文章基本信息

标题：A STUDY FOR DEVELOPMENT OF ROUTE PREDICTION METHOD FOR VESSEL USING SVR
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作者：Kotetsu KAWAKAMI ; Jumpei MATSUE ; Ryota ISOZAKI 等
期刊名称：International Journal of New Computer Architectures and their Applications
印刷版ISSN：2220-9085
出版年度：2020
卷号：10
期号：1
页码：1-9
DOI：10.17781/P002648 Abstract:
语种：English
出版社：Society of Digital Information and Wireless Communications
摘要：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.