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NASA/TM–20210011098Report: X3 Simulation with National CampaignDevelopmental Test (NC-DT) Airspace PartnersNicholas CravenMillennium Engineering & Integration Co.Savita Verma, Spencer MonheimNASA Ames Research CenterAnnie ChengMillennium Engineering & Integration Co.Robert WoodFlight Research AssociatesVictoria DulchinosSan Jose State University Research FoundationChin Seah, Fritz RenemaKBR Wyle ServicesAmir FarrahiUniversities Space Research AssociationDavid ZahnFlight Research AssociatesDan LiddellKBR Wyle ServicesJenessa Lin, Mohana GurramNASA Ames Research CenterQiang (Shawn) LiKBR Wyle ServicesMark Snycerski, Michele CencettiSan Jose State University Research FoundationApril 2021

NASA STI Program . in ProfileSince its founding, NASA has been dedicatedto the advancement of aeronautics and spacescience. The NASA scientific and technicalinformation (STI) program plays a key part inhelping NASA maintain this important role. CONFERENCE PUBLICATION.Collected papers from scientific andtechnical conferences, symposia, seminars,or other meetings sponsored orco-sponsored by NASA.The NASA STI program operates under theauspices of the Agency Chief Information Officer.It collects, organizes, provides for archiving, anddisseminates NASA’s STI. The NASA STIprogram provides access to the NTRS Registeredand its public interface, the NASA TechnicalReports Server, thus providing one of the largestcollections of aeronautical and space science STIin the world. Results are published in both nonNASA channels and by NASA in the NASA STIReport Series, which includes the following reporttypes: SPECIAL PUBLICATION. Scientific,technical, or historical information fromNASA programs, projects, and missions,often concerned with subjects havingsubstantial public interest. TECHNICAL TRANSLATION.English-language translations of foreignscientific and technical material pertinent toNASA’s mission. TECHNICAL PUBLICATION. Reports ofcompleted research or a major significantphase of research that present the results ofNASA Programs and include extensive dataor theoretical analysis. Includes compilations of significant scientific and technicaldata and information deemed to be ofcontinuing reference value. NASA counterpart of peer-reviewed formal professionalpapers but has less stringent limitations onmanuscript length and extent of graphicpresentations.TECHNICAL MEMORANDUM.Scientific and technical findings that arepreliminary or of specialized interest,e.g., quick release reports, workingpapers, and bibliographies that containminimal annotation. Does not containextensive analysis.CONTRACTOR REPORT. Scientific andtechnical findings by NASA-sponsoredcontractors and grantees.Specialized services also include organizingand publishing research results, distributingspecialized research announcements andfeeds, providing information desk and personalsearch support, and enabling data exchangeservices.For more information about the NASA STIprogram, see the following: Access the NASA STI program home pageat http://www.sti.nasa.gov E-mail your question to help@sti.nasa.gov Phone the NASA STI Information Desk at757-864-9658 Write to:NASA STI Information DeskMail Stop 148NASA Langley Research CenterHampton, VA 23681-2199

NASA/TM–20210011098Report: X3 Simulation with National CampaignDevelopmental Test (NC-DT) Airspace PartnersNicholas CravenMillennium Engineering & Integration Co.Savita Verma, Spencer MonheimNASA Ames Research CenterAnnie ChengMillennium Engineering & Integration Co.Robert WoodFlight Research AssociatesVictoria DulchinosSan Jose State University Research FoundationChin Seah, Fritz RenemaKBR Wyle ServicesAmir FarrahiUniversities Space Research AssociationDavid ZahnFlight Research AssociatesDan LiddellKBR Wyle ServicesJenessa Lin, Mohana GurramNASA Ames Research CenterQiang (Shawn) LiKBR Wyle ServicesMark Snycerski, Michele CencettiSan Jose State University Research FoundationNational Aeronautics andSpace AdministrationAmes Research CenterMoffett Field, CA 94035April 2021

AcknowledgmentsWe would like to acknowledge Jillian Keeler, Richard Mogford, and Rania Ghatas for helpingus with the report writing and editing, and Doug Isaacson for communicating and being anawesome liaison with X3 industry partners. We would also like to extend our gratitude andacknowledge our colleagues from the National Campaign Airspace Test Infrastructure (ATI)- John Sprague, Tim Bagnall, Jerry Wilwerding, Latha Madhavi, Faisal Omar, Irene Smith,and David Smith for designing and building the X3 data collection system that wasfoundational to the scenario testing and data collection with industry partners.This report is available in electronic form athttps://ntrs.nasa.gov/

