Collision Risk Assessment Based on Behaviour Analysis of Collision Avoidance Manoeuvre Using AIS Data
AISデータを用いた避航操船の行動分析に基づく衝突危険度評価
Developments of autonomous ships are progressed in the world and algorithms for automatic collision avoidance or its decision support are widely required. Following factors are essential for the algorithm such as, selection of a target ship to avoid collision risks; determination of a start time of collision avoidance maneuver; and determination of a way to avoid the target ship. Authors analyzed collision avoidance cases of a coastal sea area, which are extracted from an AIS database. The four moments during the collision avoidance maneuver, e.g. start time of collision avoidance, is identified with the AIS database. Then, conditions of a give-way and a stand-on ships at the moments are analyzed by behavior analysis. In this paper, the conditions at the start time of collision avoidance maneuver is focused. As the result, it is found that the condition at the start time is expressed by a simple equation composed of two parameters: the distance to the give-way and the stand-on ships; and the rate of change in relative bearing to the stand-on ship. Additionally, an assessment diagram to evaluate the collision risk is developed.
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- Summary URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/03887405
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Authors:
- Miyake, Rina
- Hasegawa, Kazuhiko
- Fukuto, Junji
- Publication Date: 2016
Language
- English
- Japanese
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 43-52
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Serial:
- The Journal of Japan Institute of Navigation
- Volume: 135
- Issue Number: 0
- Publisher: Japan Institute of Navigation
- ISSN: 0388-7405
- EISSN: 2187-3275
- Serial URL: https://www.jstage.jst.go.jp/browse/jin/-char/en
Subject/Index Terms
- TRT Terms: Autonomous vehicle guidance; Coasts; Crash avoidance systems; Maneuvering; Mathematical models; Risk assessment; Ships; Yielding
- Subject Areas: Marine Transportation; Operations and Traffic Management; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01630432
- Record Type: Publication
- Source Agency: Japan Science and Technology Agency (JST)
- Files: TRIS, JSTAGE
- Created Date: Mar 27 2017 9:37AM