PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Decision support system for collision avoidance at sea

Autorzy
Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper presents design and realization of computer decision support system in collision situations of passage with greater quantity of met objects. The system was implemented into the real ship electro-navigational system onboard research and training ship m/v HORYZONT II. The radar system with Automatic Radar Plotting Aid constitutes a source of input data for algorithm determining safe trajectory of a ship. The article introduces radar data transmission details. The dynamic programming algorithm is used for the determination of safe optimal trajectory of own ship. The system enables navigational data transmission from radar system and automatic determining of safe manoeuvre or safe trajectory of a ship. Further development of navigator’s decision support system is also presented. Path Planning Subsystem is proposed for the determination of global optimal route between harbours with the use of Ant Colony Optimization algorithms.
Rocznik
Tom
S 1
Strony
19--24
Opis fizyczny
Bibliogr. 30 poz., rys.
Twórcy
  • Faculty of Marine Electrical Engineering, Gdynia Maritime University, Morska 81-87 81-225 Gdynia, POLAND, aglaz@am.gdynia.pl
Bibliografia
  • 1. Wołejsza P., Szewczuk T.: Analysis of navigational data availability on the basis of m/s Nawigator XXI. Scientific Journals, Maritime University of Szczecin. No. 13(85), 2008, p.115-119.
  • 2. Bole A., Dineley B: Radar and ARPA manual. Butterworth- Heinemann Ltd, Oxford, 2000.
  • 3. Rothblum A.M., Wheal D., Withington S., Shappell S.A., Wiegmann D.A., Boehm W., Chaderjian M.: Key to successful incident inquiry. In: Proceedings 2nd international workshop on human factors in offshore operations, HFW2002, Houston, TX, p.1–6.
  • 4. Cockcroft A.N., Lameijer J.N.F.: a guide to collision avoidance rules. Elsevier, Amsterdam-Tokyo, 2004.
  • 5. Lisowski J.: Computational intelligence methods in the safe ship control process. Polish Maritime Research. No. 1,Vol. 8, 2001, p. 18-24.
  • 6. IEC 61162-1 International Standard: Maritime navigation and radio communication equipment and systems – Digital interfaces – Part 1: Single talker and multiple listeners.
  • 7. Documents for Operators and Engineers: Operating Instructions RADARPILOT 1100, Service Manual IEC-Interface. SAM Electronics, 2005.
  • 8. Daniluk A.: RS 232C – practical programming. From Pascal and C++ to Delphi and Builder, Helion, Warszawa, 2007 (in Polish).
  • 9. Lisowski J.: Optimal and game ship control algorithms for avoiding collisions at sea. In C.A. Brebbia (Ed), Risk Analysis VI: Simulation and Hazard Mitigation, WIT Press Computational Mechanics Inc., Southampton-Boston, 2008, p. 525-534.
  • 10. Lisowski J.: Sensitivity of Safe Game Ship Control. 16th Mediterranean Conference on Control and Automation Congress Centre, Ajaccio, France, 2008, p.220-225.
  • 11. Lisowski J.: The Dynamic Game Models of Safe Navigation. TransNav - International Journal of Marine Navigation and Safety of Sea Transportation, Vol.1, No.1, 2007, p. 11-18.
  • 12. Lisowski J.: The dynamic game theory methods applied to ship control with minimum risk of collision. In C.A. Brebbia and V.Popov (Ed), Risk Analysis V: Simulation and Hazard Mitigation, WIT Press Computational Mechanics Inc., Southampton-Boston, 2006, p. 293-302.
  • 13. Lisowski J.: Multi-step matrix game with the risk of ship collision. In C.A. Brebbia (Ed), Risk Analysis IV: Simulation and Hazard Mitigation, WIT Press Computational Mechanics Inc., Southampton-Boston, 2004, p. 669-680.
  • 14. Pietrzykowski Z., Uriasz J..: Knowledge Representation in a Ship’s Navigational Decision Support System. TransNav - International Journal of Marine Navigation and Safety of Sea Transportation, Vol.4, No.3, 2010, p. 265-270.
  • 15. Zhuo Y., Hearn G.E.: a ship based intelligent anti-collision decision-making support system utilizing trial manoeuvers. Proceedings of 2008 Chinese control and decision conference, CCDC 2008, Yantai, China, p. 3982-3987.
  • 16. Perera L.P., Carvalho J.P., Guedes Soares C.: Fuzzy logic based decision making system for collision avoidance of ocean navigation under critical collision conditions. Journal of Marine Science and Technology, Vol. 16, No. 1, 2011, p.84-99.
  • 17. Lee S.-M., Kwon K.-Y., Joh J.: a Fuzzy Logic for Autonomous Navigation of Marine Vehicles Satisfying COLREG Guidelines. International Journal of Control, Automation, and Systems, Vol. 2, No. 2, 2004, p.171-181.
  • 18. Hwang C.-N., Joe-Ming Yang J.-M., Chiang C.-Y.: The design of fuzzy collision-avoidance expert system implemented by H∞- autopilot. Journal of Marine Science and Technology, Vol. 9, No. 1, 2001, p. 25-37.
  • 19. Śmierzchalski R., Michalewicz Z.: Modeling of ship trajectory in collision situations by an evolutionary algorithm. IEEE Transactions on Evolutionary Computation, Vol. 4, No. 3 , 2000, p.227-241.
  • 20. Cheng X.D., Liu Z.Y., Zhang X.T.: Trajectory optimization for ship collision avoidance system using genetic algorithm. Proceedings OCEANS 2006 - Asia Pacific, Singapore, p. 1-5.
  • 21. Lisowski J.: Optimization decision support system for safe ship control. In C.A. Brebbia (Ed), Risk Analysis VII: Simulation and Hazard Mitigation, WIT Press Computational Mechanics Inc., Southampton-Boston, 2010, p. 259-272.
  • 22. Lisowski J.: Multistage ship’s optimal control in collision situations using a neural network. II International Conference Safe Navigation Beyond, 2000, p.109-119.
  • 23. Lisowski J., Pachciarek A.: Navigational data transmission in computer navigator’s decision support system in collision situation. Telecommunication review, No. 1, 2009, p. 33-35 (in Polish).
  • 24. Pachciarek A.: Project of navigator’s decision support system with the use of algorithms determining safe trajectory of a ship. MSc thesis, Gdynia Maritime University, 2008, (in Polish).
  • 25. Tran T., Harris C.J., Wilson P.A.: Maritime Avoidance Navigation, Totally Integrated system (MANTIS). 12th SCSS 1999 - 12th Ship Control Systems Symposium, The Hague, The Netherlands, Royal Dutch Navy.
  • 26. Blum C.: Ant colony optimization: Introduction and recent trends. Physics of life Reviews, No. 2(4), p.353-373, 2005.
  • 27. Dorigo M., Stützle T.: The Ant Colony Optimization Metaheuristic: Algorithms, Applications, and Advances. Handbook of Metaheuristics, 2002.
  • 28. Dorigo M., Di Caro G., Gambardella L.M.: Ant Algorithms for Discrete Optimization.Artificial Life, No. 5(2), p.137-172, 1999.
  • 29. Szłapczyńska J.: Application of evolutionary algorithms and rank-based methods for path planning of a vessel with hybrid propulsion. Doctoral thesis, West Pomeranian University of Technology, Szczecin, 2009 (in Polish).
  • 30. Wiśniewski B.: Ship Ocean Route Programming. Scientific Journals, Maritime University of Szczecin. No. 2(74), 2004, p.395-406.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWM4-0041-0026
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.