Design of New Fuzzy System to Determine the Three-Zone around the Ship
 |
International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2019 by IJCTT Journal | ||
| Volume-67 Issue-3 |
||
| Year of Publication : 2019 | ||
| Authors : Qousay Benshi,Oulfat Jolaha, Jaber Hanna | ||
| DOI : 10.14445/22312803/IJCTT-V67I3P130 |
MLA Style: Qousay Benshi,Oulfat Jolaha, Jaber Hanna "Design of New Fuzzy System to Determine the Three-Zone around the Ship" International Journal of Computer Trends and Technology 67.3 (2019): 156-164.
APA Style:Qousay Benshi,Oulfat Jolaha, Jaber Hanna (2019). Design of New Fuzzy System to Determine the Three-Zone around the Ship. International Journal of Computer Trends and Technology, 67(3), 156-164.
Abstract
In order to maintain the safety of sailing, it is necessary to determine the relationship between the vessel and any obstacle that may appear on its way. This relationship is essentially the distance of the obstacle from the vessel. It is therefore very important to identify a zone or zones surrounding the ship that determine the location of the target for it in order to prevent the presence of any obstacle within it. In this research, a fuzzy system is designed to calculate the radius of three proposed zones, namely the forbidden, dangerous and safe zone, based on human experience, taking into consideration the rules of COLREGS (International Regulations for Preventing Collisions at Sea).This system is Multi Input Multi Output (MIMO) and has three inputs that are the length, speed of the vessel, and sea state; and it has three outputs that are the radius of the three zones (forbidden, dangerous and safe zones). The proposed system is adjustable according to length and speed of vessel, and sea state.The system is designed and tested using MATLAB. The results were showed to marine experts who said that are good.
Reference
[1] International Maritime Organization, COLREG: Convention on the International Regulations for Preventing Collisions at Sea, 2003 Consolidated Edition (IB904E), 4th Edition. IMO Publishing, 2003.
[2] M. E. Goodwin, “A Statistical Study of Ship Domain,” J. Navig., vol. 28., 1975.
[3] Z. Pietrzykowski and J. Uriasz, “The Ship Domain – A Criterion of Navigational Safety Assessment in An Open Sea Area,” J. Navig., vol. 62, no. 1, pp. 93–108, 2009.
[4] K Marcjan, “Navigation Incident Models and Ship Domains Studies on The Baltic Sea,” Master’s Thesis, Maritime University of Szczecin, 2011.
[5] Z. Pietrzykowski, M. Wielgosz, and M. Siemianowicz, “Ship domain in the restricted area – simulation research,” Marit. Univ. Szczec., vol. 32, no. 104, pp. 152–156, 2012.
[6] H.-Z. Hsu, “Safety Domain Measurement for Vessels in an Overtaking Situation,” Int. J. E-Navig. Marit. Econ., vol. 1, pp. 29–38, Dec. 2014.
[7] S.-M. Lee, K.-Y. Kwon, and J. Joh, “A Fuzzy Logic for Autonomous Navigation of Marine Vehicles Satisfying COLREG Guidelines,” Int. J. Control, vol. 2, no. 2, p. 11, 2004.
[8] G. Wu, D. Shi, and J. Guo, “Deliberative collision avoidance for unmanned surface vehicle based on the directional weight,” J. Shanghai Jiaotong Univ. Sci., vol. 21, no. 3, pp. 307–312, Jun. 2016.
[9] C.-M. Su, K.-Y. Chang, and C.-Y. Cheng, “Fuzzy Decision on Optimal Collision Avoidance Measures for Ships in Vessel Traffic Service,” J. Mar. Sci. Technol., vol. 20, no. 1, p. 11, 2012.
[10] S.-L. Kao, C.-M. Su, C.-Y. Cheng, and K.-Y. Chang, “A New Method of Collision Avoidance for Vessel Traffic Service,” p. 7, 2007.
[11] J.Teilmann, “Influence of Sea State on Density Estimates of Harbour Porpoises (Phocoena Phocoena),” J. Cetacean Res. Manag., vol. 5, pp. 85–92, 2003.
Keywords
fuzzy system, collision avoidance, COLREGS.