Simulation on vessel intelligent collision avoidance based on artificial fish swarm algorithm

• Autorzy: Li W. , Ma W.
• Języki publikacji: EN

Abstrakty

EN

TAs the rapid development of the ship equipments and navigation technology, vessel intelligent collision avoidance theory was researched world widely. Meantime, more and more ship intelligent collision avoidance products are put into use. It not only makes the ship much safer, but also lighten the officers work intensity and improve the ship’s economy. The paper based on the International Regulation for Preventing Collision at sea and ship domain theories, with the ship proceeding distance when collision avoidance as the objective function, through the artificial fish swarm algorithm to optimize the collision avoidance path, and finally simulates overtaking situation, crossing situation and head-on situation three classic meeting situation of ships on the sea by VC++ computer language. Calculation and simulation results are basically consistent with the actual situation which certifies that its validity

• Wydawca: -
• Czasopismo: Polish Maritime Research
• Rocznik: 2016
• Tom: 23
• Numer: Special Issue S1
• Opis fizyczny: p.138-143,fig.,ref.

Twórcy

autor

Li W.

• Navigation College, Dalian Maritime University, Dalian 116026, China

autor

Ma W.

• Navigation College, Dalian Maritime University, Dalian 116026, China

Bibliografia

• 1. Lee, S.M., Kwon, K. Y. and Joh, J. A fuzzy logic for autonomous navigation of marine vehicles satisfying COLREG guidelines[J]. International Journal of Control Automation And Systems, (2004).2, 171-181.
• 2. Egil Pedersen and Kinzo Inoue. Simulator Studies on a Collision Avoidance Display that Facilitates Efficient and Precise Assessment of Evasive Manoeuvres in Congested Waterways[J]. Journal of Navigation.2003(56):411-427.
• 3. Ming-Cheng Tsou，Sheng-Long Kao，Chien-Min Su. Decision Support from Genetic Algorithms for Ship Collision Avoidance Route Planning and Alerts[J]. Journal of Navigation, 2010, 63(1), 1-16.
• 4. Ming-Cheng Tsou, Chao-Kuang Hsueh. The Study of Ship Collision Avoidance Route Planning by Ant Colony Algorithm. Journal of Marine Science and Technology, 2010,18(5):746-756.
• 5. Rafal Szlapczynski. A Unified Measure Of Collision Risk Derived From The Concept Of A Ship Domain[J]. Journal of Navigation.2006(59):477-490.
• 6. Jang San, Je Yefei, Dasgupta S. Artificial Fish Swarm Algorithm for Solving Road Network Equilibrium Traffic Assignment Problem [J]. Journal of computer emulation,2011,28(6): 326-329.
• 7. Pedersen.E , Inoue .K, Masanori. T. Simulator Studies on a Collision Avoidance Display that Facilitates Efficient and Precise Assessment of Evasive Manoeuvres in Congested Waterways [J]. The Royal Institute of Navigation (2003). 411-427.
• 8. Bi Xiuying, Jia Chuanying, Wu ZhaoLin. Opportunity and Actions Taken of Ship’s changing speed collision avoidance. Journal of Dalian Maritime University, 2003, 29(1):9-12.
• 9. Liu Dexin, Wu ZhaoLin and Jia ChuanYing. Decision Making Model of DCPA, TCPA and Object’s Movement Parameter . Journal of Dalian Maritime University, 2004, 30(1), 22-25.
• 10. Zhao Yuelin. Ships collision avoidance and watch keeping[M].Dalian Maritime University,2012.
• 11. Gemeinder M, Gerke M. GA-Based Path Planning for Mobile Robot System Employing an Active Search Algorithm [J]. Applied Soft Computing, 2003,(3):149-158.

Identyfikatory

DOI

10.1515/pomr-2016-0058