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: | 10.1017/s0373463307003980 |
Appears in Collections: | 商船學系 |
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