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.
Automatic generation of geographical networks for maritime traffic surveillance
01.07.2014
1665346 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Maritime Traffic Environment Risk Analysis Based on Geographical Distribution
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