DocumentCode :
66326
Title :
Dynamic Queuing Network Model for Flow Contingency Management
Author :
Yan Wan ; Taylor, Clark ; Roy, Sandip ; Wanke, Craig ; Yi Zhou
Author_Institution :
Dept. of Electr. Eng., Univ. of North Texas, Denton, TX, USA
Volume :
14
Issue :
3
fYear :
2013
fDate :
Sept. 2013
Firstpage :
1380
Lastpage :
1392
Abstract :
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.
Keywords :
air traffic; queueing theory; NAS; NAS wide spatial scale; NextGen; U.S. national airspace system; dynamic queuing network model; flow contingency management; flow management capabilities; next generation air traffic system; queuing network model; strategic flow contingency management; temporal horizon; traffic flow dynamics; Flow contingency management (FCM); queuing network model; strategic air traffic management;
fLanguage :
English
Journal_Title :
Intelligent Transportation Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1524-9050
Type :
jour
DOI :
10.1109/TITS.2013.2260745
Filename :
6517222
Link To Document :
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