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Ship Typhoon Avoidance Route Planning Method Under Uncertain Typhoon Forecasts
by
Guo, Junhong
, Zhang, Jinfeng
, He, Zhengwei
, Ma, Weihao
in
Algorithms
/ Ant colony optimization
/ Avoidance
/ Case studies
/ Energy consumption
/ Methods
/ Multiple objective analysis
/ Navigation
/ Optimization algorithms
/ Optimization models
/ Planning
/ Route optimization
/ Route planning
/ Sea vessels
/ ship route optimization
/ Shipping industry
/ typhoon avoidance
/ Typhoons
/ uncertainty typhoon forecast
/ Weather
/ Wind
2025
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Ship Typhoon Avoidance Route Planning Method Under Uncertain Typhoon Forecasts
by
Guo, Junhong
, Zhang, Jinfeng
, He, Zhengwei
, Ma, Weihao
in
Algorithms
/ Ant colony optimization
/ Avoidance
/ Case studies
/ Energy consumption
/ Methods
/ Multiple objective analysis
/ Navigation
/ Optimization algorithms
/ Optimization models
/ Planning
/ Route optimization
/ Route planning
/ Sea vessels
/ ship route optimization
/ Shipping industry
/ typhoon avoidance
/ Typhoons
/ uncertainty typhoon forecast
/ Weather
/ Wind
2025
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Ship Typhoon Avoidance Route Planning Method Under Uncertain Typhoon Forecasts
by
Guo, Junhong
, Zhang, Jinfeng
, He, Zhengwei
, Ma, Weihao
in
Algorithms
/ Ant colony optimization
/ Avoidance
/ Case studies
/ Energy consumption
/ Methods
/ Multiple objective analysis
/ Navigation
/ Optimization algorithms
/ Optimization models
/ Planning
/ Route optimization
/ Route planning
/ Sea vessels
/ ship route optimization
/ Shipping industry
/ typhoon avoidance
/ Typhoons
/ uncertainty typhoon forecast
/ Weather
/ Wind
2025
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Ship Typhoon Avoidance Route Planning Method Under Uncertain Typhoon Forecasts
Journal Article
Ship Typhoon Avoidance Route Planning Method Under Uncertain Typhoon Forecasts
2025
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Overview
Formulating effective typhoon avoidance routes is crucial for ensuring the safe navigation of ocean-going vessels. From a maritime safety perspective, this paper investigates ship route optimization under typhoon forecast uncertainty. Initially, the study calculates the probability of a ship encountering a typhoon based on the distribution of historical typhoon data within the radius of seven-level winds and the distance between the ship and the typhoon. Subsequently, the minimum safe distance is quantified, and a multi-objective ship route optimization model for typhoon avoidance is established. A three-dimensional multi-objective ant colony algorithm is designed to solve this model. Finally, a typhoon avoidance simulation experiment is conducted using Typhoon TAMRI and a classic route in the South China Sea as a case study. The experimental results demonstrate that under adverse conditions of uncertain typhoon forecasts, the proposed multi-objective typhoon avoidance route optimization model can effectively avoid high wind and wave areas of the typhoon while balancing and optimizing multiple navigation indicators. This model can serve as a reference for shipping companies in formulating typhoon avoidance strategies.
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