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 …

Multi-level aircraft feature representation and selection for aviation environmental impact analysis

Z Gao, SI Kampezidou, A Behere, TG Puranik… - … Research Part C …, 2022 - Elsevier
A wholesome understanding of aviation's environmental impacts is indispensable to the
realization of a sustainable future of aviation. An accurate assessment of aircraft features …

Improved Aircraft Environmental Impact Segmentation via Metric Learning

Z Gao, A Behere, DN Mavris - Journal of Air Transportation, 2025 - arc.aiaa.org
Accurate modeling of aircraft environmental impact is pivotal to the design of operational
procedures and policies to mitigate negative aviation environmental impact. Aircraft …

Noise-Aware and Equitable Urban Air Traffic Management: An Optimization Approach

Z Gao, Y Yu, Q Wei, U Topcu, JP Clarke - arxiv preprint arxiv:2401.00806, 2024 - arxiv.org
Urban air mobility (UAM), a transformative concept for the transport of passengers and
cargo, faces several integration challenges in complex urban environments. Community …

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 …