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Skip to Search Results- 2Hansen, M.
- 2Kim, A.
- 1The authors would like to thank the Air Traffic Organization at the FAA, particularly Joe Post, Dan Murphy and Michael Wells, for sponsoring this work as well as providing invaluable insights and suggestions. We would also like to thank Dave Knorr at the FAA and Ken Wright at MITRE for their assistance.
- 1This work was sponsored by the Dwight D. Eisenhower Transportation Fellowship Program, as well as the Air Traffic Organization at the FAA. An early version of this paper was presented at the 3rd International Conference on Research in Air Transportation in Fairfax, Virginia. The authors would like to thank Joe Post, Michael Wells, and Dan Murphy at the FAA for providing invaluable insights and suggestions. The authors would also like to acknowledge Dave Knorr at the FAA, Ken Wright at MITRE, and Marc Rose at MCR for their assistance.
- 2New York
- 1ASPM
- 1Airport Runway Operations
- 1Aviation Systems Performance Metrics (ASPM) Database
- 1Capacity
- 1Counterfactual Delay Scenario
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2019-11-18
This paper introduces an empirically driven, nonparametric method to isolate and estimate the effects of demand and throughput changes to observed changes in flight delay. Classical queuing model concepts were used to develop a method by which an intermediate queuing scenario could be...
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Deconstructing delay: A non-parametric approach to analyzing delay changes in single server queuing systems
Download2019-11-12
This paper introduces an empirically driven, non-parametric method to isolate and estimate the effects that changes in demand and changes in throughput have on delay – in particular, arrival and departure flight delay at airport runways. Classical queuing model concepts were used to develop a...