Surface congestion leads to significant increases in taxi times and fuel burn at major airports. In this paper, we formulate the airport surface congestion management problem as a dynamic control problem. We address two main challenges: the random delay between actuation (at the gate) and the server being controlled (the runway), and the need to develop control strategies that can be implemented in practice by human air traffic controllers. The second requirement necessitates a strategy that periodically updates the rate that departures pushback from their gates. We model the runway system as a semi-Markov process using surface surveillance data. We use this modeling framework to derive optimal pushback policies to control congestion. Finally, we present the results of the real-world implementation and field testing of this control protocol at Boston Logan International Airport.

United States. Federal Aviation Administration (United States. Air Force Contract FA8721-05-C-0002)

Document type: Conference object

Full document

The URL or file path given does not exist.

Original document

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

https://orcid.org/0000-0002-8624-7041 under the license cc-by-nc-sa
https://academic.microsoft.com/#/detail/2061086953 under the license http://creativecommons.org/licenses/by-nc-sa/3.0/
Back to Top

Document information

Published on 01/01/2012

Volume 2012, 2012
DOI: 10.1109/acc.2012.6315592
Licence: Other

Document Score


Views 1
Recommendations 0

Share this document


claim authorship

Are you one of the authors of this document?