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Publications
Song, Z.F., Zhang, J.F., Wan, CP. and Guedes Soares, C. (2025), A data-driven method for ship route planning under dynamic environments, Journal of Marine Science and Engineering, Vol. 13(10), 1901.
This paper proposes an A* Algorithm based on historical AIS data in a dynamic marine Environment algorithm for the multi-objective optimisation of ship routes, explicitly focusing on optimising voyage distance, economic costs, and emission costs within Sulfur Emission Control Areas. The method utilises trajectory interpolation, Ordering Points to Identify the Clustering Structure, and the Douglas-Peucker algorithm to pre-process AIS data, thereby enhancing the flexibility and accuracy of multi-objective path planning. The method incorporates the time dimension and cost weights to optimise different objective costs dynamically. The method also optimises the route in real-time by treating ship power as a decision variable, adjusting the power according to different task requirements. The proposed method is compared with other commonly used path planning algorithms within a specific maritime area. The results show that it offers better adaptability in terms of multi-objective costs and timeliness.
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