IntroductionNASA’s vision for Advanced Air Mobility (AAM) is to help emerging aviation markets developa safe air transportation system that would allow moving people and cargo between placespreviously not served or underserved by aviation [1]. Advanced Air Mobility (AAM)encompasses a range of innovative aviation technologies (small drones, electric aircraft,automated air traffic management, etc.) that are transforming aviation’s role in everyday life,including the movement of goods and people. Urban Air Mobility (UAM) represents one of theAAM concepts with highly automated aircraft, providing commercial services to the public overdensely populated cities to improve mobility. The improvement of UAM envisages a future inwhich advanced technologies and new operational procedures enable practical, cost-effectiveair travel as an integral mode of transportation in metropolitan areas. This includes flying tolocal, regional, intra-regional, and urban locations using revolutionary new electric VerticalTakeOff and Landing (eVTOL) aircraft that are only just now becoming possible.The previous research (X1) investigated the operational capabilities in the current day ATCenvironment. The results of X1 showed that ATC communication and workload are bottlenecksfor scalability of the UAM operations [3]. The objective of X2 was to utilize the UTM’s TechnicalCapability Level-4 (TCL-4) capabilities for UAM operations with one industry partner. Itunraveled the challenges for using operational volumes for UAM operations that are notstandardized across the industry [4].Both NASA and the FAA have been collaborating to describe the innovative UAM operationsthrough a Concept of Operations (Conops) document. The document also describes thechallenges to these operations, which range from integration of UAM operations in the NationalAirspace (NAS), safety, noise impacts, public acceptance, and many more. The FAA’s Conopsv1.0 on UAM operations [2] describes near term to mid-term UAM operations that defineairspace structures, such as corridors, that would allow UAM operations without Air TrafficControl (ATC) services. These corridors could be defined in any class of airspace as well asdefined from vertiport to vertiport. The UAM operations would require minimum performancerequirements to operate within the corridors and to traverse them. The Conops also defines anarchitecture where Providers of Services for UAM (PSUs) would provide the relevant servicesfor UAM operations that would utilize eVTOL vehicles. NASA’s Vision Conops [1] focuses on themature UAM operations and describes a different set of airspace structures –a UAMOperational Environment (UOE) that would be utilized for more complex and higher densityUAM operations.In support of the AAM mission to accelerate the integration of UAM operations in the NAS, aseries of test activities that are focused on flight and simulation are planned by the NationalCampaign Sub Project (NC SP). The NC flight test series will guide the collective communityand stakeholders through a series of scenario-based test activities that involve vehicles andairspace management services operating in a live test environment. NC SP plans to conductflight tests over the next several years. The first flight test, referred to as National Campaign –Development Test (DT), focuses on testing with helicopters in March 2021. The airspacepartners with NC are referred to in this document as NC-DT airspace partners or just airspacepartners.The UAM Sub-Project (SP) conducted initial lab simulations with NC developmental testing(NC-DT) airspace partners to evaluate and demonstrate their capabilities and components priorto NC flight activities. The X3 series of simulations focuses on the development of technologies,capabilities, and procedures with the objective of integrating the UAM operations in the NAS via1

simulation test activities. It does not utilize the airspace structures defined by FAA Conops orthe NASA Vision Conops. The goal of these tests was to provide insight into the evolvingregulatory, operational, and safety environment. The insights generated by these tests arenecessary to gather crucial data about the UAM concept while promoting public confidence insafety. This document defines the process leading up to the X3 simulation test events, theexecution of the X3 simulation tests, and their results.ScopeThese simulation activities, referred to as X3, were conducted during the second half of2020 and completed in December 2020. X3 was an initial opportunity to assess the UAMairspace system developed by the Air Traffic Management – eXploration (ATM-X) Project’sUAM Sub-Project (SP) in collaboration with National Campaign Sub Project’s Airspace TestInfrastructure (ATI) team. The capabilities provided by the airspace partners were tested duringthese simulation activities. In X3, the UAM SP executed initial lab simulations with NC-DTairspace partners to test and demonstrate their capabilities and components prior to flightactivities. The NC SP’s ATI team was responsible for providing data collection capabilities forX3. In addition, the ATM-X UAM SP facilitated the connection of NC-DT airspace partners to theUAM airspace system and simulation platform.The X3 simulation started with eleven NC-DT airspace partners. None of the 11 airspacepartners completed all the available testing with UAM Airspace Simulation Platform. Moredetails are provided about the number of completed tests in the Results section.Requirement ProcessThe UAM SP and NC SP’s ATI teams collaborated to gather initial internal (NC, NASA) andexternal (FAA, Airspace Partners) requirements and capabilities based on the NC goals,objectives, success criteria, and scenarios, which served as the foundation of the X3 simulationactivities. Figure 1 shows the system architecture used to meet these requirements.Figure 1 X3 System Architecture Diagram2

