NDLI: Decision support tool for predicting aircraft arrival rates from weather forecasts

Content Provider	IEEE Xplore Digital Library
Author	Smith, D.A. Sherry, L.
Copyright Year	2008
Description	Author affiliation: George Mason Univ., Fairfax, VA (Smith, D.A.; Sherry, L.)
Abstract	The principle bottlenecks of the air traffic control system are the major commercial airports. Atlanta, Detroit, St. Louis, Minneapolis, Newark, Philadelphia, and LaGuardia all expect to be at least 98% capacity by 2012. Due to their cost and the environmental and noise issues associated with construction, it is unlikely that any new airports will be built in the near future. Therefore to make the National Airspace System run more efficiently, techniques to more effectively use the limited airport capacity must be developed Air Traffic Management has always been a tactical exercise, with decisions being made to counter near term problems. Since decisions are made quickly, limited time is available to plan out alternate options that may better alleviate arrival flow problems at airports. Extra time means nothing when there is no way to anticipate future operations, therefore predictive tools are required to provide advance notice of future air traffic delays. This research describes how to use Support Vector Machines (SVM) to predict future airport capacity. The Terminal Aerodrome Forecast (TAF) is used as an independent variable within the SVM to predict Aircraft Arrival Rates (AAR) which depict airport capacity. Within a decision support tool, the AAR can be derived to determine Ground Delay Program (GDP) program rate and duration and passenger delay. Real world examples are included to highlight the usefulness of this research to airlines, air traffic managers, and the flying consumer. New strategies to minimize the effect of weather on arrival flow are developed and current techniques are discussed and integrated into the process. The introduction of this decision support tool will expand the amount of time available to make decisions and move resources to implement plans.
Starting Page	1
Ending Page	12
File Size	677619
Page Count	12
File Format	PDF
ISBN	9781424423033
DOI	10.1109/ICNSURV.2008.4559186
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Costs Working environment noise Delay effects Weather forecasting Airports Air traffic control Ground support Aircraft Counting circuits
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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