Decision support system for collision avoidance at sea

1. Wołejsza P., Szewczuk T.: Analysis of navigational dataavailability on the basis of m/s Nawigator XXI. Scientific Journals, Maritime University of Szczecin. No. 13(85), 2008, p.115-119.Search in Google Scholar

2. Bole A., Dineley B: Radar and ARPA manual. Butterworth- Heinemann Ltd, Oxford, 2000.Search in Google Scholar

3. Rothblum A.M., Wheal D., Withington S., Shappell S.A., Wiegmann D.A., Boehm W., Chaderjian M.: Key to successfulincident inquiry. In: Proceedings 2nd international workshop on human factors in offshore operations, HFW2002, Houston, TX, p.1-6.Search in Google Scholar

4. Cockcroft A.N., Lameijer J.N.F.: a guide to collision avoidancerules. Elsevier, Amsterdam-Tokyo, 2004.Search in Google Scholar

5. Lisowski J.: Computational intelligence methods in the safe shipcontrol process. Polish Maritime Research. No. 1,Vol. 8, 2001, p. 18-24.Search in Google Scholar

6. IEC 61162-1 International Standard: Maritime navigationand radio communication equipment and systems - Digitalinterfaces - Part 1: Single talker and multiple listeners.Search in Google Scholar

7. Documents for Operators and Engineers: Operating InstructionsRADARPILOT 1100, Service Manual IEC-Interface. SAM Electronics, 2005.Search in Google Scholar

8. Daniluk A.: RS 232C - practical programming. From Pascaland C++ to Delphi and Builder, Helion, Warszawa, 2007 (in Polish).Search in Google Scholar

9. Lisowski J.: Optimal and game ship control algorithmsfor 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. 525-534.10.2495/RISK080511Search in Google Scholar

10. Lisowski J.: Sensitivity of Safe Game Ship Control. 16th Mediterranean Conference on Control and Automation Congress Centre, Ajaccio, France, 2008, p.220-225.10.1109/MED.2008.4601979Search in Google Scholar

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.Search in Google Scholar

12. Lisowski J.: The dynamic game theory methods applied toship 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. 293-302.10.2495/RISK060281Search in Google Scholar

13. Lisowski J.: Multi-step matrix game with the risk of shipcollision. In C.A. Brebbia (Ed), Risk Analysis IV: Simulation and Hazard Mitigation, WIT Press Computational Mechanics Inc., Southampton-Boston, 2004, p. 669-680.Search in Google Scholar

14. Pietrzykowski Z., Uriasz J..: Knowledge Representation ina 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.Search in Google Scholar

15. Zhuo Y., Hearn G.E.: a ship based intelligent anti-collisiondecision-making support system utilizing trial manoeuvers. Proceedings of 2008 Chinese control and decision conference, CCDC 2008, Yantai, China, p. 3982-3987.Search in Google Scholar

16. Perera L.P., Carvalho J.P., Guedes Soares C.: Fuzzy logicbased decision making system for collision avoidance of oceannavigation under critical collision conditions. Journal of Marine Science and Technology, Vol. 16, No. 1, 2011, p.84-99.10.1007/s00773-010-0106-xSearch in Google Scholar

17. Lee S.-M., Kwon K.-Y., Joh J.: a Fuzzy Logic for AutonomousNavigation of Marine Vehicles Satisfying COLREG Guidelines. International Journal of Control, Automation, and Systems, Vol. 2, No. 2, 2004, p.171-181.Search in Google Scholar

18. Hwang C.-N., Joe-Ming Yang J.-M., Chiang C.-Y.: The designof fuzzy collision-avoidance expert system implemented by H∞-autopilot. Journal of Marine Science and Technology, Vol. 9, No. 1, 2001, p. 25-37.10.51400/2709-6998.2432Search in Google Scholar

19. Śmierzchalski R., Michalewicz Z.: Modeling of ship trajectoryin collision situations by an evolutionary algorithm. IEEE Transactions on Evolutionary Computation, Vol. 4, No. 3 , 2000, p.227-241.10.1109/4235.873234Search in Google Scholar

20. Cheng X.D., Liu Z.Y., Zhang X.T.: Trajectory optimizationfor ship collision avoidance system using genetic algorithm. Proceedings OCEANS 2006 - Asia Pacific, Singapore, p. 1-5.10.1109/OCEANSAP.2006.4393976Search in Google Scholar

21. Lisowski J.: Optimization decision support system for safe shipcontrol. In C.A. Brebbia (Ed), Risk Analysis VII: Simulation and Hazard Mitigation, WIT Press Computational Mechanics Inc., Southampton-Boston, 2010, p. 259-272.10.2495/RISK100231Search in Google Scholar

22. Lisowski J.: Multistage ship’s optimal control in collisionsituations using a neural network. II International Conference Safe Navigation Beyond, 2000, p.109-119.Search in Google Scholar

23. Lisowski J., Pachciarek A.: Navigational data transmissionin computer navigator’s decision support system in collisionsituation. Telecommunication review, No. 1, 2009, p. 33-35 (in Polish).Search in Google Scholar

24. Pachciarek A.: Project of navigator’s decision support systemwith the use of algorithms determining safe trajectory of a ship. MSc thesis, Gdynia Maritime University, 2008, (in Polish).Search in Google Scholar

25. Tran T., Harris C.J., Wilson P.A.: Maritime AvoidanceNavigation, Totally Integrated system (MANTIS). 12th SCSS 1999 - 12th Ship Control Systems Symposium, The Hague, The Netherlands, Royal Dutch Navy.Search in Google Scholar

26. Blum C.: Ant colony optimization: Introduction and recenttrends. Physics of life Reviews, No. 2(4), p.353-373, 2005.10.1016/j.plrev.2005.10.001Search in Google Scholar

27. Dorigo M., Stutzle T.: The Ant Colony OptimizationMetaheuristic: Algorithms, Applications, and Advances. Handbook of Metaheuristics, 2002.10.1007/0-306-48056-5_9Search in Google Scholar

28. Dorigo M., Di Caro G., Gambardella L.M.: Ant Algorithms forDiscrete Optimization.Artificial Life, No. 5(2), p.137-172, 1999.10.1162/10645469956872810633574Search in Google Scholar

29. Szłapczyńska J.: Application of evolutionary algorithms andrank-based methods for path planning of a vessel with hybridpropulsion. Doctoral thesis, West Pomeranian University of Technology, Szczecin, 2009 (in Polish).Search in Google Scholar

30. Wiśniewski B.: Ship Ocean Route Programming. Scientific Journals, Maritime University of Szczecin. No. 2(74), 2004, p.395-406. Search in Google Scholar