Design and simulation of airport congestion control algorithms
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Balakrishnan_Design and.pdf
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Author(s) •
Simaiakis, Ioannis
Balakrishnan, Hamsa
Date Issued
June 2014
Journal
Proceedings of the 2014 American Control Conference
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Simaiakis, Ioannis, and Hamsa Balakrishnan. “Design and Simulation of Airport Congestion Control Algorithms.” 2014 American Control Conference (June 2014).
Version
Author's final manuscript
Abstract
This paper proposes a stochastic model of runway departures and a dynamic programming algorithm for their control at congested airports. Using a multi-variable state description that includes the capacity forecast, the runway system is modeled as a semi-Markov process. The paper then introduces a queuing system for modeling the controlled departure process that enables the efficient calculation of optimal pushback policies using decomposition techniques. The developed algorithm is simulated at Philadelphia International Airport, and compared to other potential control strategies including a threshold-policy. The algorithm is also shown to effectively adapt to changes in airport departure capacity, maintain runway utilization and efficiently manage congestion.
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
https://doi.org/10.1109/ACC.2014.6859480