Vessel route optimization based on weather conditions

Abstract

Vessel route optimization based on weather conditions presents a novel approach to enhancing maritime transportation efficiency and safety. This thesis explores the integration of weather forecasting data with route planning algorithms, specifically the A* search algorithm, to determine the optimal route for a vessel considering prevailing weather conditions. By factoring in elements like current direction and current speed, the optimized route aims to minimize travel time, fuel consumption, and operational stress on the vessel. This research focuses on evaluating the suitability of the A* search algorithm and other optimization techniques for weather-dependent route planning. Beyond selecting the optimal algorithm, the thesis investigates the challenges posed by weather forecast uncertainties and their impact on the optimal route selection process. In this context, various weather scenarios and their effects on vessel routes are analyzed, providing valuable insights for the maritime industry. The combined use of weather forecasting technologies and advanced route planning algorithms highlights the potential for optimizing maritime transportation, offering a new tool for enhancing the efficiency and safety of shipping operations. The thesis concludes that integrating weather data into route planning can provide significant benefits, despite the challenges arising from the uncertainties in weather forecasts.