Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey

Abstract

The Automatic Identification System (AIS) tracks vessel movement by means of electronic exchange of navigation data between vessels, with onboard transceiver, terrestrial and/or satellite base stations. The gathered data contains a wealth of information useful for maritime safety, security and efficiency. This paper surveys AIS data sources and relevant aspects of navigation in which such data is or could be exploited for safety of seafaring, namely traffic anomaly detection, route estimation, collision prediction and path planning.

arXiv comment24 pages, 7 figures, 3 tables

References in corpus (1)

• The complex network of global cargo ship movements

Cited by in corpus (3)

• GeoTrackNet-A Maritime Anomaly Detector using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection
• An Unsupervised Learning Method with Convolutional Auto-Encoder for Vessel Trajectory Similarity Computation
• Architecture for Trajectory-Based Fishing Ship Classification with AIS Data