The Metroplex Simulation Environment

Capozzi, Brian; Brinton, Matt; Churchill, Andrew; Atkins, Stephen

doi:10.1109/dasc.2013.6712528

Cited by 7 publications

(4 citation statements)

References 2 publications

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“…Sophisticated three-dimensional simulation models such as SIMMOD, which the Federal Aviation Administration maintains, the Total Airspace and Airport Modeller (TAAM), and the Multi-Agent Transport Simulation (MATSim) represent aircraft movements with remarkable realism, and have been used for decades to study air traffic control procedures and airport capacity [15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31] . Effectively, these models take a set of flight plans for individual aircraft, with a stipulated departure time, starting position and ending position; determine shortest paths in taxi networks; simulate the movement of the airplanes through taxiway systems to the assigned runway for take-off; simulate the flight in three dimensions from waypoint to waypoint; simulate the approach to an assigned runway; and simulate movements on taxiways to the destination gate.…”

Section: Related Researchmentioning

confidence: 99%

Modelling Airline Operations at Major Commercial Airports for Strategic Decision Support

Smith,

Bilir

2023

tdr

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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.

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Section: Related Researchmentioning

confidence: 99%

Modelling Airline Operations at Major Commercial Airports for Strategic Decision Support

Smith,

Bilir

2023

tdr

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“…Many modeling and simulation tools also have been developed for performance assessment when new techniques or concepts are introduced to the existing or future system. Fasttime simulation can be a highly-effective and cost-efficient mechanism for studying air traffic management concepts and technologies [10]. The US Joint Planning and Development Office (JPDO) analyzed NextGen capabilities related to highdensity operations [11] by using NAS-wide modeling and simulation tools integrated from a number of other modeling and simulation tools.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Saraf et al [12] used ACES to study the potential benefits of a Multi-Airport Departure Planner in the New York metroplex. The Metroplex Simulation Environment (MSE) is another platform that can be used to rapidly-assemble a purposebuilt simulation [10]. Clark conducted the simulation in the New York terminal area space using SIMMOD to assess the metroplex model [4].…”

Section: Literature Reviewmentioning

confidence: 99%

Correction: Measuring the Benefits of NextGen Metroplex in Convective Weather: Case Study of North Texas Metroplex

Zhang

Tang

Knorr

et al. 2018

2018 Aviation Technology, Integration, and Operations Conference

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A key component of the goals of the Next Generation Air Transportation System (NextGen) is to safely improve the efficiency of the National Airspace System (NAS) by enhancing inefficiency in metroplexes. Based on the use of precise satellitebased navigation, Time Based Flow Management (TBFM), and other advanced techniques and tools, the benefits of a metroplex have been identified through research, indicating that it is capable of making airspace more efficient with less queueing delay and more throughput. However, those studies focused only on operations in normal weather conditions; special weather conditions such as convection were not considered. This study investigated the quantitative impacts of a metroplex under representative operation conditions in convection. Investigations included identification of representative convective weather conditions, analysis of historical radar tracking data in a postmetroplex period, development of queuing system-based models of Terminal Radar Approach Control (TRACON) facility arrival operations with and without metroplex for the North Texas Metroplex, and simulations to evaluate airspace performance in terms of TRACON throughput and arrival delays. Simulation analyses showed an average 27% increase in TRACON throughput at a peak of 15 minutes, as well as 2.39 minutes saved per arrival flight at Dallas/Fort Worth International (DFW) and 1.65 minutes saved per arrival flight at and Dallas Love Field (DAL) when a metroplex is implemented in heavy demand. The increase in TRACON throughput and arrival time saved by a metroplex climbs as traffic grows; however, the increase reaches a limit when the amount of traffic reaches a certain point.

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“…Highly sophisticated simulation models have been used for decades to aid in the design of airports and simulate air traffic with remarkable realism [1,2,3,4,5,6,7,8,9,10,11,24]. These detailed engineering models are excellent for studying system behavior in microscopic detail but they carry enormous overhead for studies that are more strategic in nature.…”

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

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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.

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The Metroplex Simulation Environment

Cited by 7 publications

References 2 publications

Modelling Airline Operations at Major Commercial Airports for Strategic Decision Support

Modelling Airline Operations at Major Commercial Airports for Strategic Decision Support

Correction: Measuring the Benefits of NextGen Metroplex in Convective Weather: Case Study of North Texas Metroplex

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

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