Components in the Emulated Environment and UAM Core Services comprised the UAMAirspace Simulation Platform. Each component in the Figure 1 architecture is defined in Table1.Table 1 Components in the Emulated EnvironmentComponentDescriptionEmulated Urban LayerProvides adaptation data (e.g. routes and airspace constructs) to the AirspacePartners.Flight Information ManagementSystem – Authorization (FIMSAZ)Authorizes and authenticates PSU to ensure access is provisioned to thosepermitted to use the system.Discovery and SynchronizationService (DSS)Enables a PSU to identify other PSUs with active operations or subscriptions inthe area of interest.Constraint SubmitterGenerates an airspace constraint with defined spatial and temporal boundariesand distributes it to the PSU Network.Provider of Services for UAM(PSU)A PSU is an entity that supports UAM operators with meeting UAM operationalrequirements that enable safe, efficient, and secure use of the airspace [2]. APSU:1. Provides a communication bridge between federated UAM actors, PSU toPSU via the PSU Network, to support the UAM operator’s ability to meet theregulatory and operational requirements for UAM operations2. Provides the UAM operator with information gathered from the PSU Network,about planned UAM operations so that UAM operators can ascertain the abilityto conduct safe and efficient missions3. Provides the confirmed flight intent to the PSU network4. Distributes notifications (e.g., constraints, restrictions) for the intended areaof operationUAM Operator InterfaceRepresents an entity that manages UAM operations. Meets regulatoryresponsibilities, plans operations, and safely conducts operations using allavailable information.Target Generator (TG) VehicleSimulated UAM vehicle.Data Collection PSUNASA developed system component leveraging PSU API to collect dataduring NC simulation and flight test. A PSU that collects data but does notsubmit operations.Data PipelineNASA developed system to collect real-time and post-flight data duringsimulation and flight test.The Application Programming Interfaces (API) for each interface identified in the systemarchitecture were defined in a GitHub repository which was available to all airspace partners.Links to all applicable API are included inTable 2 GitHub links for the different interfaces in X3 simulation environment.3

Table 2 GitHub links for the different interfaces in X3 simulation environmentData ter/fimsauthz-api/fims-authz.yamlUSS-to-DSS and USS-to-USS(Based on ASTM API)Vehicle api/X3/utmtelemetry.yamlThe ASTM API [6] was originally written for Unmanned Aircraft System (UAS) TrafficManagement (UTM) [5] and the UAS Service Supplier (USS) in that architecture. For X3, thesame API was used, and 'USS' and 'PSU' were used interchangeably. In future, ‘USS’ and‘PSU’ will not be interchangeable in actual applications and operations.System RequirementsTo support the System Architecture, there were two categories of System Requirements;UAM Airspace Simulation Platform Requirements and Airspace Partner Requirements. The firstcategory consisted of requirements to provide the UAM Airspace Simulation Platform with theservices necessary to execute and collect data for the scenarios to meet the minimum successcriteria. These included requirements for providing airspace definitions (such as airspaceclasses and nominal/off-nominal routes); providing authorization, discovery, and constraintsubmission services; and receiving and storing data. As depicted in the System Architecture(Figure 1), these systems were primarily developed by the ATM-X / UAM SP, and the NC SubProject / ATI teams. The DSS was developed by industry and hosted by one of the airspacepartners.The second category of requirements were capabilities the NC-DT airspace partnersneeded in order to connect to the simulated airspace services and exercise the capabilitiesnecessary for the scenarios. This included a PSU that interfaced with the UAM AirspaceSimulation Platform so that operations could be planned and re-planned and enabled simulatedvehicles to fly the planned operations. These capabilities, while not strictly necessary to meetthe success criteria of X3, were beneficial because they supported data collection, and could beused for the development and refinement of the requirements for future NC simulations andflights tests.ScenariosThree simulated scenarios were tested in X3 as part of a joint effort between NASA, theFAA, and airspace partners. All industry partners in X3 were encouraged to execute any or all ofthe NC Scenarios 1 through 3 out of the 7 total NC Scenarios. The UAM SP maintainedflexibility to enable data collection and validation of NC scenarios for partners that were ready totest.General assumptions which apply to all scenarios are described in Table 3.4

