Vessel Route Clustering in the Information and Telecommunication System of the Maritime Border Guard

Autor: Mykhailo Strelbitskyi, Andrii Karpushyn, Valentyn Mazur
Rok vydání: 2019
Předmět:
Zdroj: 2019 IEEE International Conference on Advanced Trends in Information Theory (ATIT).
DOI: 10.1109/atit49449.2019.9030468
Popis: The article solves the problem of data classification concerning the routes of vessel traffic in the marine surface monitoring system. For the purpose of this classification, it is proposed to use clustering, the method developed within the framework of this study. The peculiarity of the method is to take into account the specifics of presenting data on the routes of vessel traffic in the information and telecommunication system of the marine security. This specificity is considered in the routing metric and features of the route clusters formation as well as their centers localization. Such data analysis in the marine surface monitoring system will allow the problem of risk assessment to get solved by detecting spatial anomalies in the routes of vessel traffic.
Databáze: OpenAIRE