<ul><li>This study proposes a methodology to analyze route between maritime points of interest and extract geo-referenced standard routes from raw AIS data.</li><li>The methodology involves segmenting AIS data into distinct routes using a finite state machine (FSM) and aggregating the segments based on departure and destination ports.</li><li>Iterative density-based clustering is used to model the routes, with clustering parameters assigned manually and extended to the entire dataset using linear regression.</li><li>The unsupervised approach has been tested on a six-year AIS dataset covering the Arctic region and the Europe, Middle East, North Africa areas, proving effective in extracting standard routes with less than 5% outliers.</li></ul>

A Methodology to extract Geo-Referenced Standard Routes from AIS Data

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