Using Transponder Signals to Model Aircraft Performance at Non-Towered Airports

Yang, Chuyang; Mott, John H.

doi:10.1109/aero50100.2021.9438390

Cited by 4 publications

(5 citation statements)

References 6 publications

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“…This stage focuses on developing a Point Mass Model (PMM) to facilitate the kinematic analysis of aircraft trajectories derived from Stage 1 (refer to Figure 2) [43]. Given the correlations among noise vs. power vs. distance in the EUROCONTROL NPD curves [44], it is imperative to highlight the critical role of operation mode and thrust (power setting) in this study's noise metrics computation.…”

Section: Aircraft Operation Mode and Thrust Estimationmentioning

confidence: 99%

“…Given the correlations among noise vs. power vs. distance in the EUROCONTROL NPD curves [44], it is imperative to highlight the critical role of operation mode and thrust (power setting) in this study's noise metrics computation. to Yang and Mott [43], various aircraft performance parameters, including ground speed, mean acceleration/deceleration, and rate of climb/descent, were derived directly or indirectly from the ADS-B messages. These parameters are instrumental in determining the operation mode of the aircraft, a pivotal aspect in our noise modeling process.…”

Section: Aircraft Operation Mode and Thrust Estimationmentioning

confidence: 99%

“…This initial stage forms the cornerstone of our methodology, setting the stage for precise trajectory estimation and comprehensive fleet mix analysis [40,43]. By leveraging ADS-B messages and advanced data integration procedures, we ensure that the subsequent stages of our study are built upon a solid foundation of high-quality data.…”

mentioning

confidence: 99%

“…Aircraft Performance Parameters and Operation Mode Determination: According to Yang and Mott [43], various aircraft performance parameters, including ground speed, mean acceleration/deceleration, and rate of climb/descent, were derived directly or indirectly from the ADS-B messages. These parameters are instrumental in determining the operation mode of the aircraft, a pivotal aspect in our noise modeling process.…”

mentioning

confidence: 99%

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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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Section: Aircraft Operation Mode and Thrust Estimationmentioning

confidence: 99%

Section: Aircraft Operation Mode and Thrust Estimationmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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

Yang,

Mott

2024

Aerospace

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“…where v lof , tof is the speed at lift-off and Dt is the period from the time the takeoff stage starts until the time aircraftreported altitude is above the airport elevation (29).…”

Section: Advanced Aircraft Performance Modelmentioning

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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A Review and Bibliometric Analysis of Unmanned Aerial System (UAS) Noise Studies Between 2015 and 2024

Yang,

Wallace,

Huang

2024

Acoustics

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Unmanned aerial systems (UAS), commonly known as drones, have gained widespread use due to their affordability and versatility across various domains, including military, commercial, and recreational sectors. Applications such as remote sensing, aerial imaging, agriculture, firefighting, search and rescue, infrastructure inspection, and public safety have extensively adopted this technology. However, environmental impacts, particularly noise, have raised concerns among the public and local communities. Unlike traditional crewed aircraft, drones typically operate in low-altitude airspace (below 400 feet or 122 m), making their noise impact more significant when they are closer to houses, people, and livestock. Numerous studies have explored methods for monitoring, assessing, and predicting the noise footprint of drones. This study employs a bibliometric analysis of relevant scholarly works in the Web of Science Core Collection, published from 2015 to 2024, following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) data collection and screening procedures. The International Journal of Environmental Research and Public Health, Aerospace Science and Technology, and the Journal of the Acoustical Society of America are the top three preferred outlets for publications in this area. This review unveils trends, topics, key authors and institutions, and national contributions in the field through co-authorship analysis, co-citation analysis, and other statistical methods. By addressing the identified challenges, leveraging emerging technologies, and fostering collaborations, the field can move towards more effective noise abatement strategies, ultimately contributing to the broader acceptance and sustainable integration of UASs into various aspects of society.

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Using Transponder Signals to Model Aircraft Performance at Non-Towered Airports

Cited by 4 publications

References 6 publications

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

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

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

A Review and Bibliometric Analysis of Unmanned Aerial System (UAS) Noise Studies Between 2015 and 2024

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