Journal ArticleDOI
Dynamic Queuing Network Model for Flow Contingency Management
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A queuing network model is introduced that can comprehensively represent traffic flow dynamics and flow management capabilities in the U.S. National Airspace System and is expected to serve as a critical piece of a strategic flow contingency management solution for the Next Generation Air Traffic System (NextGen).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.read more
Citations
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Infinite time horizon maximum causal entropy inverse reinforcement learning
TL;DR: The maximum causal entropy framework is extended to the infinite time horizon setting and a gradient-based algorithm for the maximum discounted causal entropy formulation is developed that enjoys the desired feature of being model agnostic, a property that is absent in many previous IRL algorithms.
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A Probabilistic Eulerian Traffic Model for the Coordination of Multiple AGVs in Automatic Warehouses
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Journal ArticleDOI
Multivariate Probabilistic Collocation Method for Effective Uncertainty Evaluation With Application to Air Traffic Flow Management
TL;DR: This paper provides conditions that permit the multivariate PCM to precisely predict the mean of the original system output, and explores additional capabilities of the multi-variable PCM, in terms of cross-statistics prediction, relation to the minimum mean-square estimator, and computational feasibility for large dimensional data.
Journal ArticleDOI
Applications of stochastic modeling in air traffic management:Methods, challenges and opportunities for solving air traffic problems under uncertainty
TL;DR: A critical review of recent developments in the literature on stochastic modeling applications within aviation, with a particular focus on problems involving demand and capacity management and the mitigation of air traffic congestion is provided.
Journal ArticleDOI
Simultaneous Optimization of Airspace Congestion and Flight Delay in Air Traffic Network Flow Management
TL;DR: The problem of alleviating the airspace congestion and reducing the flight delays in ATFM simultaneously is addressed and a pre-selection operator is proposed as one heuristic strategy to identify promising solutions and reduce the search space by defining a sector equilibrium metric.
References
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Journal ArticleDOI
The Air Traffic Flow Management Problem with Enroute Capacities
TL;DR: In this article, the authors proposed a model that takes into account the capacities of the National Airspace System (NAS) as well as the capacities at the airports, and showed that the resulting formulation is rather strong as some of the proposed inequalities are facet defining for the convex hull of solutions.
Proceedings ArticleDOI
Analysis of aircraft arrival and departure delay characteristics
TL;DR: This paper analyzes departure and arrival data for ten major airports in the United States that experience large volumes of traffic and significant delays and shows that departure delay is better modeled using a Poisson distribution, while the enroute and arrival delays fit the Normal distribution better.
Journal ArticleDOI
New Approach for Modeling, Analysis, and Control of Air Traffic Flow
TL;DR: An Eulerian approach to modeling air traffic flow is advanced and it is shown that analysis and design methods from linear control theory can be applied to this model to yield useful approaches for characterizing and controlling theAir traffic flow.
Journal ArticleDOI
Stabilization of continuous-time jump linear systems
Yuguang Fang,Kenneth A. Loparo +1 more
TL;DR: It is shown that individual mode controllability implies almost-sure stabilizability, which is not true for other types of stabilizable systems, and some testable sufficient conditions for /spl delta/-moment stabilIZability and almost- Sure stabilization are presented.
Journal ArticleDOI
Queuing Model for Taxi-Out Time Estimation
TL;DR: An effort to improve the accuracy of estimating the taxi-out time, which is the duration between pushback and takeoff, by identifying the main factors and building an estimation model that takes the most important ones into account.