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  1. National Taiwan Ocean University Research Hub
  2. 海運暨管理學院
  3. 商船學系
Please use this identifier to cite or link to this item: http://scholars.ntou.edu.tw/handle/123456789/11851
Title: A fuzzy logic method for collision avoidance in Vessel Traffic Service
Authors: Sheng-Long Kao 
Lee, K. T.
Ki-Yin Chang 
Min-Der Ko 
Keywords: Collision avoidance;VTS;MGIS;AIS
Issue Date: Jan-2007
Publisher: Cambridge University Press
Journal Volume: 60
Journal Issue: 1
Start page/Pages: 17 - 31
Source: Journal of Navigation
Abstract: 
Currently Vessel Traffic Service (VTS) does not have enough technical capability to monitor a crowded surveillance area to maintain safety. Without an efficient alerting system, many marine accidents have occurred due to operator oversight. In this article, a new fuzzy logic method is proposed to add vessel collision avoidance capability to VTS/AIS systems for all potential collision ships in the surveillance area. Starting from the VTS standpoint and integrating AIS data into the Marine Geographic Information System (MGIS) as a platform, the calculations of ship domain and ship inertial force are utilized to generate models of a guarding ring and danger index. By this means, a precise prediction of collision time and position can be achieved using a marine GIS spatial analyst module. The proposed method is able to enhance the VTS operator's decision-making abilities by providing a collision avoidance alerting system.
URI: http://scholars.ntou.edu.tw/handle/123456789/11851
ISSN: 0373-4633
DOI: ://WOS:000244016700003
://WOS:000244016700003
://WOS:000244016700003
://WOS:000244016700003
://WOS:000244016700003
://WOS:000244016700003
10.1017/s0373463307003980
://WOS:000244016700003
://WOS:000244016700003
Appears in Collections:商船學系

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