Three Case Studies on Small Uncrewed Aerial Systems Near Midair Collisions with Aircraft: An Evidence-Based Approach for Using Objective Uncrewed Aerial Systems Detection Technology

IF 0.3 Q4 ENGINEERING, AEROSPACE
Ryan Wallace, S. Winter, S. Rice, David C. Kovar, Sang-A Lee
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引用次数: 1

Abstract

Small uncrewed aircraft systems (sUAS) growth continues for recreational and commercial applications. By 2025, the Federal Aviation Administration (FAA) predicts the sUAS fleet to number nearly 2.4 million units. As sUAS operations expand within the National Airspace System (NAS), so too does the probability of near midair collisions (NMACs) between sUAS and aircraft. Currently, the primary means of recognizing sUAS NMACs rely on pilots to visually spot and evade conflicting sUAS. Pilots may report such encounters to the FAA as UAS Sighting Reports. Sighting reports are of limited value as they are highly subjective and dependent on the pilot to accurately estimate range and altitude information. Moreover, they do not account for NMACs that an aircrew member does not spot. The purpose of this study was to examine objective sUAS and aircraft telemetry data collected using a DJI Aeroscope sensor and Automatic Dependent Surveillance-Broadcast (ADS-B)/Mode S messages throughout 36 months near a major United States (U.S.) airport. This data offers objective insights into the interaction of sUAS and aircraft in the airspace surrounding this airport. Using the data, three NMAC case studies are presented based on three varying mission profiles: (a) commercial air carriers, (b) general aviation (GA) aircraft, and (c) helicopters. The findings inform on sUAS-aircraft encounter evolution and trends, including areas of encounter risk, lateral and vertical encounter separation distances, sUAS operator compliance with operational and altitude restrictions, and comparisons of objective detection data against sUAS sighting reports. Recommendations are provided to mitigate risks associated with encounter trends to further enhance safety within the NAS.
小型无人机系统与飞机空中碰撞的三个案例研究:基于证据的无人机系统目标检测技术应用方法
小型无人机系统(sUAS)在娱乐和商业应用方面继续增长。美国联邦航空管理局(FAA)预测,到2025年,sUAS机队将达到近240万架。随着无人机系统在国家空域系统(NAS)内的业务扩展,无人机系统和飞机之间发生近空中碰撞的可能性也在增加。目前,识别无人机NMAC的主要手段依赖于飞行员视觉识别和躲避冲突的无人机。飞行员可以向美国联邦航空局报告这种遭遇,称为无人机瞄准报告。瞄准报告的价值有限,因为它们具有高度主观性,并且依赖于飞行员准确估计距离和高度信息。此外,他们没有说明机组人员没有发现的NMAC。本研究的目的是检查在美国主要机场附近36个月内使用DJI Aeroscope传感器和自动相关监视广播(ADS-B)/S模式信息收集的客观无人机和飞机遥测数据。这些数据为无人机和飞机在该机场周围空域的相互作用提供了客观的见解。利用这些数据,根据三种不同的任务概况,提出了三个NMAC案例研究:(a)商业航空母舰,(b)通用航空(GA)飞机和(c)直升机。这些发现为无人机飞机遭遇的演变和趋势提供了信息,包括遭遇风险区域、横向和垂直遭遇分离距离、无人机操作员遵守操作和高度限制的情况,以及客观探测数据与无人机瞄准报告的比较。建议减少与遭遇趋势相关的风险,以进一步提高NAS内的安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
SAE International Journal of Aerospace
SAE International Journal of Aerospace ENGINEERING, AEROSPACE-
CiteScore
0.70
自引率
0.00%
发文量
22
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