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

Troxel, Seth; Reynolds, Tom

doi:10.2514/6.2015-2890

Cited by 4 publications

(2 citation statements)

References 4 publications

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“…In previous work, synthetic and forecast models were used to represent the atmosphere [5]. In this work, in order to maximize the fidelity of the simulations and to maximize the realism of the conditions applied to the simulations, aircraft-derived meteorological data reports from the Meteorological Data Collection and Reporting System (MDCRS) were used.…”

Section: A Meteorological and Flight Information Database System (Mamentioning

confidence: 99%

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: A Meteorological and Flight Information Database System (Mamentioning

confidence: 99%

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

Self Cite

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“…The calculation and exploitation of weather conditions and forecasts are actively researched topics, as the influence in the operational efficiency and in the accuracy of TOP reluts is recognised. For further detail, the reader may refer to [149].…”

Section: Atmosphere and Weathermentioning

confidence: 99%

Multi-objective optimisation of aircraft flight trajectories in the ATM and avionics context

Gardi

Sabatini

Ramasamy

2016

Progress in Aerospace Sciences

115

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The continuous increase of air transport demand worldwide and the push for a more economically viable and environmentally sustainable aviation are driving significant evolutions of aircraft, airspace and airport systems design and operations. Although extensive research has been performed on the optimisation of aircraft trajectories and very efficient algorithms were widely adopted for the optimisation of vertical flight profiles, it is only in the last few years that higher levels of integration were proposed for automated flight planning and rerouting functionalities of innovative Communication Navigation and Surveillance/Air Traffic Management (CNS/ATM) and Avionics (CNS+A) systems. In this context, the implementation of additional environmental targets and of multiple operational constraints introduces the need to efficiently deal with multiple objectives as part of the trajectory optimisation algorithm. This article provides a comprehensive review of Multi-Objective Trajectory Optimisation (MOTO) techniques for transport aircraft flight operations, with a special focus on the recent advances introduced in the CNS+A research context. In the first section, a brief introduction is given, together with an overview of the main international research initiatives where this topic has been studied, and the problem statement is given. The second section introduces the mathematical formulation and the third section reviews the numerical solution techniques, including discretisation and optimisation methods for the specific problem formulated. The fourth section summarises the strategies to articulate the preferences and to select optimal trajectories when multiple conflicting objectives are introduced. The fifth section introduces a number of models defining the optimality criteria and constraints typically adopted in MOTO studies, including fuel consumption, air pollutant and noise emissions, operational costs, condensation trails, current airspace and airport operations. A brief overview of atmospheric and weather modelling is also included. Key equations describing the optimality criteria are presented, with a focus on the latest advancements in the respective application areas. In the sixth section, a number of MOTO implementations in the CNS+A systems context are mentioned with relevant simulation case studies addressing different operational tasks. The final section draws some conclusions and outlines guidelines for future research on MOTO and associated CNS+A system implementations.

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Optimisation of Flight Trajectories and Airspace

Gardi,

Lim,

Sabatini

2023

Sustainable Aviation Technology and Operations

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

Cited by 4 publications

References 4 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

Multi-objective optimisation of aircraft flight trajectories in the ATM and avionics context

Optimisation of Flight Trajectories and Airspace

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