Polygonal Type Fuzzy Ship Domain-Based Decision Support System for Collision Avoidance Route Planning

Fiskin R., NASİBOĞLU E., Yardimci M. O.

JOURNAL OF ETA MARITIME SCIENCE, cilt.11, sa.1, ss.2-13, 2023 (ESCI, Scopus, TRDizin) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 11 Sayı: 1
  • Basım Tarihi: 2023
  • Doi Numarası: 10.4274/jems.2023.23245
  • Dergi Adı: JOURNAL OF ETA MARITIME SCIENCE
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus, Applied Science & Technology Source, Central & Eastern European Academic Source (CEEAS), Directory of Open Access Journals, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.2-13
  • Anahtar Kelimeler: COLREG, Ship domain, Fuzzy logic, Collision avoidance, Optimization
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

This study presents a methodology for a decision support system based on a polygonal fuzzy ship domain, which takes into account the Convention on International Regulations for Preventing Collisions at Sea. A user interface has been created for the decision support function of collision avoidance (CA) at sea by designing a C# form application using the Microsoft Visual Studio platform. Numerical experiments and case scenarios have demonstrated that the proposed model can provide a reasonable and practical solution. Additionally, the results indicate that the developed model can accurately manage the CA action, and the planned CA trajectory can ensure safe navigation. This study is an excellent example of an algorithm structure that combines fuzzy logic and a deterministic approach. The developed methodology is anticipated to effectively guide vessel traffic services operators and navigators and contribute to ship automation, e-navigation strategy, and navigational safety at sea.