Wind Information Uplink to Aircraft Performing Interval Management Operations

Ahmad, Nashat N.; Barmore, Bryan E.; Swieringa, Kurt A.

doi:10.2514/6.2015-3398

Cited by 2 publications

(2 citation statements)

References 5 publications

(2 reference statements)

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“…Such algorithms provide a simple and fast approach to find solutions to large set problems and are used in many disciplines. A similar approach was adopted by Ahmad et al in their descent forecast selection [6] with a different cost function. These algorithms, as with many search techniques, do not guarantee a globally optimal solution for all problem types and this is consistently true for the cases studied here.…”

Section: E Datalink Forecast Selectionmentioning

confidence: 91%

Methods of Selecting Forecast Winds for Flight Management Systems to Support Four Dimensional Trajectory-Based Operations

Jones

McPartland

Reynolds

et al. 2016

16th AIAA Aviation Technology, Integration, and Operations Conference

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Wind forecast information plays a significant role in aircraft trajectory estimation by an aircraft's Flight Management System (FMS) and therefore how well aircraft perform Four Dimensional Trajectory-Based Operations (4D-TBO) which specify a Required Time-ofArrival (RTA) at a meter fix. The majority of Flight Management Systems (FMS) in use today have the ability to enter up to four forecasts associated with the descent phase of flight and airlines typically use simple algorithms to select the wind profiles to determine values to enter into those fields. This work explores the impact on RTA performance of enhanced wind information representation in the FMS, specifically (1) improved wind profile selections to better represent descent conditions, and (2) expanding the number of wind forecast entry levels in the FMS from four to nine. Results show that under the conditions tested, there are no operationally-significant differences between the different combinations, but they all offer far superior performance with any reasonable forecast selection technique compared to no forecast data. However, the impact of procedural speed constraints appears to have a relatively large impact on resulting RTA performance. Future work is planning to expand the scenarios tested to develop more generalized conclusions.

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Section: E Datalink Forecast Selectionmentioning

confidence: 91%

Methods of Selecting Forecast Winds for Flight Management Systems to Support Four Dimensional Trajectory-Based Operations

Jones

McPartland

Reynolds

et al. 2016

16th AIAA Aviation Technology, Integration, and Operations Conference

View full text Add to dashboard Cite

show abstract

“…In another example, a recent flight Interval Management (IM) experiment design [8] called for ten wind scenarios to be selected and used for flight simulations involving varying combinations of three IM routes to PHX airport. The metric of interest for these scenarios was the 2-hour wind forecast headwind error magnitudes.…”

Section: Figure 8 Example Wind Scenario Classification Based On Headmentioning

confidence: 99%

Use of Numerical Weather Prediction Models for NextGen ATC Wind Impact Studies (Invited)

Troxel

Reynolds

2015

7th AIAA Atmospheric and Space Environments Conference

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The ability to successfully achieve NextGen navigation procedures such as 4D-Trajectory Based Operations (4D-TBO) and Interval Management (IM) is dependent on the characteristics of the wind environments in which they are conducted as well as the quality of wind forecasts utilized by ground-based and airborne systems. In order to quantify the feasibility of such procedures, sensitivity analyses are commonly conducted using real or fast-time flight simulations with input from wind scenarios constructed from actual or simulated winds and wind forecasts. It is important to provide wind scenario inputs that are realistic and representative with regard to the key characteristics and metrics for the procedure being evaluated. Furthermore, it is important to translate the wind error tolerances determined from the sensitivity analyses to current or expected operational wind forecast model capabilities. This paper describes methods for utilizing data from current numerical weather prediction models to construct wind scenarios for NextGen wind impact studies and presents results of a wind forecast model performance study that can be used to translate error tolerances to achievable forecast model capabilities.

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Wind Information Uplink to Aircraft Performing Interval Management Operations

Abstract: Interval Management (IM) is an ADS-B-enabled suite of applications that use ground and flight deck capabilities and procedures designed to support the relative spacing of aircraft (

Cited by 2 publications

References 5 publications

Methods of Selecting Forecast Winds for Flight Management Systems to Support Four Dimensional Trajectory-Based Operations

Methods of Selecting Forecast Winds for Flight Management Systems to Support Four Dimensional Trajectory-Based Operations

Use of Numerical Weather Prediction Models for NextGen ATC Wind Impact Studies (Invited)

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