Assessing Wind Impacts on Flight Interval Management Performance

Sandberg, Melanie; Reynolds, Tom; McPartland, Michael; Troxel, Seth; Glina, Yan

doi:10.2514/6.2013-4406

Cited by 4 publications

(2 citation statements)

References 1 publication

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“…Since the motivating research question pertained to aircraft-derived data density, validity requirements were outside the scope of the model. It is worth mentioning that significant effort is being conducted to define the level of data accuracy required by a variety of application areas turning to aircraft-derived data for decision-making [12,15,16,17].…”

Section: Sensor Measurement Errorsmentioning

confidence: 99%

Applying improved wind and aircraft performance data in wake procedure concepts

Audenaerd

Lunsford

2014

2014 Integrated Communications, Navigation and Surveillance Conference (ICNS) Conference Proceedings

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As NextGen concepts seek increasing airport throughput, separation from naturally occurring wake turbulence becomes a limiting factor in the pursuit of capacity improvements in many cases. In recent years, the implementation of fixed procedural changes that reduce wake separations while maintaining safety have been very successful. Further opportunities for reducing wake constraints have led to exploiting specific meteorological conditions to mitigate wake hazards. As an example, one such program, entitled Wake Turbulence Mitigation for Departures, ensures safe reduction of successive departure separations based on dynamic crosswind conditions. Availability of these conditions, however, is limited by the abilities of the wind detection system -its sensing ability, data reliability and forecasting accuracy. Recent efforts are addressing these limitations by exploring how the use of better knowledge of wind and aircraft performance can increase availability or enable the design of further wake turbulence mitigation arrival and departure procedures. Additionally, recent advancements in aircraft flight track data assimilation have led to a deeper understanding of aircraft operational behavior during landing and take-off cycles. The confluence of these efforts is currently being leveraged to develop more sophisticated wake mitigation applications.This paper provides an overview of recent progress in developing broad data access and collection of weather and aircraft positional data; prospective applications that would leverage these data; and the relationship between the data density, or supply-side, requirements and the associated application demand needs.

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Section: Sensor Measurement Errorsmentioning

confidence: 99%

Applying improved wind and aircraft performance data in wake procedure concepts

Audenaerd

Lunsford

2014

2014 Integrated Communications, Navigation and Surveillance Conference (ICNS) Conference Proceedings

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“…Because the motivating research question pertained to aircraft-derived data density, validity requirements were outside the scope of this analysis. It is worth mentioning that significant effort is being conducted to define the level of data accuracy required by a variety of application areas turning to aircraft-derived data for decision making (24,(26)(27)(28).…”

Section: Sensor Measurement Errorsmentioning

confidence: 99%

Estimating Approach Path Coverage of Aircraft-Derived Meteorological Data in Advanced Air Traffic Management Applications

Audenaerd

2014

Transportation Research Record: Journal of the Transportation R

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If appropriately equipped, aircraft traveling throughout the global air space have the unique capability to measure and report high-resolution meteorological data, under all weather conditions. These data can have high economic value for both aviation and nonaviation uses by communicating a dense picture of weather conditions from thousands of ad hoc sensors operating daily in the global air space over areas of an aviation operational interest. However, ensuring that the technology provides adequate levels of service and safety requires a clear understanding of system performance characteristics in conjunction with sensor and data link capabilities, broadcast frequencies, equipage rates, and operational service environment requirements. This paper explores the density of coverage as a measure of performance by presenting the problem as a stochastic area coverage model of a homogeneous dynamic wireless ad hoc sensor network. A model was developed to relate the density needs of various advanced air traffic management applications to the spatial and temporal coverage of aircraft-sensed meteorological data in the airport terminal area. A comprehensive experimental design is presented with varying aircraft equipage rates, message broadcast frequencies, coverage granularities, and traffic demand levels. Infrastructure and sensor limitations are included to capture some realism within the model. Results are determined by solving this variation on a traditional set covering model using Monte Carlo simulation techniques.

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Automatic interval management for aircraft based on dynamic fuzzy speed control considering uncertainty

Yuan

Pei

et al. 2023

Chinese Journal of Aeronautics

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Assessing Wind Impacts on Flight Interval Management Performance

Cited by 4 publications

References 1 publication

Applying improved wind and aircraft performance data in wake procedure concepts

Applying improved wind and aircraft performance data in wake procedure concepts

Estimating Approach Path Coverage of Aircraft-Derived Meteorological Data in Advanced Air Traffic Management Applications

Automatic interval management for aircraft based on dynamic fuzzy speed control considering uncertainty

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