Structural predictability of large-scale aircraft interaction networks

Abstract

Complex network theory has recently been proposed as a promising tool for characterising interactions between aircraft, and their downstream effects. We here explore the problem of networks' topological predictability, i.e. the dependence of their structure on the traffic level, but the apparent absence of significant inter-day variability. By considering smaller spatial scales, we show that the sub-networks corresponding to individual FIRs are highly heterogeneous and of low predictability; this is nevertheless modulated by the structure of airways, and specifically by the complexity in airspace usage. We further discuss initial results of the evolution of such properties across multiple spatial scales; and draw conclusions on the operational implications, specifically on efforts to limit downstream effects.