The first stage of the SMART-Navigation project was completed in 2020, and a new project that aims to develop smart AtoN (aids to navigation) has begun. If the location information of ships is continuously collected, processed and accumulated, it will be possible to identify the behavioral characteristics of each ship and to combine the characteristics of active ships at some point to provide various forms of predictive information. In this paper, we describe how current and traditional fishing areas are identified based on the location information of fishing boats and then introduce a new method for predicting fishing areas in advance using historical information of currently active fishing boats.

The SV1 service - NAMAS(Navigation Monitoring & Assistance Service) collects ship’s position data in all South Korean waters, and predicts the next positions, calculates the CPAs between ships within a certain distance, evaluates basic collision risk and each vulnerability, then integrates to the navigational collision risk. This paper describes the functions and background chosen in the navigation risk solving system; Data characteristics, framework of navigation risk solving system, and data structures and methods for efficient computation for CPA calculations and detecting accident risk situations.