An approximate model for planning phase of maritime SAR

This work applies advanced mathematical tools to address the planning phase of maritime Search
and Rescue (SAR) problems. We use Randers, Lorentz-Finsler, and Kropina metrics to predict the
paths of survivors or debris after a shipwreck or an incident at sea.

Applying Finsler metric techniques to SAR models could enhance the accuracy of object drift
predictions. Since Finsler metrics naturally arise in problems involving anisotropic media, such
as ocean currents and wind, they are well-suited for optimizing drift predictions. To demonstrate
the applicability of the proposed model in the planning phase of SAR problems, one example is
implemented in MATLAB.