A vessel loitering detection method based on AIS data, capable of performing, according to obtained vessel AIS trajectory data, vessel loitering behavior detection for mass trajectory data, classifying a vessel loitering behavior, and summarizing relationships between four typical vessel abnormal motion trajectories and defined variables. Analysis is performed according to a relationship between vessel motion trajectory features and statistical parameters, and vessel abnormal loitering behavior detection is performed according to a trajectory distribution condition in a grid. After a vessel AIS trajectory is filtered and smoothed, a global space-time grid index is established, and gridding processing is performed on the vessel trajectory; vessel abnormal motion detection is performed according to vessel abnormal trajectory features, and an abnormal classification alarm is given for a vessel abnormal motion trajectory. The vessel loitering behavior detection can provide a decision support for marine safety supervision, enhance safety of marine traffic, and ensure safe navigation of vessels, and has important significance in promoting safety, high efficiency and smoothness of marine transportation.
VESSEL LOITERING DETECTION METHOD BASED ON AIS DATA