Characterization of ship traffic flow by Principal Component Analysis of AIS data and its application to ship traffic simulation for evaluation of encounter probability
AISデータの主成分分析による海上交通流の特徴抽出とそれに基づく遭遇確率評価シミュレーション
In order to develop safe navigation environment, it is important to know the characteristics of ship traffic flow. Although there are some correlations between parameters of ship traffic data such as position, velocity, and ship size, they have been dealt individually in sea traffic simulation in past researches. To carry out more realistic ship traffic simulation, it might be necessary to generate ship traffic data taking into account the correlations. In this study, authors developed a method of characterization and generation of ship traffic flow by using Principal Component Analysis. By applying the method to AIS data in the Kanmon Passage, the trend of the generated ship traffic data which is same as characteristics of AIS data was shown. Authors also developed a method of simulation of evaluating encounter probability between ships. Encounter conditions of ships with collision risks could be extracted, so that the encounter probability could be calculated. To show the validity of the method, the computed probability was compared to an existing estimated collision probability.
- Record URL:
- Summary URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/18803717
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Authors:
- Kawashima, Sonoko
- Kawamura, Yasumi
- Itoh, Hiroko
- FUKUTO, Junji
- Publication Date: 2016
Language
- English
- Japanese
Media Info
- Media Type: Digital/other
- Features: Figures; Maps; References; Tables;
- Pagination: pp 55-63
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Serial:
- Journal of the Japan Society of Naval Architects and Ocean Engineers
- Volume: 23
- Issue Number: 0
- Publisher: Japan Society of Naval Architects and Ocean Engineers
- ISSN: 1880-3717
- EISSN: 1881-1760
- Serial URL: https://www.jstage.jst.go.jp/browse/jjasnaoe/-char/en
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Analysis; Identification systems; Probability; Ships; Traffic data; Traffic flow; Traffic simulation; Water traffic; Water transportation crashes
- Identifier Terms: Principal Component Analysis
- Geographic Terms: Kanmon Passage
- Subject Areas: Data and Information Technology; Marine Transportation; Safety and Human Factors;
Filing Info
- Accession Number: 01614934
- Record Type: Publication
- Source Agency: Japan Science and Technology Agency (JST)
- Files: TRIS, JSTAGE
- Created Date: Oct 25 2016 2:05PM