Unmanned Aircraft Systems (UAS) Traffic Management (UTM) National Campaign II

Aweiss, Arwa ; Owens, Brandon ; Rios, Joseph ; Homola, Jeffrey ; Mohlenbrink, Christoph

关键词: AERIAL RECONNAISSANCE;    AIR TRAFFIC CONTROL;    AIRSPACE;    DATA ACQUISITION;    DATA BASES;    DETECT AND AVOID;    FLIGHT TESTS;    HUMAN FACTORS ENGINEERING;    INFORMATION MANAGEMENT;    LOW ALTITUDE;    PILOTLESS AIRCRAFT;    SAFETY FACTORS;    SURVEILLANCE;    SYSTEMS MANAGEMENT;    UAS TRAFFIC MANAGEMENT;    UNMANNED AIRCRAFT SYSTEMS;    URBAN DEVELOPMENT;   

RP-ID  :  ARC-E-DAA-TN50442

美国|英语

来源: NASA Technical Reports Server

【 摘 要 】

The Unmanned Aircraft System (UAS) Traffic Management (UTM) effort at NASA aims to enable access to low-altitude airspace for small UAS. This goal is being pursued partly through partnerships that NASA has developed with the UAS stakeholder community, the FAA, other government agencies, and the designated FAA UAS Test Sites. By partnering with the FAA UAS Test Sites, NASA's UTM project has performed a geographically diverse, simultaneous set of UAS operations at locations in six states. The demonstrations used an architecture that was developed by NASA in partnership with the FAA to safely coordinate such operations. These demonstrations—the second or "Technical Capability Level (TCL 2)" National Campaign of UTM testing—was performed from May 15 through June 9, 2017. Multiple UAS operations occurred during the testing at sites located in Alaska, Nevada, Texas, North Dakota, Virginia, and New York with multiple organizations serving as UAS Service Suppliers and/or UAS Operators per the specifications provided by NASA. By engaging various members of the UAS community in development and operational roles, this campaign provided initial validation of different aspects of the UTM concept including: UAS Service Supplier technologies and procedures; geofencing technologies/conformance monitoring; ground-based surveillance/sense and avoid; airborne sense and avoid; communication, navigation, surveillance; and human factors related to UTM data creation and display. Additionally, measures of performance were defined and calculated from the flight data to establish quantitative bases for comparing flight test activities and to provide potential metrics that might be routinely monitored in future operational UTM systems.