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Dynamic Queuing Network Model for Flow Contingency Management | IEEE Journals & Magazine | IEEE Xplore

Dynamic Queuing Network Model for Flow Contingency Management

Publisher: IEEE

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)....View more

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.
Published in: IEEE Transactions on Intelligent Transportation Systems ( Volume: 14, Issue: 3, September 2013)
Page(s): 1380 - 1392
Date of Publication: 17 May 2013

ISSN Information:

Publisher: IEEE

I. Introduction

In the next Generation Air Transportation System (NextGen), traffic flow management (TFM) operations will require better congestion prediction and management at longer look-ahead times (LATs) to more effectively use the limited capacity of the National Airspace System (NAS). Specifically, a decision support capability is envisioned for NextGen, which can account for the uncertainties inherent at these longer LATs while still providing decision makers with effective coordinated strategies for managing congestion. In response to this need, an operational concept for flow contingency management (FCM), which is defined by the Federal Aviation Administration as “the process which identifies and resolves congestion or complexity resulting from blocked or constrained airspace or other off-nominal conditions” [1], has been proposed [2], [3]. The FCM operational concept requires an aggregate flow model that will allow incorporation of dynamic weather impact, design of management strategies for likely weather impact outcomes, and evaluation of these strategies using metrics of interest to multiple decision makers. A critical need in this approach is the ability to capture the types of congestion management controls available now and envisioned in the NextGen environment, for the simulation and evaluation of aggregated traffic flow for diverse management options.

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