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Performance Evaluation of Maritime Search and Rescue Missions Using Automatic Identification System Data

Published online by Cambridge University Press:  19 May 2020

Fan Zhou ,
Hua Chen  and
Peng Zhang
Fan Zhou*
Affiliation:
(College of Information Engineering, Shanghai Maritime University, Shanghai, PR China)
Hua Chen
Affiliation:
(College of Information Engineering, Shanghai Maritime University, Shanghai, PR China)
Peng Zhang
Affiliation:
(East China Sea Cruise and Law-Enforcement Team of Shanghai Maritime Safety Administration, Maritime Safety Administration of the People's Republic of China)
*
(E-mail: fanzhou_cv@163.com)
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Abstract

In maritime search and rescue (SAR), commanders need to understand the task execution efficiency of each SAR unit in real time to improve the overall efficiency of SAR efforts. This study proposes a method to evaluate the progress of maritime SAR missions using automatic identification system (AIS) data. First, the positioning accuracy of the AIS data was improved according to the relationship between position, speed, and course. Second, the historical track of the SAR ship was used to generate the SAR completion area based on a line buffer algorithm. The SAR completion area and SAR mission area were then superimposed to determine the overall progress of the SAR mission. The proposed method has been deployed within the SAR software on-board Haixun01 (China's largest and most advanced large-scale cruise rescue ship) since 2017 and has played an important role in devising SAR strategies and tracking mission progress, during several SAR actions.

Keywords

Marine Search and RescueAutomatic Identification SystemSpatial PositionEfficiency Evaluation

Information

Type
Research Article
Information
The Journal of Navigation , Volume 73 , Issue 6 , November 2020 , pp. 1237 - 1246
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Copyright
Copyright © The Royal Institute of Navigation 2020

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