Table 3 General Assumptions for X3ElementAssumptionUAM Airspace ManagementSystem AuthorizationPre-authorization to submit operations; does not include airspace and/orperformance authorization. Letter of Authorization (LOA) authorizes flight to enterClass D.Weather ConditionsDaytime Visual Meteorological Conditions (VMC).UAM Routes Interaction withInstrument Flight Rules (IFR)and Visual Flight Rules (VFR)UAM airspace/routes are designed to be de-conflicted with Instrument FlightRules (IFR) and Visual Flight Rules (VFR) routes using current day separationrequirements. UAM airspace/routes are expected to be high density routes thatare notified to the rest of the VFR traffic in Class G for awareness.No interaction is assumed between UAM and IFR/VFR flights.Background TrafficNone.UAM Routes SharingEach UAM operator manages its own set of UAM routes (i.e., UAM routes arenot shared among multiple UAM operators at the same time).Vertiport SharingEach UAM operator manages its own set of Vertiports (i.e., Vertiports are notshared among multiple UAM operators at the same time).Small Unmanned AircraftSystems (sUAS) and NonTransponder FlightsNot included in the traffic.Simulation EnvironmentOnly one airspace partner will run the scenario at any given time in X3.Scenarios were designed such that complexity increased in each scenario. Adaptation filesin KML format were provided to the airspace partners for each scenario and included detailssuch as airspace classes, nominal routes, and off-nominal routes.Scenario 1 DescriptionScenario 1 included flight and operation planning for nominal operations. Additionalassumptions specific to Scenario 1 are included in Table 4.Table 4 Scenario 1 Assumptions for X3ElementAirspaceAssumptionAir traffic control (ATC)CommunicationsCurrent day (verbal) communications not required.AdaptationUAM airspace/routes are pre-defined and shared with partners as adaptation(files), including terrain elevation data along the route.Class E/G, Day VMC.The airspace objectives for Scenario 1 were to demonstrate a PSU's ability to perform predeparture flight planning for UAM aircraft, including scheduled departure and arrival times andstrategic deconfliction. In Scenario 1, the PSUs planned an operation using the provided routesand interfaced with the UAM Airspace Simulation Platform to announce the operation. This wasfollowed by a simulation of vehicle(s) which conformed to that plan. A generic representation ofthis scenario is shown in Figure 2. The line indicates the route, and the arrows indicate theintended direction of the aircraft.5

Figure 2 Scenario 1 Generic RepresentationScenario 2 DescriptionScenario 2 included en-route operation re-planning in response to an announced airspaceconstraint. Additional assumptions specific to Scenario 2 are included in Table 5.Table 5 Scenario 2 Assumptions for X3ElementAirspaceAssumptionAdaptationUAM airspace/routes are pre-defined and shared with partners as adaptation static files.Generic airspace with terrain data along the route and locations of Class D, E/G airspaceboundaries.ATCCommunicationsCurrent day (verbal) communications are not required. Exit of the UAM route will normallyprompt UAM vehicle and ATC interaction in Class D airspace. Presume that ATC hascommunicated to and pre-authorized the UAM aircraft regarding the re-route around theConstraint and re-joining the corridor.ConstraintCreationWill be announced by a NASA service using the USS-USS and USS-DSS APIs.UAM Re-routeThe UAM re-route flight path is pre-authorized by ATC and provided as updated waypoints tothe PSU.Class D/E/G, Day VMC.In addition to the airspace objectives listed in Scenario 1, the objectives of this scenario areto demonstrate: Interfaces for generating, and announcing airspace constraints to operations thatmay be impacted by the constraints both pre-departure and in flightPSU’s ability to receive airspace constraints and re-plan operations accordinglyIn Scenario 2, the PSUs planned the operation(s) using the provided routes, interfaced withthe UAM Airspace Simulation Platform to announce the operation(s), and then simulatedvehicle(s), which were expected to conform to that plan. While the operation(s) were in-flight, anairspace constraint (a UAS Volume Reservation, or UVR) was announced by the UAM AirspaceSimulation Platform using the defined APIs. The PSU:1. Updated the operation plan(s) using the waypoints around the constraint which wereprovided in the adaptation files,2. Announced the updated plan(s) to the UAM Airspace Simulation Platform,6

