|Table of Contents|

Citation:
　Jingyu Yu,Qingyu Shi,Wei Lin,et al.Path Planning for Emergency Response and Rescue Vessels in Inland Rivers by Improved Artificial Potential Field Algorithms[J].Journal of Marine Science and Application,2025,(6):1291-1303.[doi:10.1007/s11804-025-00623-6]
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Path Planning for Emergency Response and Rescue Vessels in Inland Rivers by Improved Artificial Potential Field Algorithms

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Title:
Path Planning for Emergency Response and Rescue Vessels in Inland Rivers by Improved Artificial Potential Field Algorithms
Author(s):
Jingyu Yu1; 2; 3;  Qingyu Shi1;  Wei Lin4;  Jingfeng Wang1; 2; 3;  Yuxue Pu1; 2; 3
Affilations:
Author(s):
Jingyu Yu1; 2; 3;  Qingyu Shi1;  Wei Lin4;  Jingfeng Wang1; 2; 3;  Yuxue Pu1; 2; 3
1. College of Civil Engineering, Hefei University of Technology, Hefei, 230009, China;
2. Engineering Research Center of Low-carbon Technology and Equipment for Cement-based Materials, Ministry of Education, Hefei University of Technology, Hefei, 230009, China;
3. Anhui Key Laboratory of Civil Engineering Structures and Materials, Hefei University of Technology, Hefei, 230009, China;
4. Anhui Tendering Group, Hefei, 230051, China
Keywords:
Emergency response and rescue vessels (ERRVs); Artificial potential field (APF) algorithm; Path planning; Emergency management; Inland rivers
分类号:
-
DOI:
10.1007/s11804-025-00623-6
Abstract:
Frequent flood disasters caused by climate change may lead to tremendous economic and human losses along inland waterways. Emergency response and rescue vessels (ERRVs) play an essential role in minimizing losses and protecting lives and property. However, the path planning of ERRVs has mainly depended on expert experiences instead of rational decision making. This paper proposes an improved artificial potential field (APF) algorithm to optimize the shortest path for ERRVs in the rescue process. To verify the feasibility of the proposed model, eight tests were carried out in two water areas of the Yangtze River. The results showed that the improved APF algorithm was efficient with fewer iterations and that the response time of path planning was reduced to around eight seconds. The improved APF algorithm performed better in the ERRV’s goal achievement, compared with the traditional algorithm. The path planning method for ERRVs proposed in this paper has theoretical and practical value in flood relief. It can be applied in the emergency management of ERRVs to accelerate flood management efficiency and improve capacity to prevent, mitigate, and relieve flood disasters.

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Memo

Memo:
Received date:2024-8-6;Accepted date:2025-1-26。<br>Foundation item:The National Natural Science Foundation of China (Grant No. 72274052), and the National Natural Science Foundation of China (Grant No. 72174173).<br>Corresponding author:Qingyu Shi,E-mail:ching.s@foxmail.com
Last Update: 2025-12-26