标题:A Decision-Making Algorithm for Maritime Search and Rescue Plan
作者:Otote, Donatien Agbissoh; Li, Benshuai; Ai, Bo; Gao, Song; Xu, Jing; Chen, Xiaoying; Lv, Guannan
作者机构:[Otote, Donatien Agbissoh; Li, Benshuai; Ai, Bo; Xu, Jing; Lv, Guannan] Shandong Univ Sci & Technol, Coll Geomat, Qianwangang Rd, Qingdao 266590, Shan 更多
通讯作者:Ai, B
通讯作者地址:[Ai, B]Shandong Univ Sci & Technol, Coll Geomat, Qianwangang Rd, Qingdao 266590, Shandong, Peoples R China.
来源:SUSTAINABILITY
出版年:2019
卷:11
期:7
DOI:10.3390/su11072084
关键词:ratio of density (r); POC; POD; POS; density of containment (dc);; overall density (dg)
摘要:With the development of the maritime economy, sea traffic is becoming more and more crowded, and sea accidents are also increasing. Research on maritime search and rescue decision-making technology cannot be delayed. This paper studies the maritime search and rescue decision algorithm, based on the optimal search theory. It also analyzes three important concepts: Probability of containment (POC), probability of detection (POD), and probability of success (POS) involved in the maritime search and rescue decision-making process. In this paper, the calculation methods of POC and POD variables have been improved, and the search success rate has been improved to some extent. Finally, an example analysis of the maritime search and rescue incident is given. Through verification, the algorithm proposed in this paper can support maritime search and rescue decisions.
收录类别:SCIE;SSCI
资源类型:期刊论文
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