Title :
Automatic generation of geographical networks for maritime traffic surveillance
Author :
Fernandez Arguedas, Virginia ; Pallotta, Giuliana ; Vespe, Michele
Author_Institution :
Eur. Comm. - Joint Res. Centre (JRC), Ispra, Italy
Abstract :
In this paper, an algorithm is proposed to automatically produce hierarchical graph-based representations of maritime shipping lanes extrapolated from historical vessel positioning data. Each shipping lane is generated based on the detection of the vessel behavioural changes and represented in a compact synthetic route composed of the network nodes and route segments. The outcome of the knowledge discovery process is a geographical maritime network that can be used in Maritime Situational Awareness (MSA) applications such as track reconstruction from missing information, situation/destination prediction, and detection of anomalous behaviour. Experimental results are presented, testing the algorithm in a specific scenario of interest, the Dover Strait.
Keywords :
geographic information systems; marine systems; surveillance; traffic; automatic generation; geographical maritime network; hierarchical graph based representations; historical vessel positioning data; knowledge discovery process; maritime shipping lanes; maritime traffic surveillance; network nodes; route segments; track reconstruction; Knowledge discovery; Ports (Computers); Security; Standards; Surveillance; Trajectory; Anomaly Detection; Maritime Knowledge Discovery; Maritime Surveillance; Maritime Traffic Networks; Trajectory Mining and Synthetic Trajectories;
Conference_Titel :
Information Fusion (FUSION), 2014 17th International Conference on
Conference_Location :
Salamanca
