验证ADS-B数据用于噪声建模应用

Q3 Social Sciences Collegiate Aviation Review Pub Date : 2022-01-01 DOI:10.22488/okstate.22.100214
Luigi Raphael I. Dy, John H. Mott
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引用次数: 0

摘要

飞机噪音仍然是影响机场及其周边社区的主要环境问题。除了令人烦恼之外,飞机噪音还被发现对人类和动物的健康有潜在的不利影响。因此,采用了国际、国家和地方法规来量化、限制和减轻飞机噪音。美国联邦航空管理局(Federal Aviation Administration)开发的用于估计机场噪音影响的软件,依赖于在无塔台机场按照目视飞行规则飞行的飞机可能难以获得的运行信息。因此,利用ADS-B作为运营数据的低成本来源,可能会改善此类机场的噪声估计方法。为了验证这种方法,ADS-B数据与飞机航空电子设备的GPS记录进行了比较。平均横向误差为57.72英尺,纵向误差为112.36英尺,综合误差为126.32英尺,ADS-B位置误差导致的噪声估计误差预计小于7分贝。还发现,通过纳入大气数据来改进高度信息,可以显著改善ADS-B数据,从而减少估计误差。本研究的结果突出了ADS-B在噪声估计和其他应用中的潜在适用性。
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Validating ADS-B Data for Use in Noise Modeling Applications
Aircraft noise continues to be a major environmental issue impacting airports and their surrounding communities. Beyond being an annoyance, aircraft noise has also been found to have potentially adverse health effects on humans and animals. Thus, international, national, and local regulations have been adopted to quantify, limit, and mitigate aircraft noise. Software developed by the Federal Aviation Administration to estimate the impacts of airport noise relies on operations information that may be difficult to obtain for aircraft operating under visual flight rules at non-towered airports. Hence, leveraging the use of ADS-B as a low-cost source of operations data may improve noise estimation methods at such airports. To validate this approach, ADS-B data was compared to GPS records from aircraft avionics. With an average error of 57.72 feet laterally, 112.36 feet vertically, and 126.32 feet combined, resulting noise estimation errors as a result of ADS-B position errors are expected to be less than seven decibels. It was also found that ADS-B data can be significantly improved by incorporating atmospheric data to improve altitude information, leading to a reduction in estimation errors. The results of this study highlight the potential applicability of ADS-B usage in noise estimation and other applications.
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来源期刊
Collegiate Aviation Review
Collegiate Aviation Review Social Sciences-Education
CiteScore
1.10
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0.00%
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