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|Title:||Using Container Status Messages to improve targeting of high-risk cargo containers|
|Authors:||TSOIS Aris; COTELO LEMA JOSE ANTONIO; MAKRIDIS MICHAIL; CHECCHI Enrico|
|Publisher:||from ENEA - Italian National Agency for New Technologies, Energy and Sustainable Economic Development|
|Type:||Articles in periodicals and books|
|Abstract:||Customs authorities consider the transportation route as an important factor for the profiling and targeting of high-risk cargo containers. In most of the cases, authorities have incomplete information. On the other hand, ocean carriers collect, store and own Container Status Messages which describes the status and movement of the containers. In this paper we present how semantic information can be extracted from the CSM data in the form of Container-Trip Information (CTI) and Vessel-Stop Information (VSI). These new information elements can be used to build route-based risk indicators for the automated analysis of the routes. Finally, we present the visual analytics tool we have implemented to analyse and visualize CSM and CTI data.|
|JRC Directorate:||Space, Security and Migration|
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