A Multi-Factor Coupled Framework for Maritime Survival Assessment and Drift Prediction
Maritime emergency rescue faces significant challenges due to high uncertainty in target localization and the difficulty of quantitatively evaluating survival states. To address these issues, a coupled multi-factor framework is proposed for maritime survival assessment and drift prediction. It integrates environmental dynamics with individual physiological and psychological characteristics through a time-dependent coupling mechanism. A current–wind coupled model is employed for trajectory prediction. A trajectory–survival co-evolution framework is introduced to capture the dynamic interaction between spatial drift and survival degradation. The proposed framework is further implemented within a simulation platform to support dynamic anal-ysis and visualization. Simulation results indicate that the proposed framework provides more consistent and robust trajectory prediction under the constructed maritime conditions. Under ±5% environmental perturbations, trajectory deviation remains within 8% and survival variation is below 6%, with relative per-formance improvements of approximately 10%–15% compared with baseline simulation models under the constructed experimental settings.
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