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Dynamic Uncertainty Simulation for Path Optimization Maritime Search and Rescue

Authors:
Yingying Gao
Qingqing Yang
Jing Xu
Pengcheng Yang
Yonglin Lei

Keywords: maritime search and rescue; uncertainty simulation; dynamic optimization; path planning; drift modeling.

Abstract:
Maritime search and rescue constitutes a complex multi-variable decision-making problem, where the dynamic drift trajectory of overboard targets is influenced by various uncertain factors including ocean currents, wind forces, and temperature. This paper proposes a maritime rescue path planning decision algorithm based on uncertainty simulation, which achieves real-time optimization of rescue paths by constructing a dynamic drift characteristics model for overboard targets combined with dynamic optimization theory from operations research. Simulation experiments demonstrate that compared to traditional static path planning algorithms, the proposed method significantly improves both rescue success rate and time efficiency.

Pages: 69 to 71

Copyright: Copyright (c) IARIA, 2025

Publication date: September 28, 2025

Published in: conference

ISSN: 2308-4537

ISBN: 978-1-68558-300-2

Location: Lisbon, Portugal

Dates: from September 28, 2025 to October 2, 2025