Data-Driven Analysis of Departure Procedures for Aviation Noise Mitigation

Bhanpato, Jirat; Puranik, Tejas G; Mavris, Dimitri; Georgia Institute of Technology. Aerospace Systems Design Laboratory; United States. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment

doi:https://doi.org/10.3390/ engproc2021013002

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Data-Driven Analysis of Departure Procedures for Aviation Noise Mitigation

2021-12-01
By Bhanpato, Jirat ; Puranik, Tejas G ; Mavris, Dimitri

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English

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Creators:

Bhanpato, Jirat ; Puranik, Tejas G ; Mavris, Dimitri

Bhanpato, Jirat ; Puranik, Tejas G ; Mavris, Dimitri Less -
Corporate Creators:

Georgia Institute of Technology. Aerospace Systems Design Laboratory ; United States. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment

Georgia Institute of Technology. Aerospace Systems Design Laboratory ; United States. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment Less -
Corporate Contributors:

United States. Department of Transportation. Federal Aviation Administration. Office of Environment and Energy
Subject/TRT Terms:

[+]

ADS-B ASCENT Automatic Dependent Surveillance–Broadcast Aviation Fuels Biomass Fuels Noise Control Sustainability Trajectory
Publication/ Report Number:

engproc-13-00002
DOI:

https://doi.org/10.3390/ engproc2021013002
Resource Type:

Journal Article
Right Statement:

Open Access; https://creativecommons.org/licenses/by/4.0/
Geographical Coverage:

United States
Corporate Publisher:

MDPI
Abstract:

The mitigation of aviation environmental effects is one of the key requirements for sustainable aviation growth. Among various mitigation strategies, Noise Abatement Departure Procedures (NADPs) are a popular and effective measure undertaken by several operators. However, a large variation in departure procedures is observed in real operations. This study demonstrates the use of OpenSky ADS-B departure data for comparison and quantification of the differences in trajectories and the resulting community noise impact between real-world operations and NADPs. Trajectory comparison is accomplished in order to gain insights into the similarity between NADPs and real-world procedures. Clustering algorithms are employed to identify representative departure procedures, enabling efficient high-fidelity noise modeling. Finally, noise results are compared in order to quantify the difference in environmental impacts arising from variability in real-world trajectories. The methodology developed enables more efficient and accurate environmental analyses, thereby laying the foundation for future impact assessment and mitigation efforts.
Content Notes:

This is an open access article under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) license https://creativecommons.org/licenses/by/4.0/. The paper first appeared in Engineering Proceedings. Citation: Bhanpato, J.; Puranik, T.G.; Mavris, D.N. Data-Driven Analysis of Departure Procedures for Aviation Noise Mitigation. Eng. Proc. 2021, 13, 2. https://doi.org/10.3390/ engproc2021013002
Format:

PDF
Funding:

13-C-AJFF-GIT-054
Collection(s):

Federal Aviation Administration
Main Document Checksum:

[+]

urn:sha256:cbfd7084dd029e716a8e090ace305e838a8c4b65f1f07731cc1dc521744f05e0
Download URL:

https://rosap.ntl.bts.gov/view/dot/64836/dot_64836_DS1.pdf
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Data-Driven Analysis of Departure Procedures for Aviation Noise Mitigation

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