AI RESEARCH
Historical Knowledge Graphs for Global Maritime Estimated Time of Arrival
arXiv CS.CV
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ArXi:2605.18408v1 Announce Type: new Accurate vessel estimated-time-of-arrival forecasts are critical for port operations and decarbonization, yet global-scale travel-time prediction remains difficult without costly contextual data. Herein, I present a methodology for constructing a historical maritime knowledge graph using only Automatic Identification System (AIS) data. First, segmented trajectories are extracted from noisy AIS data using a Gaussian-mixture-model-based preprocessing pipeline.