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Automatic identification system data-driven model for analysis of ship domain near bridge-waters

Published online by Cambridge University Press:  18 June 2021

Lei Jinyu ,
Liu Lei ,
Chu Xiumin ,
He Wei ,
Liu Xinglong  and
Liu Cong
Lei Jinyu
Affiliation:
National Engineering Research Center for Water Transport Safety, Wuhan University of Technology, Wuhan, China Fujian Engineering Research Center of Safety Control for Ship Intelligent Navigation, Minjiang University, Fuzhou, China
Liu Lei*
Affiliation:
School of Transportation, Southeast University, Nanjing, China
Chu Xiumin
Affiliation:
National Engineering Research Center for Water Transport Safety, Wuhan University of Technology, Wuhan, China Fujian Engineering Research Center of Safety Control for Ship Intelligent Navigation, Minjiang University, Fuzhou, China
He Wei
Affiliation:
National Engineering Research Center for Water Transport Safety, Wuhan University of Technology, Wuhan, China Fujian Engineering Research Center of Safety Control for Ship Intelligent Navigation, Minjiang University, Fuzhou, China
Liu Xinglong
Affiliation:
National Engineering Research Center for Water Transport Safety, Wuhan University of Technology, Wuhan, China Fujian Engineering Research Center of Safety Control for Ship Intelligent Navigation, Minjiang University, Fuzhou, China
Liu Cong
Affiliation:
Department of Mechanical Engineering, Aalto University, Espoo, Finland
*
*Corresponding author. E-mail: lei1992@seu.edu.cn
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Abstract

The ship safety domain plays a significant role in collision risk assessment. However, few studies take the practical considerations of implementing this method in the vicinity of bridge-waters into account. Therefore, historical automatic identification system data is utilised to construct and analyse ship domains considering ship–ship and ship–bridge collisions. A method for determining the closest boundary is proposed, and the boundary of the ship domain is fitted by the least squares method. The ship domains near bridge-waters are constructed as ellipse models, the characteristics of which are discussed. Novel fuzzy quaternion ship domain models are established respectively for inland ships and bridge piers, which would assist in the construction of a risk quantification model and the calculation of a grid ship collision index. A case study is carried out on the multi-bridge waterway of the Yangtze River in Wuhan, China. The results show that the size of the ship domain is highly correlated with the ship's speed and length, and analysis of collision risk can reflect the real situation near bridge-waters, which is helpful to demonstrate the application of the ship domain in quantifying the collision risk and to characterise the collision risk distribution near bridge-waters.

Keywords

ship domainautomatic identification systembridge-watersship collision

Information

Type
Research Article
Information
The Journal of Navigation , Volume 74 , Issue 6 , November 2021 , pp. 1284 - 1304
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Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of The Royal Institute of Navigation

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