Fuzzy C-Means Clustering of Ships Passing Through Turkish Straits

Cengiz Vefa Ekici*, Ozcan Arslan, Ulku Ozturk

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)


Maritime authorities not only have ensured reactive but also proactive measures in the straits, canals and narrow waterways with geographical restrictions and high traffic density to mitigate possible accident risks. These measures include a variety of approaches to conducting a realistic risk analysis. Considering the previous accidents, increasing traffic density and unique difficulties in the Turkish Straits, taking proactive measures to ensure their safety has become an important issue. Furthermore, a wide variety of ships navigating this waterway have been having difficulties in making good judgments. Therefore, this study has focused on the clustering of the ships in the Turkish Straits which can be deemed as the first step of realistic risk analysis in narrow waterways. Fuzzy C-Means clustering method has been employed, based on Sailing Plan-1 reports data between 2005 and 2021 in order to reveal maritime traffic characteristics for further analysis. Results have shown that three clusters are suitable for ship risk profile as a first step but an additional hierarchical layer may be needed to overcome the contradictory situations.

Original languageEnglish
Title of host publicationIntelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference
EditorsCengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, A. Cagri Tolga, Selcuk Cebi
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages8
ISBN (Print)9783031091728
Publication statusPublished - 2022
EventInternational Conference on Intelligent and Fuzzy Systems, INFUS 2022 - Izmir, Turkey
Duration: 19 Jul 202221 Jul 2022

Publication series

NameLecture Notes in Networks and Systems
Volume504 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389


ConferenceInternational Conference on Intelligent and Fuzzy Systems, INFUS 2022

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.


The article is produced from the Ph.D. thesis research of Cengiz Vefa Ekici entitled “Developing Ship Risk Profile Model for Turkish Straits” which has been executed in a Ph.D. Program in Maritime Transportation Engineering of Istanbul Technical University Graduate School.

FundersFunder number
Istanbul Teknik Üniversitesi


    • Fuzzy clustering
    • Maritime safety
    • Narrow waterways
    • Turkish Straits


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