Скачать или смотреть AIS Data Driven Ship Behavior Modelling

In this video, we are joined by Búgvi Benjamin Magnussen, a PhD student at TORM and Roskilde University in the Department of People and Technology. Búgvi discusses his research on “AIS Data Driven Ship Behavior Modelling,” exploring how ship tracking data can be used to understand vessel movements even when signals are missing.

He explains how his method, DAISTIN, reconstructs missing AIS trajectories, enabling smarter, safer, and more efficient maritime operations. Búgvi’s work provides valuable insights for anyone interested in how data-driven approaches can enhance maritime safety, operational efficiency, and sustainable shipping practices.

A must-watch for those curious about the intersection of AI, data analytics, and modern maritime operations.
MRA webpage:


He explains how his method, DAISTIN, reconstructs missing AIS trajectories, enabling smarter, safer, and more efficient maritime operations. Búgvi’s work provides valuable insights for anyone interested in how data-driven approaches can enhance maritime safety, operational efficiency, and sustainable shipping practices.

A must-watch for those curious about the intersection of AI, data analytics, and modern maritime operations.

MRA webpage: https://www.mra.dk/knowledge-center/