In order to improve the two-dimensional path planning and dynamic obstacle avoidance capabilities of emergency evacuation in the South China Sea, the emergency evacuation path planning in the exploration area of offshore platforms was carried out. According to the current distribution of islands in a certain area of the ocean, combined with the factors such as offshore islands, reefs, and reef depths, the regional environmental model of floating wharf is constructed, and the structure of the genetic algorithm is optimized by distinguishing the obstacle area and the free navigation area, and the optimal navigation route is searched based on the improved ant colony algorithm, the actual island parameters are selected, and the case planning is carried out based on the ant colony algorithm. After 100 iterations, the ship path fluctuated from the initial 40 times to the final stable 27 times, which shows that the algorithm found the shortest path, calculated the simulation distance, and planned the shortest path, which provides a reference for ship evacuation and material transportation.


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    Title :

    Research on the Emergency Evacuation Route in the Far Sea Based on Ant Colony Algorithm


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Jia, Limin (editor) / Easa, Said (editor) / Qin, Yong (editor) / Han, Yulong (author) / Lin, Zheng (author) / Zhang, Ruiyi (author) / Zheng, Wenpei (author) / Zhang, Yaru (author)

    Conference:

    International Conference on SmartRail, Traffic and Transportation Engineering ; 2023 ; Changsha, China July 28, 2023 - July 30, 2023



    Publication date :

    2024-08-14


    Size :

    9 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





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