An Estimation of the Benefits of Air Traffic Flow Management

DeArmon, James; Hoffman, J.; Holden, Thomas; Mayo, John J.; Solomos, George; Kuzminski, Peter; Chambliss, A G

doi:10.2514/6.2008-8908

Cited by 6 publications

(5 citation statements)

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“…As discussed in Section II, a ratio of 2-to-1 air-to-ground costs is desired. 16,17 Recall that the average number of credits available per flight is 5. If a flight is assigned a ground holding cost of, say, 2, then when doubling that value for the air holding cost the result is a cost to hold that flight in the air which is less than the average cost to hold flights on the ground.…”

Section: Experiments and Resultsmentioning

confidence: 99%

“…A reasonable value for the ratio of c a f to c g f is 2 to 1. This ratio is roughly based on the extra cost of fuel to hold in the air for one minute versus one the ground for the same length of time, 16,17 but it could vary based on many parameters (aircraft type, where ground holding occurs, etc.). In Section III the number of credits assigned to a given flight will translate into more appropriate weights from the airlines' perspective.…”

Section: Iia the Bertsimas-stock Patterson Modelmentioning

confidence: 99%

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Incorporating User Preferences within an Optimal Traffic Flow Management Framework

Rios

Sheth

Guiterrez-Nolasco

2010

AIAA Guidance, Navigation, and Control Conference

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The effectiveness of future decision support tools for Traffic Flow Management in the National Airspace System will depend on two major factors: computational burden and collaboration. Previous research has focused separately on these two aspects without consideration of their interaction. In this paper, their explicit combination is examined. It is shown that when user preferences are incorporated with an optimal approach to scheduling, runtime is not adversely affected. A benefit-cost ratio is used to measure the influence of user preferences on an optimal solution. This metric shows user preferences can be accommodated without inordinately, negatively affecting the overall system delay. Specifically, incorporating user preferences will increase delays proportionally to increased user satisfaction. Ground-holding cost for flight f D k (t) Departure capacity of airport k at time t S k (t) Capacity of sector k at time t w k f,t Binary variable for sector k, flight f , and time t Nomenclature

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Section: Experiments and Resultsmentioning

confidence: 99%

Section: Iia the Bertsimas-stock Patterson Modelmentioning

confidence: 99%

Incorporating User Preferences within an Optimal Traffic Flow Management Framework

Rios

Sheth

Guiterrez-Nolasco

2010

AIAA Guidance, Navigation, and Control Conference

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“…This approach 6 of determining path difference using MLD was successfully used in an earlier study comparing clear-weather routing to weather avoidance flight routes. 10 Here, the measurement is applied to all pairs of routes within a cluster, and the total deviation, in units of nautical miles, is then averaged. Another step in the computations is needed, since a composite solution contains 42 different O/D pairs, with greatly varying distances between origin and destination.…”

Section: Den-lax 45mentioning

confidence: 99%

Air Route Clustering for a Queuing Network Model of the National Airspace System

DeArmon

Taylor

Maşek

et al. 2014

14th AIAA Aviation Technology, Integration, and Operations Conference

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A network queuing model of the National Airspace System has been developed to support research into a strategic air traffic flow management capability. One of the challenges in the execution of the model is the size of the network -the computing resources required when modeling the entire United States are immense. As a way to reduce the network size, we investigate route clustering, i.e., grouping similar routes to reduce the number of paths between two airports. Clustering routes comes at a cost: as the number of clusters falls, the with-in cluster variability rises, and the solution quality is diminished. A trade-off curve for solution quality vs. cluster variability is developed for a sample problem involving seven major airports.

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“…Traffic flow management is the process whereby resources are managed to match air traffic demand to available capacity. Since resources and capacity are fixed in a given time, the demand must be manipulated by introducing delays or alternate routings [130]. The mismatches between demand and capacity could worsen in the future, since airport infrastructures are going to increase only slightly but the demand will more than double in two decades.…”

Section: Air Traffic Flow Managementmentioning

confidence: 99%

“…The mismatches between demand and capacity could worsen in the future, since airport infrastructures are going to increase only slightly but the demand will more than double in two decades. Adequate air traffic planning might result at present in about 400 million US dollar savings in the US and even a higher figure for Europe [130]. Some efforts, like the introduction of a reduced vertical separation minimum, have been very successful in increasing airspace capacity, without compromising aviation safety, and as a by-product they have resulted in additional fuel and emission benefits [121].…”

Section: Air Traffic Flow Managementmentioning

confidence: 99%

Aeronautics and astronautics: Recent progress and future trends

Martínez‐Val

Pérez

2009

Proceedings of the Institution of Mechanical Engineers, Part C:

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Aeronautics and astronautics are two closely related disciplines, sometimes found under the joint term aerospace, that have progressed at a formidable pace during the 20th century. Their impact on society is overwhelming. For example, the aeroplane, the core of aeronautics, has been identified as one of the three major inventions of that century. On its turn, satellites have paved the way for modern globalization. Major drivers leading this progress have changed from the classical motto ‘higher, further, faster’ to the current ‘more affordable, cleaner, quieter’, but safety has always been kept the undisputed number one. The underlying key factors for progress have been and still are excellence and co-operation. Both aeronautics and astronautics are multidisciplinary in nature and, accordingly, this review summarizes relevant advances and trends in pertinent fields: aerodynamics, structures, propulsion, and so on. All these fields are still very healthy and the 21st century will witness again a new era of astonishing aerospace developments.

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An Estimation of the Benefits of Air Traffic Flow Management

Cited by 6 publications

References 1 publication

Incorporating User Preferences within an Optimal Traffic Flow Management Framework

Incorporating User Preferences within an Optimal Traffic Flow Management Framework

Air Route Clustering for a Queuing Network Model of the National Airspace System

Aeronautics and astronautics: Recent progress and future trends

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