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Fuzzy C-Means Clustering of Ships Passing Through Turkish Straits

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Intelligent and Fuzzy Systems (INFUS 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 504))

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Abstract

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.

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Acknowledgements

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.

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Authors and Affiliations

  1. Department of Maritime Transportation Engineering, Istanbul Technical University, Tuzla, Istanbul, Turkey

    Cengiz Vefa Ekici & Ozcan Arslan

  2. Turkish Naval Forces, Ankara, Turkey

    Cengiz Vefa Ekici & Ulku Ozturk

Authors
  1. Cengiz Vefa Ekici
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  2. Ozcan Arslan
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  3. Ulku Ozturk
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Corresponding author

Correspondence to Cengiz Vefa Ekici .

Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Cengiz Kahraman

  2. Department of Industrial Engineering, Galatasaray University, Istanbul, Turkey

    A. Cagri Tolga

  3. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Sezi Cevik Onar

  4. Department of Industrial Engineering, Yildiz Technical University, Istanbul, Turkey

    Selcuk Cebi

  5. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Basar Oztaysi

  6. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Irem Ucal Sari

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Ekici, C.V., Arslan, O., Ozturk, U. (2022). Fuzzy C-Means Clustering of Ships Passing Through Turkish Straits. In: Kahraman, C., Tolga, A.C., Cevik Onar, S., Cebi, S., Oztaysi, B., Sari, I.U. (eds) Intelligent and Fuzzy Systems. INFUS 2022. Lecture Notes in Networks and Systems, vol 504. Springer, Cham. https://doi.org/10.1007/978-3-031-09173-5_43

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