NDLI: Airport surface gridlock analysis: A case study of Chicago O'Hare 2007

Content Provider	IEEE Xplore Digital Library
Author	Neyshabouri, Saba Sherry, Lance Hoffman, Karla
Copyright Year	2013
Description	Author affiliation: Center for Air Transportation Systems Research (CATSR), George Mason University, Fairfax, VA (Neyshabouri, Saba; Sherry, Lance; Hoffman, Karla)
Abstract	The evolution of Air Traffic Control (ATC) and Traffic Flow Management (TFM) over the last decade has resulted in improved coordination of departures and enroute trajectories to minimize airborne congestion and airborne holding. Since the system is a “closed-system,” the effect of these changes has been to shift airborne holding, to holding flights on the airport surface at the origin. This has placed increased emphasis on the coordination of gates, remote stands, airport parking, and surface trajectories. Previous research in this area has evaluated surface operations at specific airports through manual observation and/or surface track data, and through aggregate airport data and air traffic control logs. The purpose of this research is to develop a tool to systematically measure airport surface gridlock using publicly available data over extended periods of time (e.g. one year). The tool uses ASPM and AOTP data to count the number of aircraft on the surface but not at the gates (mi). A measure of surface gridlock for a day is determined by identifying the number of flights on the surface (but not at the gates) for each 15-minute period in a 24 hour day. The maximum, mean, and median 15 minute flight count for a day is used to characterize the airport performance for a 24 hour period. A case study analysis of flight operations at Chicago O'Hare airport in 2007 identified the number of flights on the surface (but not at a gate) for each 15-minute period. ORD experienced an average in maximum 15-minute surface flight count of 97 flights with a standard deviation of 18 flights. Twenty-four days in the year experienced a maximum surface flight count in excess of 1.5 times the standard deviation (≈ 125 flights). Fifteen days in the year experienced a maximum surface flight count in excess of 2 times the standard deviation (≈ 134 flights). Eight days in the year experienced a maximum surface flight count in excess of 3 times the standard deviation (≈ 150 flights). The maximum surface flight count in excess of twice the standard deviation is concentrated in the summer convective season, and the winter snow season. Detailed analysis of the operations when the maximum surface flight count was in excess of three times the standard deviation identifies irregular operations with significant reductions in operations due to cancellations. However the coordination between arrivals, gates, and departures results in surface congestion. These results suggest that modernization initiatives that address normal operations are unlikely to affect these irregular operations.
Sponsorship	Aerosp. Electron. Syst. Soc.
Starting Page	1
Ending Page	12
File Size	1319369
Page Count	12
File Format	PDF
ISBN	9781467362511
ISSN	21554943
e-ISBN	9781467362535
DOI	10.1109/ICNSurv.2013.6548517
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-22
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wheels Logic gates Airports Delays Trajectory Air traffic control Standards
Content Type	Text
Resource Type	Article

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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
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Airport surface gridlock analysis: A case study of Chicago O'Hare 2007

AIRPORT SURFACE GRIDLOCK ANALYSIS: A CASE STUDY OF CHICAGO O’HARE 2007

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Airport surface gridlock analysis: A case study of Chicago O'Hare 2007

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