Metrics to Characterize Airport Operational Performance Using Surface Surveillance Data
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Balakrishnan_Metrics to.pdf
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689.28 KB
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Author(s)
Khadilkar, Harshad Dilip
Balakrishnan, Hamsa
Date Issued
August 2013
Journal
Air Traffic Control Quarterly
Publisher
Air Traffic Control Association
Citation
Khadilkar, Harshad, and Hamsa Balakrishnan. "Metrics to Characterize Airport Operational Performance using Surface Surveillance Data." Air Traffic Control Quarterly, Volume 21, Number 2, August 2013.
Version
Original manuscript
Abstract
Detailed surface surveillance datasets from sources such as the Airport Surface Detection Equipment, Model-X (ASDE-X) have the potential to be used for the analysis of airport operations, in addition to their primary purpose of enhancing safety. This paper describes how surface surveillance data can be used to measure airport performance characteristics in three different ways: (1) Characterization of surface flows, including identification of congestion hotspots, queue dynamics and departure throughput ; (2) Development of metrics to evaluate the daily operational performance; and (3) Development of metrics to gauge long-term performance across different runway configurations and operating conditions. The proposed metrics have been developed with active feedback from operations personnel at Boston Logan International Airport, and are therefore evaluated and discussed using this airport as an example. These metrics can provide useful feedback on operational performance to airport operators, and therefore have the potential to improve the efficiency of surface operations at airports.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
http://www.atca.org/air-traffic-control-quarterly
