CrossRef Open Access 2022 26 sitasi

Intelligent Collision Avoidance Method for Ships Based on COLRGEs and Improved Velocity Obstacle Algorithm

Xingya Zhao Yixiong He Liwen Huang Junmin Mou Ke Zhang +1 lainnya

Abstrak

Collision prevention is critical for navigational safety at sea, which has developed rapidly in the past decade and attracted a lot of attention. In this article, an improved velocity obstacle (IVO) algorithm for intelligent collision avoidance of ocean-going ships is proposed in various operating conditions, taking into count both a ship’s manoeuvrability and Convention on the International Regulations for Preventing Collisions at Sea (COLREGs). An integrated model combines a three-degree-of-freedom manoeuvring model with ship propeller characteristics to provide a precise prediction of ships in various manoeuvring circumstances. In the given case, what is different to present studies, this improved algorithm allows for decision-making in two ways: altering course and changing speed. The proposed technique is demonstrated in a variety of scenarios through simulation. The findings reveal that collision-avoidance decision-making can intelligently avoid collisions with the target ships (TSs) in multi-ship situations.

Penulis (6)

X

Xingya Zhao

Y

Yixiong He

L

Liwen Huang

J

Junmin Mou

K

Ke Zhang

X

Xiao Liu

Format Sitasi

Zhao, X., He, Y., Huang, L., Mou, J., Zhang, K., Liu, X. (2022). Intelligent Collision Avoidance Method for Ships Based on COLRGEs and Improved Velocity Obstacle Algorithm. https://doi.org/10.3390/app12188926

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Lihat di Sumber doi.org/10.3390/app12188926
Informasi Jurnal
Tahun Terbit
2022
Bahasa
en
Total Sitasi
26×
Sumber Database
CrossRef
DOI
10.3390/app12188926
Akses
Open Access ✓