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Massachusetts Institute of Technology

Estimating current and future benefits of airport surface congestion management techniques

Abstract

dc:description.abstract

Air traffic is expected to continue to grow in the future and improved methods for dealing with the increased demand on the system need to be designed and implemented. One method for reducing surface congestion at airports is surface congestion management (SCM) (also commonly called departure queue management or departure metering). The concept generally involves holding aircraft at the gate or in the ramp area instead of releasing them onto the active movement area during periods of high departure demand. The FAA is planning to implement surface congestion management at airports where the cost/benefit analysis is favorable. Therefore, an estimate of the benefits of implementing surface congestion management in the future is necessary. To overcome the uncertainties and difficulties inherent in forecasting, this thesis adopts a multi-fidelity modeling approach and proposes three methods for estimating the benefits of SCM where the higher fidelity models study a subset of airports to inform and validate the lower fidelity models used on the entire set of airports. In the first model, a detailed analysis of a field trial of SCM at JFK airport is conducted using operational data. The second model estimates the benefits of implementing SCM at 8 major US airports from 2010 to 2030 by simulating congestion and performance levels through taxi time estimation. The last model explores several options for generalizing the results to 35 airports in the US. The results are also validated against historical benefits estimates as well as field trials of SCM where available. The findings show that SCM will result in fuel savings on the order of 1% of the total fuel burn in all stages of flight and between 5% and 45% of taxi-out fuel burn, depending on the airport.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2012

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Nakahara, Alex (Alex Hiroo)
Advisor dc:contributor.advisor
  • Ian Waitz and Tom Reynolds.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/75838
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/75838

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Nakahara, Alex (Alex Hiroo). Estimating current and future benefits of airport surface congestion management techniques. Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/75838