Rule-based multi-vessel collision avoidance models

Peijie Zheng; Jinshan Zhu; Zhichao Xia

doi:10.1117/12.3024171

14 February 2024 Rule-based multi-vessel collision avoidance models

Peijie Zheng, Jinshan Zhu, Zhichao Xia

Proceedings Volume 13018, International Conference on Smart Transportation and City Engineering (STCE 2023); 1301842 (2024) https://doi.org/10.1117/12.3024171
Event: International Conference on Smart Transportation and City Engineering (STCE 2023), 2023, Chongqing, China

Abstract

According to data from the Maritime Administration, the majority of collisions at sea are caused by human error and failure to comply with the International Regulations for Preventing Collisions at Sea (COLREGs). To this end, an algorithm is designed to make collision avoidance decisions among multiple vessels according to COLREGs. On the premise of fully complying with the International Regulations for Collision Avoidance at Sea and seafarers' common practice, the algorithm constructs a decision-making model for collision avoidance actions during multi-ship encounters by using the true-motion graphing model and the collision avoidance method of the key ship according to the principle of analytical geometry. The results show that the algorithm can quickly determine the avoidance relationship between ships and solve the avoidance action amplitude and timing according to the requirements of the Rules and seafarers' common practice, which realizes the unity of the avoidance decision and action, and verifies that the algorithm proposed in this paper has the features of fast operation speed and good robustness.

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

Citation Download Citation

Peijie Zheng, Jinshan Zhu, and Zhichao Xia "Rule-based multi-vessel collision avoidance models", Proc. SPIE 13018, International Conference on Smart Transportation and City Engineering (STCE 2023), 1301842 (14 February 2024); https://doi.org/10.1117/12.3024171

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