A Study for Development of Route Prediction Method for Vessel using SVR

Nowadays, vessels such as cargo vessels, ferries, and fishing boats are constantly coming and going on all over the sea. On the other hands, unfortunately, collisions among vessels account for about one-quarter of the total accidents. In this paper, small boats such as fishing boats and pleasure boa...

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Bibliographic Details
Published inInternational journal of new computer architectures and their applications Vol. 10; no. 1; pp. 1 - 9
Main Authors Kawakami, Kotetsu, Inada, Shunsuke, atsue, Jumpei, Sugimoto, Masashi, Nagao, Kazuhiko, Isozaki, Ryota, Tsuzuki, Shinji
Format Journal Article
LanguageEnglish
Published The Society of Digital Information and Wireless Communications 01.01.2020
Subjects
Analysis
Equipment and supplies
Ferry services
Global Positioning System
Machine learning
Methods
Japan
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Summary:Nowadays, vessels such as cargo vessels, ferries, and fishing boats are constantly coming and going on all over the sea. On the other hands, unfortunately, collisions among vessels account for about one-quarter of the total accidents. In this paper, small boats such as fishing boats and pleasure boats that is not required to mount Automatic Identification System (AIS) has been focused on. In detail, a module for LoRa (Long Range) wireless, which is one of the LPWAN (Low Power, Wide Area Network) standards, and a GPS module are mounted on a small vessel. Moreover, machine learning is used to determine by predicting the navigation route, a system to avoid collisions between ships has been considered.
ISSN:2220-9085
2220-9085
DOI:10.17781/P002648