Ship steering collision avoidance decision based on MOEA/D algorithm

Jichi Yan; Jinshan Zhu; Le Wang; XiaoBo Zhang

doi:10.1117/12.2619730

22 December 2021 Ship steering collision avoidance decision based on MOEA/D algorithm

Jichi Yan, Jinshan Zhu, Le Wang, XiaoBo Zhang

Proceedings Volume 12058, Fifth International Conference on Traffic Engineering and Transportation System (ICTETS 2021); 1205861 (2021) https://doi.org/10.1117/12.2619730
Event: 5th International Conference on Traffic Engineering and Transportation System (ICTETS 2021), 2021, Chongqing, China

Abstract

In order to improve the effectiveness of intelligent collision avoidance decision of ships, a collision avoidance decision model is established with the objective of guaranteeing the safety of ship navigation and reducing the loss of voyage, taking real-time data as the input quantity and the requirements of international maritime collision avoidance rules and the common practice of seafarers as the constraints, and MOEA/D (Multi-objective Evolutionary Algorithm Based on Decomposition) algorithm is used to optimize the objective function and calculate the optimal steering angle and steering timing. The simulation results show that the decision can meet the safety and economic requirements of ship collision avoidance under different encounter situations and can provide some reference for ship collision avoidance decision.

Citation Download Citation

Jichi Yan, Jinshan Zhu, Le Wang, and XiaoBo Zhang "Ship steering collision avoidance decision based on MOEA/D algorithm", Proc. SPIE 12058, Fifth International Conference on Traffic Engineering and Transportation System (ICTETS 2021), 1205861 (22 December 2021); https://doi.org/10.1117/12.2619730

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available