Qualitative and Quantitative Analysis of Congested Marine Traffic Environment – An Application Using Marine Traffic Simulation System
Difficulty of sailing is a subjective matter that depends on various factors. Using the Marine Traffic Simulation System (MTSS) developed by Osaka University, this challenging subject is discussed. With this system, realistic traffic flow, including collision avoidance manoeuvres, can be reproduced in a given area. Simulation is done for southward of Tokyo Bay, Strait of Singapore and off-Shanghai area, changing traffic volume from 5 or 50 to 150 or 200% of the present volume. The results found a strong proportional relationship between near-miss ratio and traffic density per hour per sailed area, independent of traffic volume, area size and configuration. The quantitative evaluation index of the difficulty of sailing, here called risk rate of the area, is described using defined traffic density and near-miss ratio.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/20836473
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Supplemental Notes:
- © 2013 K. Hasegawa and M. Yamazaki
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Authors:
- Hasegawa, Kazuhiko
- Yamazaki, Masahiro
- Publication Date: 2013-6
Language
- English
Media Info
- Media Type: Print
- Features: Figures; References; Tables;
- Pagination: pp 179-184
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Serial:
- TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation
- Volume: 7
- Issue Number: 2
- Publisher: Akademia Morska w Gdyni
- ISSN: 2083-6473
- EISSN: 2083-6481
- Serial URL: http://www.transnav.eu/
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Sailing ships; Simulation; Traffic congestion; Traffic flow; Traffic volume; Water transportation
- Geographic Terms: Shanghai (China); Strait of Singapore; Tokyo Bay
- Subject Areas: Marine Transportation; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01496856
- Record Type: Publication
- Files: TRIS
- Created Date: Sep 26 2013 1:16PM