Research on ship route planning based on improved ant colony algorithm

Shengyin Wang; Weifeng Li

doi:10.1117/12.3024832

14 February 2024 Research on ship route planning based on improved ant colony algorithm

Shengyin Wang, Weifeng Li

Proceedings Volume 13018, International Conference on Smart Transportation and City Engineering (STCE 2023); 130181N (2024) https://doi.org/10.1117/12.3024832
Event: International Conference on Smart Transportation and City Engineering (STCE 2023), 2023, Chongqing, China

Abstract

Ship navigation in obstacle environments using traditional manual route plotting methods is not only time-consuming and labor-intensive, but also results in highly inaccurate route drawings. In case of changes in obstacle positions, the entire route needs to be redesigned and redrawn. Additionally, manually plotted route maps are not easily preserved and have limited applicability. In order to overcome the limitations of manual route plotting, a ship route planning method based on an improved ant colony algorithm is proposed. Simulation of the improved ant colony algorithm is conducted to obtain the optimal ship route in obstacle environments.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shengyin Wang and Weifeng Li "Research on ship route planning based on improved ant colony algorithm", Proc. SPIE 13018, International Conference on Smart Transportation and City Engineering (STCE 2023), 130181N (14 February 2024); https://doi.org/10.1117/12.3024832

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