A Study on Ship Navigation Optimization Using Detailed Oceanographic Information Based on the S-100 Standards

Abstract

Maritime transport is a globally interconnected mode of logistics that enables large-scale cargo movement across nations. Unlike land or air transport, ships operate in an open and borderless domain, which necessitates the adoption of standardized operational frameworks across countries. However, this global standardization also limits the rapid integration of emerging technologies into maritime operations. Recently, international organizations such as the International Maritime Organization (IMO) and the International Hydrographic Organization (IHO) have been actively promoting next-generation maritime navigation systems and the implementation of unified data standards, such as the S-100 framework. These efforts align with global environmental goals, including decarbonization and sustainable shipping. In this context, optimizing ship navigation based on real-time oceanographic information―such as surface currents, wave, and swell conditions―has emerged as a critical area of research for enhancing energy efficiency and safety at sea. This study proposes a model for estimating ship fuel consumption by utilizing detailed oceanographic variables such as ocean currents, wave height, and swell direction. The predicted fuel usage is delivered to ship operators in real time to assist in navigation decisions. Furthermore, based on the environmental forecasts, the system provides optimized navigation guidelines, ultimately aiming to reduce fuel usage and improve overall operational efficiency.