Scipediacontent: Scipediacontent moved page Draft Content 851472322 to Legge Levy 2008a

2021-02-02T05:10:16Z

Scipediacontent moved page Draft Content 851472322 to Legge Levy 2008a

Scipediacontent: Created page with " == Abstract == urate prediction of departure taxi times will help airlines to proactively manage push-times, to optimally assign scarce ramp resources, and to propagate dela..."

2021-02-02T05:10:08Z

Created page with " == Abstract == urate prediction of departure taxi times will help airlines to proactively manage push-times, to optimally assign scarce ramp resources, and to propagate dela..."

New page

== Abstract ==

urate prediction of departure taxi times will help airlines to proactively manage push-times, to optimally assign scarce ramp resources, and to propagate delay information to destination airports in a more timely fashion. Air Traffic Control (ATC) will benefit via improved demand forecasts for the terminal area and enroute air sectors. An ancillary benefit to such predictions is the ability to discern factors contributing to longer taxi times. To facilitate accurate predictions, we will analyze the utility of the Airport Surface Detection Equipment, Model X (ASDE-X) surface surveillance data. Months of archived data support both historical analysis (i.e., under similar conditions, what happened in the past?) and a more dynamic real-time surface analysis (e.g., aircraft positions, queues, and runway utilization).

== Original document ==

The different versions of the original document can be found in:

* [http://pdfs.semanticscholar.org/248a/823309af6f24f0e8c085c4d238cb2b1e3576.pdf http://pdfs.semanticscholar.org/248a/823309af6f24f0e8c085c4d238cb2b1e3576.pdf]

* [http://arc.aiaa.org/doi/pdf/10.2514/6.2008-8958 http://arc.aiaa.org/doi/pdf/10.2514/6.2008-8958],
: [http://dx.doi.org/10.2514/6.2008-8958 http://dx.doi.org/10.2514/6.2008-8958]

* [https://arc.aiaa.org/doi/10.2514/6.2008-8958 https://arc.aiaa.org/doi/10.2514/6.2008-8958],
: [https://thehill.com/sites/default/files/Sensis_ATIO_08_Legge_0.pdf https://thehill.com/sites/default/files/Sensis_ATIO_08_Legge_0.pdf],
: [https://academic.microsoft.com/#/detail/2041069838 https://academic.microsoft.com/#/detail/2041069838]

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Legge Levy 2008a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 851472322 to Legge Levy 2008a

Scipediacontent: Created page with " == Abstract == urate prediction of departure taxi times will help airlines to proactively manage push-times, to optimally assign scarce ramp resources, and to propagate dela..."