An Automatic Identification System (AIS) Database for Maritime Trajectory Prediction and Data Mining

摘要

In recent years, maritime safety and efficiency become more and moreimportant across the world. Automatic Identification System (AIS) tracks vesselmovement by onboard transceiver and terrestrial and/or satellite base station.The data collected by AIS contains broadcast kinematic information and staticinformation. Both of them are useful for anomaly detection and route predictionwhich are key techniques in intelligent maritime research area. This paper isdevoted to construct a standard AIS database for maritime trajectory learning,prediction and data mining. A path prediction algorithm is tested on this AISdatabase and the testing results show this database can be used as astandardized training resource for different trajectory prediction algorithmsand other AIS data mining algorithms.