Airspace capacity estimation using flows and Weather-Impacted Traffic Index

Klein, Alexander; Cook, Lara; Wood, Bryan R.; Simenauer, D.

doi:10.1109/icnsurv.2008.4559188

Cited by 25 publications

(14 citation statements)

References 3 publications

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“…This method employed "flows" -Great Circle tracks between major city pairs -and computed the total convective impact score along a flow, taking into account the extent of a convective area in the direction perpendicular to the flow ("flow blockage"). The resulting Center airspace availability estimates were in reasonable agreement with those obtained from relating actual traffic occupancy counts in Centers on weather-impacted days to their good-weather, busy-weekday peak traffic counts, even though such comparisons carry a number of caveats (see [5]). These estimates 978-1-4244-2208-1/08/$25.00 ©2008 IEEE.…”

Section: Introductionsupporting

confidence: 62%

“…In our previous research [5], we have proposed a method for ATC Center airspace availability estimation based on the Weather Impacted Traffic Index (WITI) metric and algorithms. This method employed "flows" -Great Circle tracks between major city pairs -and computed the total convective impact score along a flow, taking into account the extent of a convective area in the direction perpendicular to the flow ("flow blockage").…”

Section: Introductionmentioning

confidence: 99%

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Airspace availability estimation for traffic flow management using the scanning method

Klein¹,

Cook

Wood

2008

2008 IEEE/AIAA 27th Digital Avionics Systems Conference

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We present a new method for airspace availability estimation based on scanning an ATC sector or Center with sets of parallel lines cast in a series of directions, e.g. every 20 degrees for a complete 360-degree horizon. The scan lines may encounter actual or forecast convective weather. Based on the maximum actual intensity or forecast probability of convective weather, we determine if a given weather area is permeable by a scan line. The ratio of the number of scan lines that can permeate all convective weather in a Center vs. the total number of scan lines crossing the Center determines its airspace availability in a given direction for a particular hour. We then create "Wind Rose" style charts depicting directional availability of airspace in ATC Centers impacted by convective weather. This method is applied to comparing the accuracy of different convective forecast products. We also discuss further applications such as computing directional availability vs. directional demand and building airspace queuing delay models, from simple to more complex.

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Section: Introductionsupporting

confidence: 62%

Section: Introductionmentioning

confidence: 99%

Airspace availability estimation for traffic flow management using the scanning method

Klein¹,

Cook

Wood

2008

2008 IEEE/AIAA 27th Digital Avionics Systems Conference

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“…The data sources are National Traffic Management Log (NTML) [12], Airport surface Terminal Forecast Weather Impacted Traffic Index, T-WITI-FA [13][14][15], and the Aviation System Performance Metrics (ASPM) database [16]. All data at GDP issue time over years 2008 through 2009 were derived from these data sources.…”

Section: Data Used In the Studymentioning

confidence: 99%

Modeling Weather Impact on Ground Delay Programs

Wang¹,

Kulkarni²

2011

SAE Int. J. Aerosp.

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Scheduled arriving aircraft demand may exceed airport arrival capacity when there is abnormal weather at an airport. In such situations, Federal Aviation Administration (FAA) institutes ground-delay programs (GDP) to delay flights before they depart from their originating airports. Efficient GDP planning depends on the accuracy of prediction of airport capacity and demand in the presence of uncertainties in weather forecast. This paper presents a study of the impact of dynamic airport surface weather on GDPs. Using the National Traffic Management Log, effect of weather conditions on the characteristics of GDP events at selected busy airports is investigated. Two machine learning methods are used to generate models that map the airport operational conditions and weather information to issued GDP parameters and results of validation tests are described.

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“…A prominent approach of this sort for measuring weather-traffic interaction is based on overlaying weather and traffic on a map to compute impact. Formally, the intersection of weather severity and traffic density -or, more specifically, the product of weather severity and traffic density integrated over an airspace region -is used as a crude measure for total weather impact on traffic [6,7]. This simple impact measure, which is often termed the Weather Impacted Traffic Index (WITI), is a surprisingly accurate predictor for regional and NAS-wide traffic impacts such as total delays caused by the weather.…”

Section: Current Practice and Background Literaturementioning

confidence: 99%

Geographical Weather-Impact Sourcing: Analytical and Data-Driven Approaches

Roy

Wan

2013

2013 Aviation Technology, Integration, and Operations Conference

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The problem of weather-impact sourcing, i.e. identification and ranking of upstream National Airspace System (NAS) resources whose traffic flows are significantly impacted or modulated by a weather zone, is conceptualized. A historical case study is presented to gain insight into the geographical pattern of weather-impacted traffic. Based on these insights, we argue that highly simplified representations of air traffic and weather may be sufficient for weather-impact sourcing, and briefly introduce data-and model-driven techniques that may be promising for rapid sourcing.

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Airspace capacity estimation using flows and Weather-Impacted Traffic Index

Cited by 25 publications

References 3 publications

Airspace availability estimation for traffic flow management using the scanning method

Airspace availability estimation for traffic flow management using the scanning method

Modeling Weather Impact on Ground Delay Programs

Geographical Weather-Impact Sourcing: Analytical and Data-Driven Approaches

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