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Benshuai Li
College of Geomatics, Shandong University of Science and Technology, Qianwangang Road, Huangdao Zone, Qingdao 266590, China

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Journal article
Published: 08 April 2019 in Sustainability
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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.

ACS Style

Donatien Agbissoh Otote; Benshuai Li; Bo Ai; Song Gao; Jing Xu; Xiaoying Chen; Guannan Lv. A Decision-Making Algorithm for Maritime Search and Rescue Plan. Sustainability 2019, 11, 2084 .

AMA Style

Donatien Agbissoh Otote, Benshuai Li, Bo Ai, Song Gao, Jing Xu, Xiaoying Chen, Guannan Lv. A Decision-Making Algorithm for Maritime Search and Rescue Plan. Sustainability. 2019; 11 (7):2084.

Chicago/Turabian Style

Donatien Agbissoh Otote; Benshuai Li; Bo Ai; Song Gao; Jing Xu; Xiaoying Chen; Guannan Lv. 2019. "A Decision-Making Algorithm for Maritime Search and Rescue Plan." Sustainability 11, no. 7: 2084.