Deep Dive Safeguard: Advanced Searching for MCMS

Abstract

Maritime Cruises Mini-Submarines (MCMS) plans to offer a unique underwater experience in the Ionian Sea, contingent on regulatory approval and establishing safety procedures.  We developed a Location Predictive Model using Runge-Kutta methods to predict submersible positions considering various uncertainties.  Monte Carlo simulation handled random components.  Recommended Search and Rescue (SAR) equipment, evaluated by Analytic Hierarchy Process, includes sonar systems and autonomous underwater vehicles, with the Remote Operated Vehicle being the most suitable. The Fast-Search Model optimizes SAR equipment deployment, reducing search time. The Destination Extension Model is adaptable to other tourist destinations. In conclusion, this article highlights critical location prediction and innovative SAR models supporting MCMS’s application and approval, promising Greece leadership in maritime tourism with high safety standards.