Effect of Surface Surveillance Data Sharing on FedEx Operations at Memphis International Airport

Howell, Dan

doi:10.2514/atcq.13.3.231

Cited by 2 publications

(2 citation statements)

References 2 publications

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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%

Using Surface Demand Trends to Evaluate Multiple Airport Surface Initiatives

Howell¹,

Flanders²,

Shema³

2007

7th AIAA ATIO Conf, 2nd CEIAT Int'l Conf on Innov and Integr in Aero Sciences,17th LTA Systems Tech Conf; Followed by 2nd TEOS

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One of the major difficulties in performing post-implementation analysis for an initiative is the lack of control over the environment. Many times, multiple initiatives are being attempted simultaneously and it is difficult to attribute operational impacts to specific programs. In this paper, we examine the taxi time and departure rate impacts of two recent enhancements at Orlando International Airport (MCO): a new runway and enhanced Air Traffic Control surface surveillance through the Airport Surface Detection Equipment-Model X (ASDE-X). Both enhancements have had positive effects on surface efficiency; however, each initiative exhibits unique impact characteristics when examined in relation to the surface demand. More specifically, plots of taxi-out time and departure rate vs. surface demand show quite different behaviors. We interpret the results and believe similar analysis should be useful for refining the estimated benefits of other ASDE-X sites and predicting the impact of future surface initiatives. The suggested methodology of examining the different trend characteristics of a metric in relation to demand should provide a valuable method for future post-implementation analysis.

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Section: Methodsmentioning

confidence: 99%

Using Surface Demand Trends to Evaluate Multiple Airport Surface Initiatives

Howell¹,

Flanders²,

Shema³

2007

7th AIAA ATIO Conf, 2nd CEIAT Int'l Conf on Innov and Integr in Aero Sciences,17th LTA Systems Tech Conf; Followed by 2nd TEOS

Self Cite

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“…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%

Evidence for the Relationship between Pilot Effectiveness, Surface Anomalies, and Operational Efficiency Data

Howell¹,

Borener²

2013

Proceedings of the 2nd International Conference on Operations Research and Enterprise Systems

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To justify an investment in a safety-related program, the U.S. Federal Aviation Administration must develop a business justification with a positive return on investment. While the assumed value of an avoided aviation accident is quite large, the rarity of such events many times makes a business case built strictly on safety metrics untenable. It is therefore helpful to examine if there are efficiency or capacity impacts related to the investment. One area of interest to the aviation safety community is fatigue and pilot effectiveness. Previous research has examined the connection between operator fatigue and accident frequency. In this study, we examine the relationships between pilot effectiveness, measured surface anomalies, and archived operational efficiency data at Atlanta Hartsfield-Jackson International Airport and Memphis International Airport to provide evidence to support future taxi path conformance or crew rest requirement investments.

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Effect of Surface Surveillance Data Sharing on FedEx Operations at Memphis International Airport

Cited by 2 publications

References 2 publications

Using Surface Demand Trends to Evaluate Multiple Airport Surface Initiatives

Using Surface Demand Trends to Evaluate Multiple Airport Surface Initiatives

Evidence for the Relationship between Pilot Effectiveness, Surface Anomalies, and Operational Efficiency Data

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