Hidden Disruptions in the Air Traffic System: Modeling, Identification, and Monitoring

摘要

The United States' air transportation system is subject to myriad disruptions. Traditionally, the the management of the air transportation system has primarily been focused on mitigating the impact of disruptions caused by severe weather, including convection, winter weather, and high winds [1,2,17,18]. Recently, however, there has been growing concern about assorted other disruptions to the air transportation system, including cyber- failures and attacks, space vehicle operations, and vulnerabilities introduced by the system's human operators and clients (ranging from operator error due to fatigue to kinetic threats caused by bad actors) [3-6,19,20]. Indeed, several high-profile disruptions to the air transportation system have originated from non-weather causes in recent years. These disruptions, while localized at their source, have incurred costly propagative impacts across the air traffic system.