An Experimental and Analytical Approach to Evaluate Transponder-Based Aircraft Noise Monitoring Technology
Aviation is a vital modern transportation sector connecting millions of passengers globally. Sustainable aviation development holds substantial community benefits, necessitating effective management of its environmental impacts. This paper addresses the need for an accurate and cost-effective aircra...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-03-01
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| Series: | Aerospace |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2226-4310/11/3/199 |
| _version_ | 1797242479015100416 |
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| author | Chuyang Yang John H. Mott |
| author_facet | Chuyang Yang John H. Mott |
| author_sort | Chuyang Yang |
| collection | DOAJ |
| description | Aviation is a vital modern transportation sector connecting millions of passengers globally. Sustainable aviation development holds substantial community benefits, necessitating effective management of its environmental impacts. This paper addresses the need for an accurate and cost-effective aircraft noise monitoring model tailored to non-towered general aviation airports with limited resources for official air traffic data collection. The existing literature highlights a heavy reliance on air traffic data from control facilities in prevailing aircraft noise modeling solutions, revealing a disparity between real-world constraints and optimal practices. Our study presents a validation of a three-stage framework centered on a low-cost transponder unit, employing an innovative experimental and analytical approach to assess the model’s accuracy. An economical Automatic Dependent Surveillance-broadcast (ADS-B) receiver is deployed at Purdue University Airport (ICAO Code: KLAF) to estimate aircraft noise levels using the developed approach. Simultaneously, a physical sound meter is positioned at KLAF to capture actual acoustic noise levels, facilitating a direct comparison with the modeled data. Results demonstrate that the developed noise model accurately identifies aircraft noise events with an average error of 4.50 dBA. This suggests the viability of our low-cost noise monitoring approach as an affordable solution for non-towered general aviation airports. In addition, this paper discusses the limitations and recommendations for future research. |
| first_indexed | 2024-04-24T18:39:52Z |
| format | Article |
| id | doaj.art-69da2765315a4f66985811b908961d38 |
| institution | Directory Open Access Journal |
| issn | 2226-4310 |
| language | English |
| last_indexed | 2024-04-24T18:39:52Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Aerospace |
| spelling | doaj.art-69da2765315a4f66985811b908961d382024-03-27T13:15:38ZengMDPI AGAerospace2226-43102024-03-0111319910.3390/aerospace11030199An Experimental and Analytical Approach to Evaluate Transponder-Based Aircraft Noise Monitoring TechnologyChuyang Yang0John H. Mott1School of Technology and Professional Services Management, Eastern Michigan University, Ypsilanti, MI 48197, USASchool of Aviation and Transportation Technology, Purdue University, West Lafayette, IN 47906, USAAviation is a vital modern transportation sector connecting millions of passengers globally. Sustainable aviation development holds substantial community benefits, necessitating effective management of its environmental impacts. This paper addresses the need for an accurate and cost-effective aircraft noise monitoring model tailored to non-towered general aviation airports with limited resources for official air traffic data collection. The existing literature highlights a heavy reliance on air traffic data from control facilities in prevailing aircraft noise modeling solutions, revealing a disparity between real-world constraints and optimal practices. Our study presents a validation of a three-stage framework centered on a low-cost transponder unit, employing an innovative experimental and analytical approach to assess the model’s accuracy. An economical Automatic Dependent Surveillance-broadcast (ADS-B) receiver is deployed at Purdue University Airport (ICAO Code: KLAF) to estimate aircraft noise levels using the developed approach. Simultaneously, a physical sound meter is positioned at KLAF to capture actual acoustic noise levels, facilitating a direct comparison with the modeled data. Results demonstrate that the developed noise model accurately identifies aircraft noise events with an average error of 4.50 dBA. This suggests the viability of our low-cost noise monitoring approach as an affordable solution for non-towered general aviation airports. In addition, this paper discusses the limitations and recommendations for future research.https://www.mdpi.com/2226-4310/11/3/199aviationaircraft noise monitoringnon-towered airportsustainabilityautomatic dependent surveillance-broadcast (ADS-B)environmental impact mitigation |
| spellingShingle | Chuyang Yang John H. Mott An Experimental and Analytical Approach to Evaluate Transponder-Based Aircraft Noise Monitoring Technology Aerospace aviation aircraft noise monitoring non-towered airport sustainability automatic dependent surveillance-broadcast (ADS-B) environmental impact mitigation |
| title | An Experimental and Analytical Approach to Evaluate Transponder-Based Aircraft Noise Monitoring Technology |
| title_full | An Experimental and Analytical Approach to Evaluate Transponder-Based Aircraft Noise Monitoring Technology |
| title_fullStr | An Experimental and Analytical Approach to Evaluate Transponder-Based Aircraft Noise Monitoring Technology |
| title_full_unstemmed | An Experimental and Analytical Approach to Evaluate Transponder-Based Aircraft Noise Monitoring Technology |
| title_short | An Experimental and Analytical Approach to Evaluate Transponder-Based Aircraft Noise Monitoring Technology |
| title_sort | experimental and analytical approach to evaluate transponder based aircraft noise monitoring technology |
| topic | aviation aircraft noise monitoring non-towered airport sustainability automatic dependent surveillance-broadcast (ADS-B) environmental impact mitigation |
| url | https://www.mdpi.com/2226-4310/11/3/199 |
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