Simulation-based Benefits and Costs Assessment of NASA's Airspace Technology Demonstration-2

Saraf, Aditya; Popish, Martin; Sui, Valerie; Luch, Natasha; Rose, Marc; Levy, Benjamin; Cardillo, Jamie; Balakrishnan, Hamsa; Badrinath, Sandeep; Coppenbarger, Richard A.

doi:10.1109/dasc.2018.8569626

Cited by 1 publication

(2 citation statements)

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“…For non-metered flights, the TTOT can be calculated as given in (7). Basically, the TTOT is the sum of EOBT and UTT, but when the EOBT has already passed, the latest flight ready time (readyT), which is the same as the current time in the simulation, is used instead of EOBT to calculate the TTOT.…”

Section: ) Target Takeoff Time Compliance and Predictabilitymentioning

confidence: 99%

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Fast-Time Simulation for Evaluating the Impact of Estimated Flight Ready Time Uncertainty on Surface Metering

Lee

Jung

Zelinski

et al. 2019

2019 IEEE/AIAA 38th Digital Avionics Systems Conference (DASC)

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NASA has been developing and demonstrating new concepts and technologies for Integrated Arrival, Departure, and Surface (IADS) traffic management capabilities under the Airspace Technology Demonstration 2 (ATD-2) project. One of the IADS capabilities in the ATD-2 project is surface metering enabled by a tactical surface scheduler to provide controllers with the pushback advisories for departures at gates. The tactical surface scheduler uses the estimated flight ready times provided by airlines, called Earliest Off-Block Times (EOBTs), as input to calculate the target off-block times for pushback advisories. However, the EOBTs are often inaccurate and deviate from the actual flight ready times, which may reduce the benefits of surface metering. In this paper, a linear regression model is developed to model the EOBT uncertainty distribution over time based on actual EOBT data collected at Charlotte airport. This EOBT model is integrated with a tactical surface scheduler and a fasttime simulation tool. To evaluate the impact of the EOBT accuracy on airport surface operations, fast-time simulations are implemented for selected traffic scenarios under different levels of modelled EOBT accuracy. The simulation results show that the EOBT uncertainty affects several performance metrics related to the surface metering, such as gate hold, taxi time reduction, and target takeoff time predictability, which in turn influences ATD-2's scheduler performance.

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Section: ) Target Takeoff Time Compliance and Predictabilitymentioning

confidence: 99%

“…SOSS fast-time simulations were used to determine the effect of the taxi time delay buffer on the performance of the tactical surface scheduler used in the ATD-2 project [6]. SOSS was also utilized to assess the benefits and costs of the ATD-2 concept operations at several busy airports [7].…”

Section: Introductionmentioning

confidence: 99%