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Analysis of Ship Accidents in the Istanbul Strait Using Neuro-Fuzzy and Genetically Optimised Fuzzy Classifiers

Published online by Cambridge University Press:  14 September 2017

Sercan Erol ,
Mengü Demir ,
Bayram Çetişli  and
Ekrem Eyüboğlu
Sercan Erol*
Affiliation:
(Department of Maritime Transportation and Management, Karadeniz Technical University, TR)
Mengü Demir
Affiliation:
(Information Technology Department Directorate, Karadeniz Technical University, TR)
Bayram Çetişli
Affiliation:
(Electrical Electronics Engineer, Isparta, TR)
Ekrem Eyüboğlu
Affiliation:
(Department of Maritime Transportation and Management, Karadeniz Technical University, TR)
*
(E-mail: sercerol@ktu.edu.tr)
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Abstract

Marine accident analysis is important for ships passing through narrow, shallow and busy waterways. This study analyses the accidents which have occurred in the Istanbul Strait and proposes both quantitative and qualitative assessments of marine accidents. Marine accidents occurring in the Istanbul Strait are analysed by using a method based on neuro-fuzzy and genetically optimised fuzzy classifiers. It can be concluded that accident severity increases when poor weather conditions prevail in the Strait regardless of ship size. Therefore, solutions to reduce unwanted events should be prioritised by accounting for weather conditions and the capacity of the vessels. This analysis indicates that the safety level would be significantly improved if all the vessels follow the passage guidelines.

Keywords

Accident AnalysisIstanbul StraitAdaptive Neuro-Fuzzy ClassifierMaritime TransportationGenetically Optimized Fuzzy Classifier
Type
Research Article
Information
The Journal of Navigation , Volume 71 , Issue 2 , March 2018 , pp. 419 - 436
Copyright
Copyright © The Royal Institute of Navigation 2017 

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