日本航海学会論文集
Online ISSN : 2187-3275
Print ISSN : 0388-7405
ISSN-L : 0388-7405
東京湾海上交通流ネットワークを利用した船舶動静の予測に関する基礎研究
白井 友子久保 信明稲田 健二田丸 人意
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ジャーナル フリー

2016 年 135 巻 p. 108-114

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Various information for the vessel traffic management is provided by AIS (Automatic Identification System). Besides dynamic information such as the position etc. the necessary information like destinations and type of ship is included in AIS information. We may improve safety of the vessel traffic at the congested waters by using these information effectively. Therefore, in this study, we decided to think about a system of management using AIS information for the ships which navigated at Tokyo bay.
The distance from the entrance of Tokyo Bay to the inner part of bay is approximately 70km. There are the established routes in Tokyo Bay for ensuring safety of the traffic flow. The management of the traffic and the limit of the navigation waters are operated by VTS (Vessel Traffic Service). Therefore Tokyo Bay is a very large waters, but the navigation route of especially the big ship is almost decided. We established nodes and rinks from the navigation area and we selected the routes from the departure place to the destination. In addition, we standardized the navigation route of the ship based on past AIS data and compared the estimated route with the real route. It was inspected whether we could cope with the prediction of the ship trend. In practice although there is a problem, it is thought that it is effective for future systems construction.

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この記事はクリエイティブ・コモンズ [表示 - 非営利 - 改変禁止 4.0 国際]ライセンスの下に提供されています。
https://creativecommons.org/licenses/by-nc-nd/4.0/deed.ja
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