Statistics and machine learning in aviation environmental impact analysis: A survey of recent progress

Z Gao, DN Mavris - Aerospace, 2022 - mdpi.com
The rapid growth of global aviation operations has made its negative environmental impact
an international concern. Accurate modeling of aircraft fuel burn, emissions, and noise is the …

Conceptual design of a D8 commercial aircraft

BM Yutko, N Titchener, C Courtin, M Lieu… - 17th AIAA Aviation …, 2017 - arc.aiaa.org
The conceptual design of a subsonic, environmentally efficient, twin-aisle commercial
airliner is presented. The D8 double-bubble aircraft–named for its complex, non-round …

Aircraft Environmental Impact Segmentation via Metric Learning

Z Gao, DN Mavris - arXiv preprint arXiv:2306.13830, 2023 - arxiv.org
Metric learning is the process of learning a tailored distance metric for a particular task. This
advanced subfield of machine learning is useful to any machine learning or data mining task …

Block 1 procedure recommendations for Logan Airport community noise reduction

RJ Hansman, L Jensen, J Thomas, G O'Neill, A Yu - 2017 - rosap.ntl.bts.gov
Recent developments in navigation and surveillance technology have enabled new high-
precision approach and departure operational procedures using GPS and Required …

A data-driven fuel consumption estimation model for airspace redesign analysis

N Hong, L Li - 2018 IEEE/AIAA 37th Digital Avionics Systems …, 2018 - ieeexplore.ieee.org
A novel data-driven model for fast assessment of terminal airspace redesigns regarding
system-level fuel burn is proposed in this paper. When given a terminal airspace design, the …

Block 2 Procedure Recommendations for Boston Logan Airport Community Noise Reduction

RJ Hansman, S Salgueiro, J Thomas, C Li, M Jansson… - 2021 - rosap.ntl.bts.gov
Recent developments in navigation and surveillance technology have enabled new high-
precision departure and arrival procedures using GPS and Performance-Based Navigation …