SCADENZA: 28  GIUGNO  2018


(Advanced Prediction Models for flexible trajectory based operations)
www:https://titulus-new.unipa.it/albo/viewer?view=files%2F003259557-UNPACLE-f0cbf848-f4eb-433b-a800-
0b551d399744-000.pdf

The aim of the research is to select, adapt and/or develop network metrics and methodologies for a statistically
validated assessment of the bottlenecks/congestion phenomena present in the airspace. The research deals with
an investigation of the micro-impact generated by aircraft trajectories that are planned in the strategic phase of
the flight planning in a certain aerospace. The main aim is that of characterizing statistical regularities in the
considered trajectories.
In particular, we will perform an empirical detection of the statistical regularities in the navigation points
network constructed from the trajectory files obtained as an output of the strategic phase. These statistical
regularities will be initially identified by detecting deviations from carefully selected null hypothesis. These results
will be complemented by a 3-motifs search within the same networks.
These analyses will also be used to create new network based metrics that can measure, in a quantitative way,
aspects of the traffic congestion.

Supervisor and Contact: Rosario N. Mantegna rosario.mantegna@unipa.it

allegato