Scipediacontent: Scipediacontent moved page Draft Content 357861185 to Wang 2011a

2021-02-01T21:15:26Z

Scipediacontent moved page Draft Content 357861185 to Wang 2011a

Scipediacontent: Created page with " == Abstract == Ensemble learning with the Bagging Decision Tree (BDT) model was used to assess the impact of weather on airport capacities at selected high-demand airports i..."

2021-02-01T21:15:20Z

Created page with " == Abstract == Ensemble learning with the Bagging Decision Tree (BDT) model was used to assess the impact of weather on airport capacities at selected high-demand airports i..."

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== Abstract ==

Ensemble learning with the Bagging Decision Tree (BDT) model was used to assess the impact of weather on airport capacities at selected high-demand airports in the United States. The ensemble bagging decision tree models were developed and validated using the Federal Aviation Administration (FAA) Aviation System Performance Metrics (ASPM) data and weather forecast at these airports. The study examines the performance of BDT, along with traditional single Support Vector Machines (SVM), for airport runway configuration selection and airport arrival rates (AAR) prediction during weather impacts. Testing of these models was accomplished using observed weather, weather forecast, and airport operation information at the chosen airports. The experimental results show that ensemble methods are more accurate than a single SVM classifier. The airport capacity ensemble method presented here can be used as a decision support model that supports air traffic flow management to meet the weather impacted airport capacity in order to reduce costs and increase safety.

== Original document ==

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

* [https://zenodo.org/record/1267327 https://zenodo.org/record/1267327] under the license https://creativecommons.org/share-your-work/public-domain/cc0/

* [https://zenodo.org/record/1267327/files/article.pdf https://zenodo.org/record/1267327/files/article.pdf]

* [http://xplorestaging.ieee.org/ielx5/6088077/6095898/06096002.pdf?arnumber=6096002 http://xplorestaging.ieee.org/ielx5/6088077/6095898/06096002.pdf?arnumber=6096002],
: [http://dx.doi.org/10.1109/dasc.2011.6096002 http://dx.doi.org/10.1109/dasc.2011.6096002] under the license cc0

* [https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20140008304.pdf https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20140008304.pdf],
: [https://ntrs.nasa.gov/search.jsp?R=20140008304 https://ntrs.nasa.gov/search.jsp?R=20140008304],
: [http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000006096002 http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000006096002],
: [https://ieeexplore.ieee.org/document/6096002 https://ieeexplore.ieee.org/document/6096002],
: [https://repository.exst.jaxa.jp/dspace/handle/a-is/80314 https://repository.exst.jaxa.jp/dspace/handle/a-is/80314],
: [https://academic.microsoft.com/#/detail/2076975443 https://academic.microsoft.com/#/detail/2076975443]

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Wang 2011a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 357861185 to Wang 2011a

Scipediacontent: Created page with " == Abstract == Ensemble learning with the Bagging Decision Tree (BDT) model was used to assess the impact of weather on airport capacities at selected high-demand airports i..."