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

Issue Number: Vol. 10, No. 1
Year of Publication: March - 2020
Page Numbers: 1-9
Authors: Kotetsu KAWAKAMI, Jumpei MATSUE, Ryota ISOZAKI, Shunsuke INADA, Masashi SUGIMOTO, Shinji TSUZUKI, Kazuhiko NAGAO
Journal Name: International Journal of New Computer Architectures and their Applications (IJNCAA)
- Hong Kong
DOI:  http://dx.doi.org/10.17781/P002648


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.