Identification of ship navigation risk areas and route optimization under complex weather conditions

Yongjuan Bai; Zhiwu Hu

doi:10.1117/12.3023948

9 April 2024 Identification of ship navigation risk areas and route optimization under complex weather conditions

Yongjuan Bai, Zhiwu Hu

Proceedings Volume 12989, Third International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2023); 129890J (2024) https://doi.org/10.1117/12.3023948
Event: Third International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2023), 2023, Xi'an, China

Abstract

Complex weather conditions have a significant impact on the safety of ship navigation, and there is currently a lack of effective means to assess the risks to ship stability caused by complex weather. Research on route planning can only simply avoid strong winds and obstacles, and cannot timely and effectively identify navigation risk areas caused by complex weather conditions. In response to the problem of identifying high-risk areas in complex weather conditions, this paper analyzes the factors that affect navigation safety and establishes a navigation risk area model with wind and waves, pitch and heave as constraint conditions. By setting navigation risk as the objective function and using the genetic algorithm to solve it, the optimal route is obtained. The experimental results show that the optimization model proposed in this paper can effectively avoid high-risk sea conditions and prevent pitch or heave from occurring, which is of great significance for improving ship navigation safety.

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

Citation Download Citation

Yongjuan Bai and Zhiwu Hu "Identification of ship navigation risk areas and route optimization under complex weather conditions", Proc. SPIE 12989, Third International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2023), 129890J (9 April 2024); https://doi.org/10.1117/12.3023948

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