Fuzzy C-Means Clustering of Ships Passing Through Turkish Straits

Cengiz Vefa Ekici; Ozcan Arslan; Ulku Ozturk

doi:10.1007/978-3-031-09173-5_43

Fuzzy C-Means Clustering of Ships Passing Through Turkish Straits

Cengiz Vefa Ekici^*, Ozcan Arslan, Ulku Ozturk

^*Bu çalışma için yazışmadan sorumlu yazar

Deniz Ulaş.İşl.Müh. Bölümü

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

2 Atıf (Scopus)

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference
Editörler	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, A. Cagri Tolga, Selcuk Cebi
Yayınlayan	Springer Science and Business Media Deutschland GmbH
Sayfalar	352-359
Sayfa sayısı	8
ISBN (Basılı)	9783031091728
DOI'lar	https://doi.org/10.1007/978-3-031-09173-5_43
Yayın durumu	Yayınlandı - 2022
Etkinlik	International Conference on Intelligent and Fuzzy Systems, INFUS 2022 - Izmir, Turkey Süre: 19 Tem 2022 → 21 Tem 2022

Yayın serisi

Adı	Lecture Notes in Networks and Systems
Hacim	504 LNNS
ISSN (Basılı)	2367-3370
ISSN (Elektronik)	2367-3389

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	International Conference on Intelligent and Fuzzy Systems, INFUS 2022
Ülke/Bölge	Turkey
Şehir	Izmir
Periyot	19/07/22 → 21/07/22

Bibliyografik not

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

Finansman

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.

Finansörler	Finansör numarası
Istanbul Teknik Üniversitesi

Belgeye Erişim

10.1007/978-3-031-09173-5_43

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Ekici, C. V., Arslan, O., & Ozturk, U. (2022). Fuzzy C-Means Clustering of Ships Passing Through Turkish Straits. In C. Kahraman, S. Cevik Onar, B. Oztaysi, I. U. Sari, A. C. Tolga, & S. Cebi (Eds.), Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference (pp. 352-359). (Lecture Notes in Networks and Systems; Hac. 504 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-09173-5_43

Ekici, Cengiz Vefa ; Arslan, Ozcan ; Ozturk, Ulku. / Fuzzy C-Means Clustering of Ships Passing Through Turkish Straits. Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference. editör / Cengiz Kahraman ; Sezi Cevik Onar ; Basar Oztaysi ; Irem Ucal Sari ; A. Cagri Tolga ; Selcuk Cebi. Springer Science and Business Media Deutschland GmbH, 2022. pp. 352-359 (Lecture Notes in Networks and Systems).

@inproceedings{1f729532440347968cabace437d9cd19,

title = "Fuzzy C-Means Clustering of Ships Passing Through Turkish Straits",

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.",

keywords = "Fuzzy clustering, Maritime safety, Narrow waterways, Turkish Straits",

author = "Ekici, {Cengiz Vefa} and Ozcan Arslan and Ulku Ozturk",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference on Intelligent and Fuzzy Systems, INFUS 2022 ; Conference date: 19-07-2022 Through 21-07-2022",

year = "2022",

doi = "10.1007/978-3-031-09173-5_43",

language = "English",

isbn = "9783031091728",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "352--359",

editor = "Cengiz Kahraman and {Cevik Onar}, Sezi and Basar Oztaysi and Sari, {Irem Ucal} and Tolga, {A. Cagri} and Selcuk Cebi",

booktitle = "Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference",

address = "Germany",

}

Ekici, CV, Arslan, O & Ozturk, U 2022, Fuzzy C-Means Clustering of Ships Passing Through Turkish Straits. in C Kahraman, S Cevik Onar, B Oztaysi, IU Sari, AC Tolga & S Cebi (eds), Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference. Lecture Notes in Networks and Systems, hac. 504 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 352-359, International Conference on Intelligent and Fuzzy Systems, INFUS 2022, Izmir, Turkey, 19/07/22. https://doi.org/10.1007/978-3-031-09173-5_43

Fuzzy C-Means Clustering of Ships Passing Through Turkish Straits. / Ekici, Cengiz Vefa; Arslan, Ozcan; Ozturk, Ulku.
Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Ucal Sari; A. Cagri Tolga; Selcuk Cebi. Springer Science and Business Media Deutschland GmbH, 2022. p. 352-359 (Lecture Notes in Networks and Systems; Hac. 504 LNNS).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Fuzzy C-Means Clustering of Ships Passing Through Turkish Straits

AU - Ekici, Cengiz Vefa

AU - Arslan, Ozcan

AU - Ozturk, Ulku

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - Fuzzy clustering

KW - Maritime safety

KW - Narrow waterways

KW - Turkish Straits

UR - http://www.scopus.com/inward/record.url?scp=85135080814&partnerID=8YFLogxK

U2 - 10.1007/978-3-031-09173-5_43

DO - 10.1007/978-3-031-09173-5_43

M3 - Conference contribution

AN - SCOPUS:85135080814

SN - 9783031091728

T3 - Lecture Notes in Networks and Systems

SP - 352

EP - 359

BT - Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference

A2 - Kahraman, Cengiz

A2 - Cevik Onar, Sezi

A2 - Oztaysi, Basar

A2 - Sari, Irem Ucal

A2 - Tolga, A. Cagri

A2 - Cebi, Selcuk

PB - Springer Science and Business Media Deutschland GmbH

T2 - International Conference on Intelligent and Fuzzy Systems, INFUS 2022

Y2 - 19 July 2022 through 21 July 2022

ER -

Ekici CV, Arslan O, Ozturk U. Fuzzy C-Means Clustering of Ships Passing Through Turkish Straits. In Kahraman C, Cevik Onar S, Oztaysi B, Sari IU, Tolga AC, Cebi S, editörler, Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference. Springer Science and Business Media Deutschland GmbH. 2022. p. 352-359. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-09173-5_43