This research presents a data-driven approach to assess the influence of the air traffic network structure in the occurrence of losses of separation within the framework of Complex Network Theory. The network is built using radar tracks of up to 900.000 flights and characterised from a topological and safety point of view, that allows the identification of nodes involved in the loss of separation during its entire duration. Safety patterns are defined based on dependency between metrics to reveal the most critical nodes.
This research presents a data-driven approach to assess the influence of the air traffic network structure in the occurrence of losses of separation within the framework of Complex Network Theory. The network is built using radar tracks of up to 900.000 flights and characterised from a topological and safety point of view, that allows the identification of nodes involved in the loss of separation during its entire duration. Safety patterns are defined based on dependency between metrics to reveal the most critical nodes. Read More
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