2005
DOI: 10.2514/atcq.13.3.231
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Effect of Surface Surveillance Data Sharing on FedEx Operations at Memphis International Airport

Abstract: (NASA) project. We first use an unexpected loss of surface surveillance data as an opportunity to gauge impacts. The analysis measures changes in taxi-out times, queue lengths, and departure rates before, during, and after the surveillance outage. We repeat the analysis comparing a baseline period before implementation of surface surveillance with a postimplementation period. Analyses of both data sets displays a reduction in taxi-out times and indicates an increase in effective departure capacity (approximate… Show more

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“…While we hope to measure changes in taxi times because of surface changes (runway and ASDE-X), we are certain that the taxi times are also heavily influenced by demand and weather. 2,3,4 The first step in any taxi time analysis will be to isolate taxi time data with like traffic and weather conditions for periods before and after the change.…”
Section: Methodsmentioning
confidence: 99%
“…While we hope to measure changes in taxi times because of surface changes (runway and ASDE-X), we are certain that the taxi times are also heavily influenced by demand and weather. 2,3,4 The first step in any taxi time analysis will be to isolate taxi time data with like traffic and weather conditions for periods before and after the change.…”
Section: Methodsmentioning
confidence: 99%
“…The non-ACARS takeoff and landing times in ASPM are estimates based on actual flight track data and are quite accurate. However, the gate in and out times for non-ACARS flights are based on historical averages and may be incorrect by several minutes for a particular flight (Howell, 2005). For analyses involving taxi times, we do not use all the ASPM taxi times recorded in the database, only those that have verified ARINC OOOI data.…”
Section: Aspm Operational Datamentioning
confidence: 99%