3. Simulated the vehicle(s) that were expected to conform to the updated operationplan(s).A generic representation of this scenario is shown in Figure 3.Figure 3 Scenario 2 Generic RepresentationScenario 3 DescriptionIn order to develop a scalable Vertiport design and procedures, and explore influencingfactors, Scenario 3 was split into three test cases: Scenarios 3A, 3B, and 3C. The influencingfactors that were explored included the impacts of go-arounds and landing on an unplannedvertipad or location on the surface of the airportThe overarching airspace objectives for this scenario were to demonstrate: Vertiport operations including density of landing/takeoffs, traffic flow management,and operations at closely spaced UAM vertipadsA PSU’s ability to safely and efficiently support UAM aircraft that perform a goaround with another approach/landing attemptA PSU's ability to safely and efficiently support UAM aircraft with emergency statesthat require changing landing locationsScenario 3AScenario 3A included en-route operation re-planning in response to an occupied orobstructed vertipad. Additional assumptions specific to Scenario 3A are included in Table 6.Table 6 Scenario 3A Assumptions for X3ElementAirspaceAssumptionClass D/E/G, Day VMC/ VFR.AdaptationUAM airspace/routes are pre-defined and shared with partners as adaptation (files). Genericairspace with terrain data along the route and locations of Class D, E/G airspaceboundaries.ATCCommunicationsCurrent day (verbal) communications not required. Go-Around is a published procedure thatdoes not require ATC communication.7

ElementAssumptionGo-Around triggerPSU detects that the landing pad is unavailable and triggers the go-aroundUAM Go-AroundRouteThe UAM go-around route is a pre-defined contingency plan (similar to the loiter path) and istaken by the flight.In Scenario 3A, the PSUs planned operation(s) using the provided routes, interfaced withthe UAM Airspace Simulation Platform to announce the operation(s), and then simulatedvehicle(s) that were expected to conform to that plan. Prior to arrival of the operation, the PSUwas alerted that the intended landing location was unavailable. As a result, the PSU:1. Generated an updated operation plan to perform a go-around using the providedroute,2. Announced the updated operation plan to the UAM Airspace Simulation Platform,3. Simulated vehicle(s) that were expected to conform to the updated operation plan.Following the go-around, the operation was expected to be re-sequenced with the otheroperations planned to land at the same vertiport. A generic representation of this scenario isshown in Figure 4.Figure 4 Scenario 3A Generic RepresentationScenario 3BScenario 3B included en-route operation re-planning in response to an occupied orobstructed vertipad similar to Scenario 3A. Additional assumptions specific to Scenario 3B areincluded in Table 7.Table 7 Scenario 3B Assumptions for X3ElementAirspaceAssumptionClass D/E/G, Day VMC/ VFR.AdaptationUAM airspace/routes are pre-defined and shared with partners as adaptation(files). Generic airspace with terrain data along the route and locations of Class D and E/Gairspace boundaries.ATCCommunicationsCurrent day (verbal) communications not required. Landing on the same vertiport but to adifferent vertipad is assumed to be managed by the operatorsAlternate LandingTriggerPSU detects the landing pad is unavailable and the aircraft is unable to do a go-around,requiring landing on a different pad.8

