Objective:

• To develop a comprehensive methodology for air traffic management under uncertainty, through advances in modeling, decentralized control, and numerical simulation.

Technologies:

• Queueing theory, jump-Markov models, graph-based decentralized control, probabilistic collocation methods.

Uniqueness:

• Permits analysis and design of flow management at a network level (across the whole National Airspace System). Crystallizes new techniques in the underlying modeling and control theory.

PI: Sandip Roy

Sponsor: NASA; $230,000