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- 2Ground Delay Program (GDP)
- 1Airfield Capacity Model (ACM)
- 1Airport Capacity
- 1Aviation Systems Performance Metrics (ASPM)
- 1GDP Performance
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2019-11-12
This study introduces a novel method of merging disparate but complementary datasets and applying machine learning techniques to ground delay program (GDP) data. More specifically, it aims to characterize GDPs with respect to changing weather forecasts, GDP plan parameters, and operational...
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2019-11-12
Kim, A., Rokib, S. A., Liu, Y.
This paper presents a method for obtaining airfield capacity estimates, using historical data from the Federal Aviation Administration’s Aviation Systems Performance Metrics (ASPM) database. The process first involves merging individual flights and quarter-hour airport runway operations datasets...
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2019-11-12
Many runway capacity estimation models are available today, and developers usually claim that their models have been validated. However, information about the validation process is often limited, and different models are validated at differing levels of complexity. This paper proposes two...