Enhancing passage planning with fuzzy logic for sea navigation: A hybrid approach to cross track limit determination

Basit Öğe Kaydı
dc.authorid0009-0003-0070-3785
dc.authorid0000-0002-0623-6714
dc.authorid0000-0002-6047-7922
dc.contributor.authorAyten, Abdulhamit
dc.contributor.authorFiskin, Remzi
dc.contributor.authorArslan, Omer
dc.contributor.authorGaleazzi, Roberto
dc.date.accessioned2026-02-03T12:02:40Z
dc.date.available2026-02-03T12:02:40Z
dc.date.issued2025
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractSafe navigation in passage planning depends on multiple factors, including ship maneuverability, size, speed, traffic conditions, and Cross Track Limit (XTL). Traditionally, XTL settings are based on company policies, navigator experience, and subjective risk perception, which often leads to inconsistencies. To address this issue, this study introduces a structured decision-support framework that integrates the Fuzzy Extended Analytic Hierarchy Process (FE-AHP) with a Mamdani-type Fuzzy Inference System (FIS). FE-AHP was applied to systematically identify and rank factors affecting XTL, while the FIS generated context-sensitive recommendations. The analysis differentiates between open seas and confined waters. In open seas, static ship-related factors such as maneuverability (MOS), length (LOS), and width (WOS) dominate, whereas in confined waters, dynamic and environmental variables, including draft (DOS) and the Category Zone of Confidence (CATZOC), play a more decisive role. Numerical experiments demonstrated practical applicability. In open seas, XTL values ranged from 1.46 Nm in unfavorable conditions to 4.54 Nm under optimal ones, depending on ship features, navigator experience, and traffic risk. In confined waters, values were narrower, between 0.12 Nm (high draft, low CATZOC, inexperienced navigator) and 0.85 Nm in favorable settings. These results highlight that while open seas allow wider maneuvering margins, confined waters critically constrain navigation due to environmental and operational factors. By combining expert knowledge with quantitative modeling, the FE-AHP + FIS framework reduces reliance on subjective judgment and improves consistency in XTL determination. This structured approach supports more informed, data-driven passage planning and contributes to safer, more efficient maritime navigation.
dc.description.sponsorshipScientific Research Coordination Unit of Ordu University [B-2332]
dc.description.sponsorshipThis study was granted by the Scientific Research Coordination Unit of Ordu University (Project Number: B-2332) .
dc.identifier.doi10.1016/j.oceaneng.2025.123052
dc.identifier.issn0029-8018
dc.identifier.issn1873-5258
dc.identifier.scopus2-s2.0-105019220988
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.oceaneng.2025.123052
dc.identifier.urihttps://hdl.handle.net/20.500.12428/34806
dc.identifier.volume342
dc.identifier.wosWOS:001596572600001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltd
dc.relation.ispartofOcean Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20260130
dc.subjectCross track limit
dc.subjectNavigational safety
dc.subjectFuzzy logic
dc.subjectDecision support system
dc.titleEnhancing passage planning with fuzzy logic for sea navigation: A hybrid approach to cross track limit determination
dc.typeArticle

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu