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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/25770

Title: A Fuzzy Logic Method for Collision Avoidance in Vessel Traffic Service
Authors: Sheng-Long Kao;Kuo-Tien Lee;Ki-Yin Chang;Min-Der Ko
Contributors: NTOU:Department of Merchant Marine
國立臺灣海洋大學:商船學系
Keywords: Collision avoidance;VTS;MGIS;AIS
Date: 2007-01
Issue Date: 2011-10-20T08:32:23Z
Publisher: The Journal of Navigation
Abstract: 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)+M2 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.
Relation: 60(1), pp.17-31
URI: http://ntour.ntou.edu.tw/handle/987654321/25770
Appears in Collections:[環境生物與漁業科學學系] 期刊論文
[商船學系] 期刊論文

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