Changes in Maritime Traffic Patterns According to Installation of Floating LiDAR Using Spatial Analysis

Abstract

Recently, with the development of marine space around the world, friction between maritime traffic and various marine activities is intensifying. In particular, different recommendations are being made for the buffer zone between offshore wind farms and maritime traffic, as the criteria vary significantly. In order to respond to these changes in marine space, conducted this study on the change of maritime traffic patterns before and after the installation of floating LiDAR (Light Detection And Ranging) in marine facilities and apply it to future changes in maritime traffic patterns. The maritime traffic data was based on Automatic Identification System (AIS) data, and it was targeted at cargo ships and tankers with regular traffic patterns. A trajectory and spatial analysis were performed based on the AIS in the marine space. As a result of analyzing the globally maritime traffic patterns targeting the location of the installation complex of LiDARs, it can be confirmed that the existing maritime traffic patterns change into three maritime traffic patterns. Furthermore, the study employed the Hausdorff-distance algorithm for clustering analysis, categorizing vessels with similar trajectories. This approach facilitated a locally analysis of the buffer zone associated with individual LiDAR, considering the length of the vessels. As a result, it was analyzed that each vessel navigated at different buffer zone depending on the size of the vessel, and it is possible for safe navigation and forecast the future maritime traffic patterns.

Keywords

• Maritime traffic
• marine facilities
• automatic identification system (AIS)
• spatial analysis
• buffer zone