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Towards a Model of Regional Vessel Near-miss Collision Risk Assessment for Open Waters based on AIS Data

Published online by Cambridge University Press:  22 May 2019

Weibin Zhang ,
Xinyu Feng ,
Yong Qi ,
Feng Shu ,
Yijin Zhang  and
Yinhai Wang
Weibin Zhang
Affiliation:
(Nanjing University of Science and Technology, School of Electronic and Optical Engineering, Nangjing 210094, China)
Xinyu Feng
Affiliation:
(Nanjing University of Science and Technology, School of Electronic and Optical Engineering, Nangjing 210094, China)
Yong Qi*
Affiliation:
(Nanjing University of Science and Technology, School of Computer Science and Engineering, Nangjing 210094, China)
Feng Shu
Affiliation:
(Nanjing University of Science and Technology, School of Electronic and Optical Engineering, Nangjing 210094, China)
Yijin Zhang
Affiliation:
(Nanjing University of Science and Technology, School of Electronic and Optical Engineering, Nangjing 210094, China)
Yinhai Wang
Affiliation:
(University of Washington, Department of Civil and Environmental Engineering, Smart Transportation Applications and Research Laboratory, 98195 Seattle, Washington, USA)
*
(E-mail: 790815561@qq.com)
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Abstract

The absence of a regional, open water vessel collision risk assessment system endangers maritime traffic and hampers safety management. Most recent studies have analysed the risk of collision for a pair of vessels and propose micro-level risk models. This study proposes a new method that combines density complexity and a multi-vessel collision risk operator for assessing regional vessel collision risk. This regional model considers spatial and temporal features of vessel trajectory in an open water area and assesses multi-vessel near-miss collision risk through danger probabilities and possible consequences of collision risks via four types of possible relative striking positions. Finally, the clustering method of multi-vessel encountering risk, based on the proposed model, is used to identify high-risk collision areas, which allow reliable and accurate analysis to aid implementation of safety measures.

Keywords

Multi-vessel collision riskDensity complexityAIS dataRegional risk assessmentMaritime traffic safety

Information

Type
Research Article
Information
The Journal of Navigation , Volume 72 , Issue 6 , November 2019 , pp. 1449 - 1468
Copyright
Copyright © The Royal Institute of Navigation 2019 

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