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Measurement of Airport Operations Using a Low-Cost Transponder Data Receiver and Collection Unit.

机译：使用低成本应答器数据接收器和采集器测量机场运行情况。

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摘要

Accurate counts of aircraft operations at unmonitored or partially-monitored general aviation airports are important due to their role in the allocation of funds for airport development and improvement. While the Federal Aviation Administration annually invests approximately ;Aircraft operations at airports with limited personnel may be counted using temporary acoustic, pneumatic, or video devices, and observations from contract staff. The related sample sizes are inherently small, leading to inaccuracies in the extrapolation of long-term totals. In some cases, the counts may simply be estimated unscientifically by airport managers.;Data from aircraft transponders, critical for the safe and efficient management of airspace, may also be used to accurately count airport operations. This data may be collected by a receiver and analyzed with appropriate algorithms. While a majority of the data records (Basic Mode S and Mode C) do not include aircraft positions, a small portion (Extended Mode S) contain position information from which aircraft distances may be directly computed. This dissertation describes a method by which these known distances may be used to calibrate an adaptive digital filter that can be used to estimate distances for the remainder of the aircraft that do not transmit position information. The resulting distance estimates, which exhibit an average error of 0.77 nm per transponder record within 5.0 nm of the receiver, may then be used in conjunction with aircraft altitude and other parameters to identify and register airport operations.;Over 16 million data records from three receiver installations at two general aviation airports with collection periods varying from eight to 180 days were used to evaluate the algorithms. The automated operations counts were compared with official air traffic control tower counts obtained from the FAA's Air Traffic Activity Data System (ATADS) database. A 180-day evaluation found the algorithm provided counts within 2.2% of 52,750 operations; shorter-term comparisons were accurate to within 10% of the FAA counts. The method therefore appears to be an effective and inexpensive means of establishing accurate operations counts at airports with limited personnel.
机译：由于无人驾驶飞机在分配用于机场发展和改善的资金中所起的作用，因此准确计数无人驾驶或部分受监视的通用航空机场的飞机运行非常重要。尽管美国联邦航空管理局（Federal Aviation Administration）每年大约投资；但可能会使用临时的声学，气动或视频设备以及合同人员的观察来对人员有限的机场的飞机运行进行计数。相关的样本量本来就很小，导致长期总数的外推不准确。在某些情况下，机场管理员可能只是简单地以不科学的方式估算出这些计数。来自飞机应答机的数据对于安全有效地管理空域至关重要，也可以用来准确地计算机场运行情况。该数据可以由接收器收集并用适当的算法进行分析。虽然大多数数据记录（基本模式S和模式C）不包括飞机位置，但一小部分（扩展模式S）包含位置信息，可以从中直接计算飞机距离。本论文描述了一种方法，通过这些方法可以将这些已知距离用于校准自适应数字滤波器，该自适应数字滤波器可以用于估计不发送位置信息的飞机其余部分的距离。由此产生的距离估算值（在接收器5.0 nm内每个应答器记录的平均误差为0.77 nm）可以与飞机高度和其他参数结合使用，以识别和注册机场运行;来自三个的超过1600万条数据记录使用两个通用航空机场的接收器装置（收集时间从8天到180天不等）来评估算法。将自动操作计数与从FAA的空中交通活动数据系统（ATADS）数据库获得的官方空中交通管制塔计数进行了比较。经过180天的评估，发现该算法提供的计数在52,750次操作的2.2％之内；短期比较准确到FAA计数的10％以内。因此，该方法似乎是在人员有限的机场上建立准确的操作计数的有效且廉价的方法。

著录项

  • 作者

    Mott, John H.;

  • 作者单位

    Purdue University.;

  • 授予单位 Purdue University.;
  • 学科 Civil engineering.;Electrical engineering.;Transportation.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 179 p.
  • 总页数 179
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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