本篇論文利用船舶自動識別系統(automatic identification system, AIS)的船舶動態資料設計出一個即時計算模糊風險的船隻避碰系統。此系統以C#程式撰寫並整合船舶自動識別系統、資料庫伺服器以及Google Map等軟硬體設備。模糊風險的計算倚靠船舶自動識別系統收取到的船舶資訊，船舶資料包含對地速度(speed over ground, SOG)、對地角度(course over ground, COG)、船隻經緯度座標和海上移動通訊業務標示(Maritime Mobile Service Identity, MMSI)。這些資料可算出兩艘船隻的相對速度、距離、到達最近距離點所需要的時間(time closest point of approach, TCPA)與最近點的距離(distance closest point of approach, DCPA)。兩艘船隻的相對速度、距離、到達最近距離點所需要的時間與最近點的距離作為模糊風險計算器的輸入的模糊語意變數(input linguistic variables)，經計算後得到碰撞風險的輸出模糊語意詞(output linguistic variables)。整合以上所言可開發出一套於基地台管理端即時監控船隻並計算其碰撞風險圖形使用者介面(graphical user interface, GUI)的系統。

Because of the high density of sea transportation in Taiwan, an effective solution for improving the navigational safety is always necessary. In this thesis, a collision avoidance system is proposed and practically realized by integrating output message of automatic identification system (AIS) and fuzzy-based risk evaluator. This calculated messages from AIS include: 1. Relative speed of any two vessels in the monitoring open sea; 2. Distance of any two vessels; 3. Time closest point of approach (TCPA) and 4. Distance closest point of approach (DCPA). These four candidate messages extracted from AIS will be used as the inputs of the fuzzy-based risk evaluator and a fuzzy inference will make an expert decision for a selected condition. This proposed system is programmed via using the famous software language C#, and a graphic user interface (GUI) which can real-time show the current positions of monitoring vessels on google map is also built up.
By comparing this proposed collision avoidance system with the existing results, this system possesses the low cost feature and the inference result can be used as reliable guidance to avoid the collision of vessels.

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