AI RESEARCH

Beyond the Next Port: A Multi-Task Transformer for Forecasting Future Voyage Segment Durations

arXiv CS.LG

ArXi:2601.08013v2 Announce Type: replace Accurate forecasts of segment-level sailing durations are fundamental to enhancing maritime schedule reliability and optimizing long-term port operations. However, conventional estimated time of arrival (ETA) models are primarily designed for the immediate next port of call and rely heavily on real-time automatic identification system (AIS) data, which is inherently unavailable for future voyage segments. To address this gap, the study reformulates future-port ETA prediction as a segment-level time-series forecasting problem.