A K-Means Clustering Algorithm to Determine Representative Operational Profiles of a Ship Using AIS Data

Autor: Jongseo Park, Minjoo Choi
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Journal of Marine Science and Engineering, Vol 10, Iss 9, p 1245 (2022)
Druh dokumentu: article
ISSN: 2077-1312
DOI: 10.3390/jmse10091245
Popis: Defining the appropriate functional requirements in the early ship design stage is important in order that costs that are caused by the over- or under-specified functional capabilities do not increase. This paper presents a K-means clustering algorithm for the determination of functional requirements. It uses automatic identification system (AIS) data from a reference ship to determine the representative operational profiles, which can support decision-makers in defining the functional requirements of ships that will be performing similar missions as those of the reference ship. In a case study, we used this method as part of a ship design project, in which the functional requirements of a battery-only electric ship are defined using AIS data from a reference ship. Results indicate that the cost can be reduced by determining the functional requirements using the proposed method.
Databáze: Directory of Open Access Journals