Trigger Metrics for Dynamic Airspace Configuration

Head, Hilton; Carolina, South; Yousefi, Arash; Hoffman, Robert; Lowther, Marcus; Khorrami, Babak; Hackney, Herbert

doi:10.2514/6.2009-7103

Cited by 11 publications

(4 citation statements)

References 5 publications

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“…Relatively little is known about this type of workload. 27,28 Furthermore, the number of operating positions allocated to each open sector impacts workload, but it is not obvious how to quantify this impact. 29,30 Thirdly, even if controller workload were known exactly, it is not clear what levels of controller workload facilitate safe and efficient traffic operations.…”

Section: Imperfect Objective Functionmentioning

confidence: 99%

An Approach for Finding Multiple Area of Specialization Configuration Advisories

Bloem

Bambos

2013

2013 Aviation Technology, Integration, and Operations Conference

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Area of specialization supervisors dynamically configure a set of air traffic control resources so that air traffic in the area can operate safely and efficiently. These resources include airspace sectors, air traffic control positions staffed by controllers, and physical air traffic control equipment. In this paper, we motivate and demonstrate an approach for finding multiple advisories that can assist area supervisors as they accomplish this task. The first motivating factor is that a preference for multiple good and also distinct advisories has been documented in similar contexts, including some air traffic management problems. The second factor that motivates our approach is that the model, problem statement, and algorithm used to generate a single advisory are incomplete and do not perfectly represent reality. The third factor, which we speculate is primarily a result of the second factor, is that area supervisors have indicated a preference for multiple (usually two or three) advisories over a single advisory. Area supervisors have further indicated that each proposed advisory should be different from the other proposed advisories. We investigate the set of advisories that perform best according to a particular objective function for some realistic problem instances. The best few advisories are typically not meaningfully different and therefore should not be presented together to supervisors, and this is the fourth and final factor that motivates our approach. Based on these motivating factors, we define a problem statement which requests multiple good advisories that are all sufficiently different from each other. We briefly describe a heuristic algorithm that was developed for this problem. To more concretely illustrate and motivate the proposed approach, we present the advisories provided by this algorithm for a sample problem instance. We also demonstrate that the proposed heuristic can find feasible second advisories for as many realistic problem instances (15 of 18) as a nearly-exhaustive search. When executed on a desktop workstation computer, the proposed heuristic returns advisories for these realistic problem instances in less than one second per problem instance.

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Section: Imperfect Objective Functionmentioning

confidence: 99%

An Approach for Finding Multiple Area of Specialization Configuration Advisories

Bloem

Bambos

2013

2013 Aviation Technology, Integration, and Operations Conference

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“…Reconfiguration of airspace has certain benefits associated with it but it has associated costs, which necessitate studying and under standing the mechanisms of triggerbased reconfigurations and the extent to which airspace would have to be reconfigured. Yousefi et al (36) present a detailed study of the trigger metrics for DAC.…”

Section: Future Workmentioning

confidence: 99%

Dynamic Airspace Configuration Using Approximate Dynamic Programming

Kulkarni

Ganesan

Sherry

2012

Transportation Research Record: Journal of the Transportation R

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On the basis of weather and high traffic, the Next Generation Air Transportation System envisions an airspace that is adaptable, flexible, controller friendly, and dynamic. Sector geometries, developed with average traffic patterns, have remained structurally static with occasional changes in geometry due to limited forming of sectors. Dynamic airspace configuration aims at migrating from a rigid to a more flexible airspace structure. Efficient management of airspace capacity is important to ensure safe and systematic operation of the U.S. National Airspace System and maximum benefit to stakeholders. The primary initiative is to strike a balance between airspace capacity and air traffic demand. Imbalances in capacity and demand are resolved by initiatives such as the ground delay program and rerouting, often resulting in systemwide delays. This paper, a proof of concept for the dynamic programming approach to dynamic airspace configuration by static forming of sectors, addresses static forming of sectors by partitioning airspace according to controller workload. The paper applies the dynamic programming technique to generate sectors in the Fort Worth, Texas, Air Route Traffic Control Center; compares it with current sectors; and lays a foundation for future work. Initial results of the dynamic programming methodology are promising in terms of sector shapes and the number of sectors that are comparable to current operations.

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“…This necessitates the study and understanding of the mechanisms that trigger reconfiguration and the extent under which, in effect of these triggers, the airspace would have to be reconfigured. Yousefi et al [31] present a detailed study of the trigger metrics for DAC.…”

Section: Future Workmentioning

confidence: 99%

Static sectorization approach to dynamic airspace configuration using approximate dynamic programming

Kulkarni¹,

Ganesan²,

Sherry³

2011

2011 Integrated Communications, Navigation, and Surveillance Conference Proceedings

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The National Airspace System (NAS) is an important and a vast resource. Efficient management of airspace capacity is important to ensure safe and systematic operation of the NAS eventually resulting in maximum benefit to the stakeholders. Dynamic Airspace Configuration (DAC) is one of the NextGen Concept of Operations (ConOps) that aims at efficient allocation of airspace as a capacity management technique.This paper is a proof of concept for the Approximate Dynamic Programming (ADP) approach to Dynamic Airspace Configuration (DAC) by static sectorization. The objective of this paper is to address the issue of static sectorization by partitioning airspace based on controller workload i.e. airspace is partitioned such that the controller workload is balanced between adjacent sectors. Several algorithms exist that address the issue of static restructuring of the airspace to meet capacity requirements on a daily basis. The intent of this paper is to benchmark the results of our methodology with the state-of-the-art algorithms and lay a foundation for future work in dynamic resectorization.

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Trigger Metrics for Dynamic Airspace Configuration

Cited by 11 publications

References 5 publications

An Approach for Finding Multiple Area of Specialization Configuration Advisories

An Approach for Finding Multiple Area of Specialization Configuration Advisories

Dynamic Airspace Configuration Using Approximate Dynamic Programming

Static sectorization approach to dynamic airspace configuration using approximate dynamic programming

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