선박 운항데이터 기반 세 선종의 회피 행태 분석

Abstract

The safe and efficient operation of ships requires technologies to avoid collisions with other ships. This paper analyzes the avoidance behavior of three types of ships based on the actual operation data collected from the ship's Automatic Identification System (AIS) and Voyage Record Data (VDR). From the collected data, the relative positions and speeds of the ships were used to calculate the Closest Point of Approach (CPA). The avoidance behavior analysis was classified into head-on collision, overtaking, and crossing situations according to the angle of entry of the ship and the other ship based on the collision avoidance regulation COLREG. The classified avoidance situations were subjected to single-factor and multifactor analysis and statistical analysis to evaluate how the three ship types avoid other ships. Using the avoidance behaviors of different ships, the results of the analysis suggest a methodology for ships to safely avoid other ships based on the state of the ship and the perceived situation. The results of this study can contribute to future research by analyzing the avoidance behavior that reflects the intention of the navigator using actual operation data.