ElementAssumptionAlternate LandingLocationThe PSU will update its operation volume and land at the new location. Thealternate vertipad is a pre-defined contingency planIn Scenario 3B, the PSUs planned operation(s) using the provided routes, interfaced withthe UAM Airspace Simulation Platform to announce the operation(s) plan, followed bysimulation of the vehicle(s) that were expected to conform to that plan. Prior to the arrival of theoperation at the intended vertipad, the PSU was alerted that the intended landing location wasunavailable. The vehicle was not be able to perform a go-around (like in Scenario 3A) due to thevehicle status and needed to land at an alternate vertipad on the same vertiport. As a result, thePSU:1. Generated an updated operation plan to land at the provided alternate vertipad,2. Announced the updated operation plan to the UAM Airspace Simulation Platform,3. Simulated the vehicle, which was expected to conform to the updated operationplan.A generic representation of this scenario is shown in Figure 5.Figure 5 Scenario 3AB Generic RepresentationScenario 3CScenario 3C included en-route operation re-planning in response to an emergency landingrequest made by the UAM aircraft. Additional assumptions specific to Scenario 3C are includedin Table 8.Table 8 Scenario 3C Assumptions for X3ElementAirspaceAssumptionClass D/E/G, Day VMC/ VFR.AdaptationUAM airspace/routes are pre-defined and shared with partners as adaptation (files). Genericairspace includes terrain data along the route and locations of Class D, E/G airspaceboundaries.ATCCommunicationsCurrent day (verbal) communications are not required. Emergency landing will normallyprompt UAM vehicle and ATC interaction in Class D. Presume that ATC has communicatedto and pre-authorized the landing and location.EmergencyLandingUAM flight is unable to use the vertiports and the operator triggers the emergency landing onthe airport surface (not a vertipad). Assumes that landing location was authorized by theATC.9

ElementAssumptionLanding toRunwayThe PSU will update its operation volume and land at the new location.In Scenario 3C, the PSUs planned operation(s) using the provided routes, interfaced withthe UAM Airspace Simulation Platform to announce the operation(s), and then simulatedvehicle(s) that were expected to conform to that plan. Prior to arrival of the operation at theplanned landing location, the PSU was alerted that the operation needed to perform anemergency landing which required a contingency state and diversion to a runway landinglocation. As a result, the PSU:1. Generated an updated operation plan to land at the provided runway landinglocation,2. Announced the updated operation plan to the UAM Airspace Simulation Platform,3. Simulated the vehicle that was expected to conform to the updated operation plan.The PSU also indicated the contingency state of the operation to the UAM AirspaceSimulation Platform. A generic representation of this scenario is shown in Figure 6.Figure 6 Scenario 3C Generic RepresentationMethodAirspace DefinitionFor each scenario described in the Scenarios section of this document, adaptation files wereused to define a common airspace for all the airspace partners. Included in the files wereapplicable airspace definitions, available landing / takeoff vertipads, nominal routes between thevertipads, and off-nominal routes. Airspace definitions included the applicable Class D airspace,and a portion of the Class D airspace referred to as 'UAM Airspace' in which UAM operationswere allowed to occur under an assumed predefined agreement with ATC. The airspacepartners were not required to plan their operation at a specific cruise altitude while in Class Gairspace. Points along the routes were provided and included the World Geodetic System(WGS) 84 altitude of the terrain at that location. All adaptation data was provided to the airspacepartners in Keyhole Markup Language (KML) format.For each scenario test, one route was identified in the test procedure as the primary route.Operations identified as part of the test procedure were required to use this primary/nominal10

route as shown in Figure 8. Similarly, if there was a scripted off-nominal event, that off-nominalroute was also identified in the procedure. Both the nominal and off-nominal routes wereprovided to exercise control over the scenarios and allow comparisons where possible amongdifferent airspace partners.The adaptation for the routes and classes of airspace created a generic airspace based onClass D airports in Dallas area. The two class D airspaces that were emulated includedArlington and Alliance airspaces. These airspaces were then transposed to Edwards AirforceBase (EDW) for terrain because the NC flight test was planned at that location. The emulation ofthe route planned for NC flight test was referred to as the nominal route that all airspacepartners were required to fly as shown in Figure 7.Figure 7 Airspace Adaptation used for X3Test ApproachThe general sequence of test events for a scenario is shown in Figure 8. This sequence wasused for each scenario, based on that scenario’s test plan. Connectivity and validation testswere followed by functional tests that focused on required functionality for the scenarios. Lastlyscenario tests were used for data collection with every partner who was ready and available totest.Figure 8 X3 Testing Sequence Per ScenarioValidation tests were performed on individual subsystems to exercise the applicable APIendpoints without connecting to other subsystems. This approach was based on the testingperformed in UTM TCL-4 [8]. The primary focus of the validation test was verifying the expectedHTTP response that was returned when the validation criteria identified in the API failed. Onlyendpoints exercised by a simulated PSU were tested. The FIMS Authorization Server (FIMS11

AZ) Validation Test was developed by NASA. The DSS-USS and USS-USS validation testswere developed jointly by NASA and the airspace partners. These tests included twocategories: tests which required an airspace partner operation, and tests which did not. The testthat could be run without

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