CLEAR: A Knowledge-Centric Vessel Trajectory Analysis Platform

• URL: http://arxiv.org/abs/2602.08482v1
• Date: Mon, 09 Feb 2026 10:32:26 GMT
• Title: CLEAR: A Knowledge-Centric Vessel Trajectory Analysis Platform
• Authors: Hengyu Liu, Tianyi Li, Haoyu Wang, Kristian Torp, Yushuai Li, Tiancheng Zhang, Torben Bach Pedersen, Christian S. Jensen,
• Abstract summary: We present CLEAR, a knowledge-centric vessel trajectory analysis platform.<n> CLEAR transforms raw AIS data into complete, interpretable, and easily explorable vessel trajectories.<n>As part of the demo, participants can configure parameters to automatically download and process AIS data.
• Score: 18.939378377355396
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Vessel trajectory data from the Automatic Identification System (AIS) is used widely in maritime analytics. Yet, analysis is difficult for non-expert users due to the incompleteness and complexity of AIS data. We present CLEAR, a knowledge-centric vessel trajectory analysis platform that aims to overcome these barriers. By leveraging the reasoning and generative capabilities of Large Language Models (LLMs), CLEAR transforms raw AIS data into complete, interpretable, and easily explorable vessel trajectories through a Structured Data-derived Knowledge Graph (SD-KG). As part of the demo, participants can configure parameters to automatically download and process AIS data, observe how trajectories are completed and annotated, inspect both raw and imputed segments together with their SD-KG evidence, and interactively explore the SD-KG through a dedicated graph viewer, gaining an intuitive and transparent understanding of vessel movements.

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