Analysis of Unmanned Aircraft Systems Sightings Reports: Determination of Factors Leading to High Sighting Reports

S. Pitcher
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引用次数: 1

Abstract

Unmanned Aircraft System (UAS) growth in the past several years has been rising at a steady pace which has complicated the attempts to safely integrate them into the National Airspace System, as evidenced by an increasing number of UAS sighting reports being submitted to the Federal Aviation Administration. The analysis consisted of a mixed method approach using quantitative analysis of more than 9000 Federal Aviation Administration Unmanned Aircraft System Sighting reports from 2015 through 2019, as well as U.S. Census data, and weather data. The qualitative analysis focused on UAS regulation, and heatmap data of both population density and UAS sighting location density. The findings for the five states with the most and the least sighting reports show that major metropolitan areas, which have high population and population density, higher median household incomes, high percentage of college graduates, and are located in areas that have stable weather and negligible weather effects such as rain and high winds during the summer months, have both high and concentrated levels of UAS sightings.
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无人机系统目击报告分析:确定导致高目击报告的因素
无人机系统(UAS)的增长在过去几年中一直在稳步上升,这使得将它们安全地整合到国家空域系统的尝试变得复杂,正如越来越多的UAS目击报告被提交给联邦航空管理局所证明的那样。该分析采用混合方法,对2015年至2019年美国联邦航空管理局(faa) 9000多份无人机系统目击报告以及美国人口普查数据和天气数据进行了定量分析。定性分析侧重于无人机调控,以及人口密度和无人机瞄准点密度的热图数据。对目击报告最多和最少的五个州的调查结果表明,人口和人口密度高、家庭收入中位数较高、大学毕业生比例高、位于天气稳定、夏季降雨和大风等天气影响可忽略不计的地区的主要大都市地区,都有较高和集中的UAS目击水平。
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