 TRED, Traffic Root Extraction and Anomaly Detection is a machine learning algorithm designed to extract and analyze maritime traffic patterns from raw AIS data. It is able to process varying levels of intermittency, sensor coverage and performance, as well as time lags between successive observations. This article was authored by Karna Bryan, Juliana Pallana, and Michelle Vesp.