The goal of this research is to develop a distributed model-predictive air flow management approach (in terms of flight routing and scheduling), which is applicable to a large-scale air traffic network, and can mitigate the network-wise en-route and airport arrival delay caused by reduction of link capacities during abnormal situations such as severe weather in some regions or airspace restrictions due to military operational needs.
- Minimize the air traffic delay and enhance the air traffic system usage.
- Develop a distributed model-predictive air flow management approach.
- Provide a procedure, which translates optimal flow rate assignments to flight trajectories (i.e., departure times, speed and routes).
- Explore the optimal air traffic flow management and flight trajectories generation when uncertainties are introduced.