. 2. Pp. 291–307. DOI: 10.1017/S0373463314000708.

3. Grinyak V.M., Goroshko O.A., Devyatisilny A.S. Expert System for Evaluation and Visualization of the Parameters of the Marine Traffic Safety // Mehatronika, avtomatizatsiya, upravleniye. 2017. Vol. 18. Is. 2. Pp. 127-134. DOI: 10.17587/mau.18.127-134.

4. Prohorenkov A.A. Application of situation simulation while estimation of inland waterway navigation safety // Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S. O. Makarova. 2011. Is. 1. Pp. 91-95.

5. Akmaykin D.A., Klueva C.F., Saluk P.A. Heuristic search for the optimal route ship northern sea route // Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S. O. Makarova. 2015. Is. 5(33). Pp. 55-62.

6. Moskalenko M.A., Akmaykin D.A. The use of the methods of optimal interpolation of hydrometeorological data to improve forecast accuracy for marine cargo transportation // Marine Intellectual Technologies. 2016. Is. 3(33). Pp. 285-289.

7. Bellman R., Dreyfus S. Prikladniye zadachi dinamicheskogo programmirovaniya. Moscow, Nauka, 1965. 475 p.

8. Kobayashi E. Advanced navigation route optimization for an oceangoing vessel / E. Kobayashi, T. Asajima, N. Sueyoshi // International Journal on Marine Navig

9. Lin Yu.H. The ship-routing optimization based on the three-dimensional modified isochrone method / Yu.H. Lin, M.Ch. Fang // Proceedings of the ASME 2013 32nd International Conference on Ocean, Offshore and Arctic Engineering (OMAE 2013). DOI: 10.1115/OMAE2013-10959.

10. Veremei E.I. Optimal Routing Based on Weather Forecast / E.I. Veremei, M.V. Sotnikova // International Journal of Open Information Technologies. 2016. Vol. 4. Is. 3. Pp. 55-61.

11. Globalware Project – [Электронный ресурс]. Режим доступа: http://globwave.ifremer.fr (дата обращения 01.07.17).

12. Akmaykin D.A. Results of Researching the Problem of Forming a Graph of Vessel’s Route on the Basis of Algorithms of Clustering / D.A. Akmaykin, C.F. Klueva, P.A. Saluk // Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S. O. Makarova. 2016. Is. 5(39). Pp. 29–38. DOI: 10.21821/2309-5180-2016-8-5-29-38.

13. Verba V.S. Radiolokatsionniye systemy zemleobzora kosmicheskogo basirovaniya. Moscow. Radiotehnika, 2010. 675 p.

14. Bondur V.G., Murynin A.B. Metody vosstanovleniya spektrov morskogo volneniya po spectram aerokosmicheskih izobrazheniy // Issledivaniya zemli iz kosmosa. 2015. Is. 6. Pp. 3–14. DOI: 10.7868/S0205961415060020.

15. Gavrikov A.V., Krinitsky M.A., Grigorieva V.G. Modification of Globwave satellite altimetry database for sea wave field diagnostics // Oceanology. 2016. Vol. 56. Is. 2. Pp. 301-306. DOI: 10.1134/S0001437016020065.

16. Maleev P.I., Ledenev N.I. Osobennosti, sostoyaniye i perspectivy razvitiya e-navigatsii morskih objectov Navigation and Gydrography. 2012. Is. 33. Pp. 16-20.

17. Balk M.B. Elementy dinamiki kosmicheskogo poleta. Moscow. Nauka, 1965. 338p.

18. Markeev A.P. Teoreticheskaya mehanika. Moscow, 1999. 572p.

19. Chelton D.B. On the Use of QuikSCAT Scatterometer Measurements of Surface Winds for Marine Weather Prediction / D.B. Chelton, M.H. Freilich, J.M. Sienkiewicz, J.M. von Ahn // Monthly Weather Review. – 2006. Vol.134. Is.8. Pp.2055–2071.

20. Risien C.M. A satellite-derived climatology of global ocean winds / C.M. Risien, D.B. Chelton // Remote Sensing of Environment. 2006. Vol.105. Is.3. Pp.221–236.

21. Chelton D.B. Scatterometer-Based Assessment of 10-m Wind Analyses from the Operational ECMWF and NCEP Numerical Weather Prediction Models / D.B. Chelton, M.H. Freilich // Monthly Weather Review. 2005. Vol.133. Is.2. Pp.409–429.

22. Gnedenko B.V. Kurs teorii veroyatnostey. Moscow. Nauka, 1988. 445p.

23. Nasser N.H. The features of modeling of traffic flows // Modelirovaniye, optimizatsiya i informatsionniye tehnologii. 2016. Is. 4(15). Pp. 16.

24. Grigorieva T.E, Istigecheva E.V. The development simulation models of rational route system // Modelirovaniye, optimizatsiya i informatsionniye tehnologii. 2016. Is. 3(14). Pp. 12.

Grinyak Viktor Mikhailovich
Doctor of Technical Sciences Associate Professor

Vladivostok State University of Economics and Service

Vladivostok, Russian Federation

Akmaykin Denis Aleksakndrovich
Candidate of Technical Sciences Associate Professor
Email: Akmaykin@msun.ru

Maritime State University Named Admiral Nevelskoi

Vladivostok, Russian Federation

Ivanenko Yuri Sergeevich

Far Eastern Federal University

Vladivostok, Russian Federation

Keywords: vessel traffic contro, path planning, satellite motion, weather data, data age, exponential distribution

For citation: Grinyak V.M. Akmaykin D.A. Ivanenko Y.S. FEASIBILITY STUDY FOR SHIP TRAJECTORY PLANNING PROBLEM USING MARINE WEATHER DATA FROM SATELLITES. Modeling, Optimization and Information Technology. 2017;5(2). Available from: https://moit.vivt.ru/wp-content/uploads/2017/05/GrinyakSoavtori%20_2_17_1.pdf DOI: (In Russ).

64

Full text in PDF