Analysis Method of Ship Detention Judgment based on optimized DBSCAN Cluster Algorithm

Abstract

In order to realize the rapid extraction of maritime traffic behavior characteristics, we should effectively monitor and analyze the berthing and navigation of ships, and timely discover the abnormal behavior of ships. In this paper, an analysis method of ship detention judgment based on optimized DBSCAN cluster algorithm is proposed. In this method the target track information in the monitoring period of the monitoring area, the area is meshed to find the potential core points, and the potential core points are analyzed by DBSCAN cluster analysis to determine the ship detention behavior. The results show that this method can quickly determine the ship detention behavior. Compared with the traditional DBSCAN cluster analysis method, this method maintains high accuracy, reduces the computing time complexity and effectively improves the computational efficiency.