Integrating Complexity in Air Traffic Management Systems

Connected, automated and electric vehicles
Modeling and simulation



The objectives of the proposed study are to develop an integrated real-time system-wide information fusion methodology for prognostics and safety assurance of the National Airspace System (NAS). Various sources of uncertainties and their coupling effects will be systematically investigated for accurate failure and risk assessment of the extremely large-scale, complex NAS. A community-based collaborative simulation platform will be developed and deployed for continued sustainable prognostics technology evolution for the NAS safety research.


ASU Leads

Yongming Liu

Professor, School for the Engineering of Matter, Transport and Energy

Nancy Cooke

Professor, Human Systems Engineering at the Polytechnic School