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Dynamic Queuing Network Model for Flow Contingency Management

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5 Author(s)
Yan Wan ; Department of Electrical Engineering, University of North Texas, Denton, TX, USA ; Christine Taylor ; Sandip Roy ; Craig Wanke
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We introduce a queuing network model that can comprehensively represent traffic flow dynamics and flow management capabilities in the U.S. National Airspace System (NAS). We envision this model as a framework for tractably evaluating and designing coordinated flow management capabilities at a multi-Center or even NAS-wide spatial scale and at a strategic (2-15 h) temporal horizon. As such, the queuing network model is expected to serve as a critical piece of a strategic flow contingency management solution for the Next Generation Air Traffic System (NextGen). Based on this perspective, we outline, in some detail, the evaluation and design tasks that can be performed using the model, as well as the construction of the flow network underlying the model. Finally, some examples are presented, including one example that replicates traffic in Atlanta Center on an actual bad-weather day, to illustrate simulation of the model and interpretation/use of model outputs.

Published in:

IEEE Transactions on Intelligent Transportation Systems  (Volume:14 ,  Issue: 3 )