[Purposes] With the continuous advancement of artificial intelligence technology, intelligent typhoon avoidance route planning is gradually replacing traditional methods, offering vessels safer, more economical, and efficient typhoon avoidance routes. To address the risks and navigation efficiency challenges vessels face during typhoon encounters and enhance the intelligence of typhoon avoidance decision-making, this paper proposes a comprehensive intelligent typhoon avoidance decision model for