Measuring the Impact of Surface Surveillance Data Sharing on Day-to-day Surface Operations

Howell, Dan; Fontaine, Paul; Ritchey, Steve

doi:10.2514/6.2004-6239

Cited by 7 publications

(4 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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

Self Cite

View full text Add to dashboard Cite

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.

show abstract

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

View full text Add to dashboard Cite

show abstract

“…Early experiments show significant operational improvements enabled by airport surface surveillance technologies. Howell et al [45], for example, directly measure the impact of surveillance data sharing on surface operations at Memphis International Airport in Tennessee and at Detroit Metropolitan Wayne County Airport in Michigan. They show that surface surveillance data made available to ground controllers directly lead to shorter taxi times.…”

Section: E New Surface Surveillance Informationmentioning

confidence: 99%

Valuating Surface Surveillance Technology for Collaborative Multiple-Spot Control of Airport Departure Operations

Burgain¹,

Kim²,

Féron³

2014

IEEE Trans. Intell. Transport. Syst.

View full text Add to dashboard Cite

Airport departure operations are a source of airline delays and passenger frustration. Excessive surface traffic is a cause of increased controller and pilot workload. It is also a source of increased emissions and delays, and it does not yield improved runway throughput. Leveraging the extensive past research on airport departure management, this paper explores the environmental and safety benefits that improved surveillance technologies can bring in the context of gate-or spot-release strategies. This paper shows that improved surveillance technologies can yield a 4%-6% reduction of the average number of aircraft on the taxiway system during congested operations, and therefore emissions, in addition to the savings currently observed by implementing threshold-based metering strategies under evaluation at Boston's Logan Airport and other busy airports during congested periods. These calculated benefits contrast sharply with our previous work, which relied on simplified airport ramp areas with a single departure spot and where fewer environmental and economic benefits of advanced surface surveillance systems could be established. Our work is illustrated by its application to New York's LaGuardia and Seattle-Tacoma airports in Washington.Index Terms-Airport departure operations, departure management, optimization, surface surveillance.

show abstract

“…Early experiments show significant operational improvements enabled by airport surface surveillance technologies. Howell et al [28], for example, directly measure the impact of surveillance data sharing on surface operations at Memphis International Airport and at Metropolitan Wayne County Airport. They show that surface surveillance data made available to ground controllers directly lead to shorter taxi times.…”

Section: New Surface Surveillance Informationmentioning

confidence: 99%

Environmental benefits of enhanced surveillance technology on airport departure operations

Burgain,

Feron

2011

Preprint

View full text Add to dashboard Cite

Airport departure operations constitute an important source of airline delays and passenger frustration. Excessive surface traffic is the cause of increased controller and pilot workload; It is also the source of increased emissions; It worsens traffic safety and often does not yield improved runway throughput. Acknowledging this fact, this paper explores some of the feedback mechanisms by which airport traffic can be optimized in real time according to its current degree of congestion. In particular, it examines the environmnetal benefits that improved surveillance technologies can bring in the context of gate-or spot-release aircraft strategies. It is shown that improvements can lead yield 4% to 6% emission reductions for busy airports like New-York La Guardia or Seattle Tacoma. These benefits come on top of the benefits already obtained by adopting threshold strategies currently under evaluation.

show abstract

Measuring the Impact of Surface Surveillance Data Sharing on Day-to-day Surface Operations

Cited by 7 publications

References 1 publication

Using Surface Demand Trends to Evaluate Multiple Airport Surface Initiatives

Using Surface Demand Trends to Evaluate Multiple Airport Surface Initiatives

Valuating Surface Surveillance Technology for Collaborative Multiple-Spot Control of Airport Departure Operations

Environmental benefits of enhanced surveillance technology on airport departure operations

Contact Info

Product

Resources

About