Pubblicazione scientifica

Automatic generation of geographical networks for maritime traffic surveillance

FILONE TECNOLOGICO	TEMA
economia circolare e sostenibilità	geolocalizzazione

RIASSUNTO

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.

DATA

Data di pubblicazione: 01/07/2014

AUTORI

VIRGINIA FERNANDEZ ARGUEDAS
GIULIANA PALLOTTA
MICHELE VESPE

ENTE DI AFFERENZA

EUR COMM JOINT RES CTR JRC ISPRA ITALY
NATO CTR MARITIME RES & EXPERIMENTATION CMRE LA SPEZIA ITALY

RIVISTA

17th International Conference on Information Fusion (FUSION) (Page(s): 1-8)

IMPACT FACTOR

N.D.

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