A Modest Numerical Simulation for Automatic Ship Collision Avoidance System to Support Green and Autonomous Shipping Concept

Yuda Apri Hermawan, Fernanda Wahyu Pratama, Totok Yulianto, Dedi Budi Purwanto

Abstract


The development of autonomous ship is being pursued massively and significantly, either industrially, regulatory, or academic. The autonomous ship is considered to be able to significantly reduce challenges caused by unexpected errors of manual navigation (manned ship). One of the challenges for autonomous ship development is constructing an automatic ship collision avoidance system as a basic system for identifying and avoiding an obstacle object around the ship. The collision avoidance system must consider not only the position of the ship and the obstacle but also the maneuvering characteristic (ship dynamics) and control system of the ship, thereby making its numerical system more complex. This research presents a modest numerical simulation for designing an automatic ship collision avoidance system. However, the numerical model still considers the main necessary elements of the system. The numerical model includes a set of automatic guidance system, collision avoidance system, ship dynamics, and control system. Head on head, overtaking, and crossing collision scenarios are performed to investigate the numerical model. The simulation results show that the modest numerical simulation can be used to perform an automatic ship collision avoidance system in which the ship can automatically avoid a target ship considered as the ship’s obstacle in those three collision scenarios.


Keywords


Autonomous ship; Ship collision avoidance; Fuzzy logic

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References


Zanella, T.V.: The Environmental Impacts of The “Maritime Autonomous Surface Ships” (MASS). Veredas do Direito. v.17 n.39, 2020

Tanaka, Y: The International Law of the Sea 2nd Edition. Cambridge University Press, New York, 2015

Zanella, T. V.: Direito Ambiental do Mar: a prevenção da poluição pornavios. Belo Horizonte: D’Plácido, 2019

Primo, D.A.S., Barreto, C.P., Mont’alverne, T.C.F.: Direito Internacional e Poluição Sonora Marinha: efeitos jurídicos do reconhecimento do som como fonte de poluição dos oceanos. Veredas do Direito. Belo Horizonte. v. 15, n. 32, p. 277-295, 2018

Li, S., and Fung, K.S.: Maritime autonomous surfasse ships (MASS): implementation and legal issues. Maritime Business Review, v. 4, n. 4, 330-339, 2019

Georlandt, F.: Maritime Autonomous Surface Ships from a risk governance perspective: Interpretation and implications. Safety Science. 128. 104756, 2020

Insaurralde, C.C.: Autonomic computing technology for autonomous marine vehicles. Ocean Engineering. 74. 233-246, 2013

Chen, Z., Chen, D., Zhang, Y., Cheng, X., and Zhang M.: Deep learning for autonomous ship-oriented small ship detection. Safety Science. 130. 104812, 2020

Rothblum, A.: Human error and marine safety. Maritime Human Factors Conference, Linthicum, MD, March 13‐14, 2000.

He, Y., Jin, Y., Huang, L., Xiong, Y., Chen, P. and Mou, J.: Quantitative Analysis of COLREG Rules and Seamanship for Autonomous Collision Avoidance at Open Sea. Ocean Engineering. 140. 281-291, 2017

Fossen, T. I.: Guidance and Control Ocean Vehicles. Chichester: John Wiley & Sons Ltd., 1994

The Society of Naval Architecture and Marine Engineers (SNAME): Nomenclature for Treating the Motion of a Submerged Body Through a Fluid. Tech. and Research Bulletin No. 1-5, 1950

Abkowitz, M. A.: Lectures on Ship Hydrodynamics – Steering and Maneuverability. Report No. Hy-5. Hydrodynamics Department, Hydro-og Aerodynamics Laboratorium, Lyngby, Denmark, May 1964.

Nomoto, K., Taguchi, T., Honda, K. and Hirano, S., On the Steering Qualities of Ship. Technical Report, International Shipbuilding Progress, Vol. 4, 1957

Zaojian, Z.: Lecture Notes Ship Manoeuvring and Seakeeping. School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, 2006

Davidson, K.S.M. and Schiff, L., I.: Turning and Course Keeping Qualities. Transactions of SNAME, Vol. 54, 1964

Healey, A., J. and Lienard, D.: Multivariable Sliding Mode Control for Autonomous Diving and Steering of Unmanned Underwater Vehicles. IEEE Journal of Ocean Engineering OE-18(3): 327-339, 1993

Choe, B. and Furukawa, Y.: Development of Track Keeping Algorithm using Fuzzy Inference. Proceeding of the Twenty-eight International Ocean and Polar Engineering Conference (ISOPE), Sapporo, Japan, June 10-15, 2018.

Choe, B. and Furukawa, Y.: Study on Automatic Path Following and Collision Avoidance Algorithm for Intelligent Ships. Doctoral Thesis, Department of Maritime Engineering, Graduate School of Engineering, Kyushu University, Japan. 2019

Kijima, K. and Furukawa, Y.: Development of Collision Avoidance Algorithm using Fuzzy Inference. Proceeding of the Fifth International Ocean and Polar Engineering Conference (ISOPE) Pacific/Asia Offshore Mechanics Symposium, Daejon, 123-130, 2002

Ota, D. and Furukawa Y.: Study on Performance Improvement of Collision Avoidance System Based on Reinforcement Learning. Master Thesis, Department of Maritime Engineering, Graduate School of Engineering, Kyushu University, Japan, 2017

Kijima, K. and Furukawa, Y.: Automatic Collision Avoidance System Using the Concept of Blocking Area. IFAC Manoeuvring and Control of Marine Craft, Girona, Spain, 2003

Arimura, N., Yamada, K., Sugasawa, S. and Okano, Y.: Development of Collision Preventing Support System – Model of Evaluation Indices for Navigation. Journal of Japan Institute of Navigation 91, 95-201, 1994

International Maritime Organization (IMO): COLREGs 1972 Convention on the International Regulations for Preventing Collisions at Sea. IMO, 1972




DOI: http://dx.doi.org/10.12962/j25800914.v7i1.15530

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