為了提高船舶的效率和安全性，本研究結合三維等時間曲線法 (3DMI) 和粒子群演算法 (PSO) 應用在船舶氣候導航系統上。該系統由四個模組所建構而成，分別為船體運動模組、海洋環境模組、航法模組以及路徑演算模組。透過環境模組所建立的海氣象預測數據資料庫去模擬大圈航法 (GC sailing) 和洋流航法 (OC sailing) 的船體運動以及性能，並逐步加入風和浪的環境考量和安全因子考量，去分析比較自願性失速和非自願性失速的差異。
透過以油耗為目標函數的模擬結果得知，洋流航法和大圈航法相較之下，洋流航法藉由洋流特性更容易搜索到省油的航線軌跡，並且在環境因子和安全條件的影響下，航行時採用主機於轉速固定的情況，容易搜索到低阻力的航向，進而達到省油的效果。

In order to enhance the efficiency and safety of outgoing ships, this study proposes a ship weather routing system that combines the Three-Dimensional Modified Isochrone Method (3DMI) with the Particle Swarm Optimizing (PSO) method. The system is essentially constructed with four modules, including a ship-motion module, an ocean-environmental module, a navigation module, and a routing-optimization module. By means of data obtained from the weather forecasting database, the 6-DOF motion responses of a ship as well as the efficiency performance can be simulated dynamically. All the candidate routes for different purposes are determined according to two ref-erence sailings, i.e. the Great Circle (GC) sailing and the Ocean-Current (OC) sailing, respectively. Through analyzing the voluntary and involuntary speed loss of voyages, different ship trajectories as well as performances are presented in our system. Even-tually, the costs related to sailing distances, passage time, and fuel consumption are discussed in this study.

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