Strategic Decision Support for Airside Operations at Commercial Airports

Smith, L. Douglas; Ehmke, Jan Fabian; Mattfeld, Dirk C.; Waning, Raimund; Hellmann, Laura

doi:10.1007/978-3-319-11421-7_9

Cited by 6 publications

(4 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Seeking a productive balance between realism and analytical efficiency, Smith et al [40,41] have simulated flight and ground operations at individual airports as processes involving entities (aircraft) in networks of staged queues with two-dimensional geo-spatial characteristics. They take into account the ways that aircraft can be maneuvered in tight areas on the airport surface and procedures employed by air traffic control (ATC) to regulate traffic flows.…”

Section: Related Researchmentioning

confidence: 99%

Modelling Airline Operations at Major Commercial Airports for Strategic Decision Support

Smith,

Bilir

2023

tdr

View full text Add to dashboard Cite

The authors discuss an integrated modelling approach for improving flight operations at major commercial airports. Statistical models, built with microdata from hundreds of thousands of flights, are embedded in a process-oriented discrete-event simulation model with two-dimensional geo-spatial characteristics and logical structures based on the concept of staged queues. With results from three application settings, the authors illustrate the wealth of information that this modelling framework can provide for collaborative planning of airport infrastructure and flight operations. Novels about this work are (1) the use of microdata to construct multivariate statistical models for delay propagation at the focal airport and their use to provide time-dependent and situation-dependent parameters for stochastic behaviour in the simulation model, (2) rigorous validation of the simulation model against historical performance, and (3) creation of an integrated analytical platform for strategic decision support.

show abstract

Section: Related Researchmentioning

confidence: 99%

Modelling Airline Operations at Major Commercial Airports for Strategic Decision Support

Smith,

Bilir

2023

tdr

View full text Add to dashboard Cite

show abstract

“…To investigate the effects of altering an airport's infrastructure and operating practices, Smith et al simulated flight and ground operations at individual airports as processes involving entities (aircraft) in networks of staged queues with a two-dimensional geospatial representation (6). They embeded multivariate statistical models in the simulation model to impose systematic (timedependent and entity-dependent) variation in ''airside'' flight operations (movements of aircraft).…”

Section: Related Literaturementioning

confidence: 99%

“…As they strive to optimize airport operations, these stakeholders need to consider the stochastic nature of interactions among their spheres of operation. Smith et al assert that this can be done effectively for strategic studies by modeling airside operations at commercial airports as two-dimensional spatial networks with staged queues (6).…”

mentioning

confidence: 99%

Study of the Potential Effects of Gate-Hold Strategies on Arrival and Departure Operations at Charlotte Douglas International Airport

Smith

Bilir

2022

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

We employed discrete-event simulation with embedded multivariate statistical models for time and situation-dependent parameters to study the potential impact of regulating the release of planes from their terminal gates in peak periods to reduce congestion on ramps and taxiways at Charlotte Douglas International Airport, a major U.S. hub for of the world’s largest airline, American Airlines. Gate-holding strategies are one of several operational strategies to reduce aviation’s carbon footprint. They have been shown to reduce fuel consumption, air pollution, and greenhouse gas emissions, but past studies have concentrated on taxi times and fuel consumption of outbound aircraft without considering the potential disruptions on inbound traffic, which may be blocked from reaching their intended gates. We verified that reductions in outbound taxi times could be achieved without delaying the times when planes lifted off for departure but, depending on the gate-hold rules employed and the intensity of flight operations, more delays and gate changes occurred for arriving aircraft. Our models allow intensive examination of the tradeoffs involved in improving system performance with various strategies.

show abstract

“…In developing our models, we strive to capture the essential interactions of key system components, represent the system with sufficient granularity, and facilitate the efficient conduct of experiments with multiple replications of a wide range of planning scenarios and operating rules. The integrative conceptual framework is the representation and control of the system as a network of staged queues [12,21,22].…”

Section: Introductionmentioning

confidence: 99%

Application of Discrete-Event Simulation to Capacity Planning at a Commercial Airport

Smith

Liang

Wang

et al. 2015

Lecture Notes in Computer Science

Self Cite

View full text Add to dashboard Cite

Abstract. We describe the construction, calibration and application of a discrete-event simulation model to estimate the potential effects of changes in airport infrastructure, operating procedures, and traffic intensity upon system performance. Logistic and regression models provide time-varying parameters for probability distributions used for physical processes. Detailed event logs of simulated aircraft activity and corresponding logs of actual aircraft operations allow us to validate the model and analyze the effects of normal disruptions and extraordinary events. With multivariate statistical analysis, we assess the influence of design capacity, airline scheduling practices and uncontrollable events on flight delays. We also estimate the effects of selectively removing airport assets from service for major maintenance.

show abstract

Strategic Decision Support for Airside Operations at Commercial Airports

Cited by 6 publications

References 23 publications

Modelling Airline Operations at Major Commercial Airports for Strategic Decision Support

Modelling Airline Operations at Major Commercial Airports for Strategic Decision Support

Study of the Potential Effects of Gate-Hold Strategies on Arrival and Departure Operations at Charlotte Douglas International Airport

Application of Discrete-Event Simulation to Capacity Planning at a Commercial Airport

Contact Info

Product

Resources

About