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A design study for the safe integration of Unmanned Aerial Systems into the National Airspace System

机译:无人机系统安全集成到国家空域系统的设计研究

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Since 2013 Unmanned Aerial Systems, commonly called drones, have become a disruptive technology in the consumer market and the National Airspace System due to their decreasing costs and increased consumer interest. Sales of drones have experienced growth in excess of 500 percent from 2014 to 2016. According to the Federal Aviation Administration the number of incidents involving drones has also grown. The Federal Aviation Administration currently provides few regulations for drones, instead offering advisories to drone operators. In order to determine a course of action for safe integration, the Federal Aviation Administration instituted a pilot reporting database of incidents involving drones. In over 97% of the incidents reported, the drone operators were not following altitude and location advisories. This paper examines the effectiveness of geofencing systems for drones and compares its effectiveness to the current proposed regulations and traditional collision avoidance systems. A Monte Carlo simulation using growth and incident rates of drones based on the incident data is used to determine the utility of each alternative. The alternatives are then analyzed through a utility function and evaluated on a cost/utility basis. The result shows that limiting flight operations to the regulated thresholds provides a cost effective method for adding safety to the operation of drones within the National Airspace System.
机译:自2013年以来,无人机空中系统通常称为无人机,由于其成本降低和增加消费者利益而成为消费市场和国家空域系统的颠覆性技术。从2014年至2016年,无人机的销售经历了超过500%的增长。根据联邦航空管理局,涉及无人机的事件数量也在增长。联邦航空管理局目前为无人机提供了一些规定,而是为无人驾驶运营商提供建议。为了确定安全整合的行动方案,联邦航空管理局制定了涉及无人机的事件的试点报告数据库。超过97%的事件报告,无人机运营商没有遵循高度和地点建议。本文介绍了机械系统对无人机的有效性,并比较了其对当前拟议规定和传统碰撞避免系统的效力。使用基于事件数据的使用生长和入射率的蒙特卡罗模拟用于确定每个替代方案的效用。然后通过实用程序函数分析替代方案,并根据成本/实用性评估。结果表明,限制飞行运算对受调节阈值提供了一种成本有效的方法,用于增加国家空域系统内无人机的操作。

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