Development and Evaluation of Market-Based Traffic Flow Management Concepts

Gao, Huina; Hunter, George; Berardino, Frank; Hoffman, Karla

doi:10.2514/6.2010-9246

Cited by 5 publications

References 1 publication

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Estimating domestic US airline cost of delay based on European model

Ferguson

Kara

Hoffman

et al. 2013

Transportation Research Part C: Emerging Technologies

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Abstract-In this paper, we detail a method for calculating the cost of delays to an airline. The approach extends a EU report that calculated delays for three alternative scenarios (low cost, baseline costs and high costs) and for short delays (under 15 minutes) and long delays (over 65 minutes). Our extension to this report determines the factors that make up the multipliers presented in that report. We next apply the individual cost factor delays to US data. The approach allows one to update the cost whenever any of the factors (crew, fuel, maintenance, ground costs) change. It considers the size of the aircraft when making such calculations, both from the perspective of fuel burn and passenger costs. Our validation methodology evaluates how close our data come to that presented in their report when a conversion is made from dollars to Euros and applies 2003 cost data. Data for Philadelphia airport (PHL) is displayed as a case study to show current delay costs.

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Estimating domestic US airline cost of delay based on European model

Ferguson

Kara

Hoffman

et al. 2013

Transportation Research Part C: Emerging Technologies

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NAS-wide traffic flow management concept using required time of arrival, separation assurance and weather routing

Hunter¹,

Boisvert²,

Smith

et al. 2012

2012 IEEE/AIAA 31st Digital Avionics Systems Conference (DASC)

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Building a human-in-the-loop simulation of market-based traffic flow management

Escala¹

2011

2011 Integrated Communications, Navigation, and Surveillance Conference Proceedings

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Human-in-the-loop (HITL) simulations can be invaluable in the study of traffic flow management concepts. However, the design and execution of HITL experiments is often very challenging and riskprone. In our market-based Traffic Flow Management (TFM) research, we develop an approach to developing HITL simulations that leads to effective experiments that yield great results, while reducing programmatic risk.The software used for the HITL experiment is developed using the Probabilistic NAS Platform (PNP). The architecture of PNP allows software clients, representing various National Airspace System (NAS) elements, to interact with real-world NAS data provided by the PNP server.The architecture of PNP allows clients to be distributed across a network, such as the Internet. This flexibility allows HITL study participants to be located anywhere in the world, provided Internet access is available. This was a requirement for our simulation, in which participants would be participating from various locations.In addition to software risk, we also tackle user acceptance challenges. HITL experiment results can be detrimentally skewed by participants who are not fully engaged in the simulation. In this study, we incorporate a feedback solicitation process into our project planning mechanism.The development of HITL simulations, while challenging and risk-prone, can provide insights that cannot be derived from automated, fast-time simulations. The approach discussed here can lead to the rapid development of robust software that engages users and collection of useful results.

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Development and Evaluation of Market-Based Traffic Flow Management Concepts

Cited by 5 publications

References 1 publication

Estimating domestic US airline cost of delay based on European model

Estimating domestic US airline cost of delay based on European model

NAS-wide traffic flow management concept using required time of arrival, separation assurance and weather routing

Building a human-in-the-loop simulation of market-based traffic flow management

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