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CC BY V4.0, Open Access
Journal article
Data-Driven Analysis of Departure Procedures for Aviation Noise Mitigation
Engineering Proceedings, Vol.13(2)
2021
Handle:
https://hdl.handle.net/2376/118534
Appears in Aviation Sustainability Center (ASCENT)
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.
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Details
- Title
- Data-Driven Analysis of Departure Procedures for Aviation Noise Mitigation
- Creators
- Jirat Bhanpato (Author)Tejas G. Puranik (Author) - Georgia Institute of TechnologyDimitri N. Mavris (Author) - Georgia Institute of Technology
- Publication Details
- Engineering Proceedings, Vol.13(2)
- Academic Unit
- Modeling Tools; Aviation Sustainability Center (ASCENT)
- Grants
- 13-C-AJFF-GIT-054, Federal Aviation Administration (United States, Washington) - FAA
- Identifiers
- 99900898124701842
- Language
- English
- Resource Type
- Journal article