An evaluation of the impact of wake vortex re-categorization: The case of Charlotte Douglas International airport (CLT)

Diana, Tony

doi:10.1016/j.tra.2018.01.013

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…In this context, it is thought that RECAT-EU will increase the runway utilization efficiency up to 5% or more on busy days at airports, and this recommendation is also supported by the European Aviation Safety Agency (EASA). 8,13,14,[16][17][18][19] Characterization of WV circulation decay under the reasonable worst case (RWC) conditions (i.e., in conditions such that the decay of the vortices is slow so that one observes long lasting wakes), allows the separation minima to be found safely. RECAT-EU has presented a methodology that demonstrates the characterization of WV decay circulation under RWC conditions based on the results of three experimental LIDAR (Light Detection And Ranging) databases.…”

Section: Introductionmentioning

confidence: 99%

Characterization modeling of wake vortex circulation decay under reasonable worst case conditions with cuckoo search algorithm

Oruc,

Baklacioglu,

Sahin

2024

Proceedings of the Institution of Mechanical Engineers, Part G:

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Wake vortex (WV) produced by a large aircraft has the potential to cause serious damage to smaller aircraft following it. In this context, characterization of WV circulation decay under the reasonable worst case (RWC) conditions allows the separation minima to be found safely. In this study, modeling of dimensionless decay curves, which were developed using three experimental LIDAR (Light Detection and Ranging) datasets in the RECAT-EU project and is a useful tool to characterize the wake vortex circulation decay under RWC conditions, was carried out using cuckoo search algorithm (CSA). The decay curves used in the modeling are the median (P50), 10th (P10), and 90th (P90) percentile decay curves of the RWC tracks, which constitute the top 2% longest lasting wakes. The fact that the correlation coefficient (R) values are very close to 1 for all datasets as a result of the error analysis shows that the prediction success of the CSA model is quite high.

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Section: Introductionmentioning

confidence: 99%

Characterization modeling of wake vortex circulation decay under reasonable worst case conditions with cuckoo search algorithm

Oruc,

Baklacioglu,

Sahin

2024

Proceedings of the Institution of Mechanical Engineers, Part G:

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Impact of Off-Block Time Uncertainty on the Control of Airport Surface Operations

Badrinath

Balakrishnan

Joback

et al. 2020

Transportation Science

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Congestion at major airports worldwide results in increased taxi times, fuel burn, and emissions. Regulating the pushback of aircraft from their gates, also known as departure metering, is a promising approach to mitigating surface congestion. Departure metering algorithms require models of airport surface traffic and knowledge of when a flight would be to be ready for pushback, which is called the earliest off-block time (EOBT). While EOBTs are known to be inaccurate due to several reasons, there has been little prior research on characterizing EOBT uncertainty and its impact on departure metering. We present a new class of queuing network models for the airport surface that are capable of capturing congestion at multiple locations. We demonstrate our modeling approach using operational data from three major U.S. airports: Newark Liberty International Airport, Dallas/Fort Worth International Airport, and Charlotte Douglas International Airport. We analyze the current levels of uncertainty in the EOBT information published by the airlines and conduct a parametric analysis of the reduction in departure metering benefits due to errors in the EOBT information. Our analysis indicates that the current levels of EOBT uncertainty lead to a 50% reduction in benefits at some airports when compared with an ideal case with no EOBT uncertainty. Two approaches to departure metering are considered: the National Aeronautics and Space Administration’s Airspace Technology Demonstration-2 logic and a new optimal control approach. We show that our queuing network models can help design and evaluate both approaches and that the optimal control approach is more effective in accommodating EOBT uncertainty while maintaining runway utilization.

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Integrated Surface–Airspace Model of Airport Departures

Badrinath

Balakrishnan

2019

Journal of Guidance, Control, and Dynamics

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An evaluation of the impact of wake vortex re-categorization: The case of Charlotte Douglas International airport (CLT)

Cited by 3 publications

References 9 publications

Characterization modeling of wake vortex circulation decay under reasonable worst case conditions with cuckoo search algorithm

Characterization modeling of wake vortex circulation decay under reasonable worst case conditions with cuckoo search algorithm

Impact of Off-Block Time Uncertainty on the Control of Airport Surface Operations

Integrated Surface–Airspace Model of Airport Departures

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