Evaluating navigational risk of port approach manoeuvrings with expert assessments and machine learning

Ulku Ozturk*, S. Ilker Birbil, Kadir Cicek

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Dergiye katkıMakalebilirkişi

27 Atıf (Scopus)

Özet

Various methods have been proposed to assess the navigational collision risk of maritime transportation in open sea and restricted waterways. However, there is a gap in the literature concerning an effective method that studies the same risk in port approach manoeuvrings. In this study, we fill this gap with a method stemming from two proposals: First, we present three new parameters (distance, area and speed) to improve the navigational collision risk models applied in port basins. Second, we propose a novel methodology based on machine learning and fuzzy inference to assess the risk of collision in port approach. To support our discussion, we conduct ship-handling simulation experiments with 20 expert pilots and compile a large dataset. Furthermore, we test our methodology in a port approach manoeuvring scenario. Overall, our simulation results show that the proposed method is adequate for weighing both the severity of the port approach manoeuvrings and the relative importance of the involved parameters.

Orijinal dilİngilizce
Makale numarası106558
DergiOcean Engineering
Hacim192
DOI'lar
Yayın durumuYayınlandı - 15 Kas 2019

Bibliyografik not

Publisher Copyright:
© 2019 Elsevier Ltd

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