A Novel Platform Design for Aircraft Noise Impact Assessment

Yang, Chuyang; Marshall, Zachary A.; Mott, John H.

doi:10.1109/sieds52267.2021.9483734

Cited by 4 publications

(3 citation statements)

References 6 publications

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“…Figure 1 illustrates the architecture of the proposed noise estimation model. The main components are the aircraft operation estimation and fleet mix extraction module, the advanced aircraft performance construction module, and the noise estimation module ( 19 ).…”

Section: Methodsmentioning

confidence: 99%

Developing a Cost-Effective Assessment Method for Noise Impacts at Non-Towered Airports: A Case Study at Purdue University

Yang

Mott

2022

Transportation Research Record: Journal of the Transportation R

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Aircraft noise is considered as one of the environmental impacts that most adversely affects airport development. Aircraft noise estimation tools such as the Aviation Environmental Design Tool (AEDT) are widely used by airports to mitigate local concerns for airport development. Aircraft operations and fleet mix information play important roles in aircraft performance modeling for noise prediction. However, such information is difficult to obtain at almost 85% of the 3,348 National Plan of Integrated Airport Systems (NPIAS) airports, which lack full-time air traffic control facilities and personnel. Given the increasing percentage of equipped automatic dependent surveillance-broadcast (ADS-B) aircraft in the U.S. national airspace, this paper presents a cost-effective noise estimation approach for non-towered general aviation (GA) airports. Instead of deploying physical sound meters or relying on the local air traffic control facilities, the authors collected aircraft positional data and fleet mix information based on ADS-B broadcasts. Advanced aircraft performance model parameters are constructed using four-dimensional aircraft position and a kinematic point-mass model. Aircraft-specific noise levels are interpolated based on the EUROCONTROL Aircraft Noise and Performance (ANP) database. To obtain the final noise level, two adjustments are applied to the interpolated noise values. The test results show the proposed approach can help non-towered airports predict the noise impact on any selected locations near the airport cost-effectively. Recommendations and opportunities for future investigation are also included.

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Section: Methodsmentioning

confidence: 99%

Developing a Cost-Effective Assessment Method for Noise Impacts at Non-Towered Airports: A Case Study at Purdue University

Yang

Mott

2022

Transportation Research Record: Journal of the Transportation R

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“…The Automatic Dependent Surveillance-broadcast (ADS-B), a Next-gen communication, navigation, and surveillance (CNS) technology in the United States, plays a pivotal role in this context [34,35]. Recent years have witnessed a growing interest in estimating aircraft operations through analyzing ADS-B messages [36][37][38][39][40][41]. Mott [36] demonstrated the cost-effectiveness of ADS-B messages for estimating operations at non-towered airports.…”

Section: Introductionmentioning

confidence: 99%

“…Yang et al [40] introduced an innovative approach leveraging ICAO identification codes to extract fleet mix data from FAA public databases. Building on these developments, the potential of using ADS-B messages for aircraft noise estimation is evident [39]. Still, further investigation and validation are necessary to realize this technology's potential.…”

Section: Introductionmentioning

confidence: 99%

An Experimental and Analytical Approach to Evaluate Transponder-Based Aircraft Noise Monitoring Technology

Yang,

Mott

2024

Aerospace

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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.

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Assessment of the use of electric power plants on the propeller-driven aircraft noise

Moshkov

Торопылина

2022

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A Novel Platform Design for Aircraft Noise Impact Assessment

Cited by 4 publications

References 6 publications

Developing a Cost-Effective Assessment Method for Noise Impacts at Non-Towered Airports: A Case Study at Purdue University

Developing a Cost-Effective Assessment Method for Noise Impacts at Non-Towered Airports: A Case Study at Purdue University

An Experimental and Analytical Approach to Evaluate Transponder-Based Aircraft Noise Monitoring Technology

Assessment of the use of electric power plants on the propeller-driven aircraft noise

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