Vessel Trajectory Data Mining: A Review

Recentadvancementsinsensorandtrackingtechnologieshavefacilitatedthereal-timetracking
of marine vessels as they traverse the oceans. As a result, there is an increasing demand to analyze these
datasets to derive insights into vessel movement patterns and to investigate activities occurring within
specific spatial and temporal contexts. This survey offers a comprehensive review of contemporary research
in trajectory data mining, with a particular focus on maritime applications. The article collects and evaluates
state-of-the-art algorithmic approaches and key techniques pertinent to various use case scenarios within
this domain. Furthermore, this study provides an in-depth analysis of recent developments in trajectory
data mining as applied to the maritime sector, identifying available data sources and conducting a detailed
examination of significant applications, including trajectory forecasting, activity recognition, and trajectory
clustering.