Modeling and control of airport queueing dynamics under severe flow restrictions

Francis Carr; Antony Evans; John Paul Clarke; Eric Feron

doi:10.1109/ACC.2002.1023202

Modeling and control of airport queueing dynamics under severe flow restrictions

Francis Carr, Antony Evans, John Paul Clarke, Eric Feron

Research output: Contribution to journal › Article › peer-review

34 Scopus citations

Abstract

Based on field observations and interviews with controllers at BOS and EWR, we identify the closure of local departure fixes as the most severe class of airport departure restrictions. A set of simple queueing dynamics and "traffic rules" are developed to model departure traffic under such restrictions. The validity of the proposed model is tested via Monte Carlo simulation against 10 hours of actual operations data collected during a case-study at EWR on June 29, 2000. In general, the model successfully reproduces the aggregate departure congestion. An analysis of the average error over 40 simulation runs indicates that flow-rate restrictions also significantly impact departure traffic; work is underway to capture these effects. Several applications and "what-if" scenarios are discussed for future evaluation using the calibrated model.

Original language	English (US)
Pages (from-to)	1314-1317
Number of pages	4
Journal	Proceedings of the American Control Conference
Volume	2
DOIs	https://doi.org/10.1109/ACC.2002.1023202
State	Published - Jan 1 2002
Externally published	Yes

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10.1109/ACC.2002.1023202

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title = "Modeling and control of airport queueing dynamics under severe flow restrictions",

abstract = "Based on field observations and interviews with controllers at BOS and EWR, we identify the closure of local departure fixes as the most severe class of airport departure restrictions. A set of simple queueing dynamics and {"}traffic rules{"} are developed to model departure traffic under such restrictions. The validity of the proposed model is tested via Monte Carlo simulation against 10 hours of actual operations data collected during a case-study at EWR on June 29, 2000. In general, the model successfully reproduces the aggregate departure congestion. An analysis of the average error over 40 simulation runs indicates that flow-rate restrictions also significantly impact departure traffic; work is underway to capture these effects. Several applications and {"}what-if{"} scenarios are discussed for future evaluation using the calibrated model.",

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AB - Based on field observations and interviews with controllers at BOS and EWR, we identify the closure of local departure fixes as the most severe class of airport departure restrictions. A set of simple queueing dynamics and "traffic rules" are developed to model departure traffic under such restrictions. The validity of the proposed model is tested via Monte Carlo simulation against 10 hours of actual operations data collected during a case-study at EWR on June 29, 2000. In general, the model successfully reproduces the aggregate departure congestion. An analysis of the average error over 40 simulation runs indicates that flow-rate restrictions also significantly impact departure traffic; work is underway to capture these effects. Several applications and "what-if" scenarios are discussed for future evaluation using the calibrated model.

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Modeling and control of airport queueing dynamics under severe flow restrictions

Abstract

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