UAS Demand Generation Using Subject Matter Expert Interviews and Socio-economic Analysis

Ayyalasomayajula, Sricharan; Sharma, Rohit; Wieland, Frederick; Trani, Antonio; Hinze, Nicolas; Spencer, Thomas

doi:10.2514/6.2015-3405

Cited by 10 publications

(11 citation statements)

References 3 publications

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“…The demand and mission profiles were generated based on subject matter experts opinions and socio-economical analysis. 14 Table 2 shows the 12 UAS missions. These missions amount to a total of 17,100 hours' flight time.…”

Section: Iva Aces Generated Encountersmentioning

confidence: 99%

Well Clear Trade Study for Unmanned Aircraft System Detect And Avoid with Non-Cooperative Aircraft

Cone

Lee

et al. 2018

2018 Aviation Technology, Integration, and Operations Conference

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This paper presents a process for selecting candidate Detect-and-Avoid Well Clear definitions for Unmanned Aircraft Systems and non-cooperative aircraft. The selection is based on considerations of the unmitigated collision risk, maneuver initiation range, and others. Operational assumptions related to low cost, size, weight, and power sensors equipped by the Unmanned Aircraft Systems are applied to set the scope of aircraft performance and drive metrics computation. Four candidate Well Clear definitions, two primary and two secondary, varying from 1500 to 2500 ft in their horizontal miss distance and from 0 to 25 sec in modified tau, are selected for future analyses.

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Section: Iva Aces Generated Encountersmentioning

confidence: 99%

Well Clear Trade Study for Unmanned Aircraft System Detect And Avoid with Non-Cooperative Aircraft

Cone

Lee

et al. 2018

2018 Aviation Technology, Integration, and Operations Conference

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“…A fast-time simulation platform [13] known as the Airspace Concept Evaluation System (ACES) was then used to play back the processed VFR tracks while also simulating UAS flights (about 26,500 per day). Each simulated UAS flew one of 18 missions (Section III.B), which were developed by reviewing the literature, interviewing stakeholders and subject-matter experts, and performing socio-economic analysis [6]. The simulated UAS tracks and the VFR playback tracks were then compared to identify instances when encounter and LoWC occurred.…”

Section: < = =mentioning

confidence: 99%

“…On average, about 24,300 flight hours of VFR tracks were played back per simulation day in this study. Intelligent Automation, Inc. (IAI) in collaboration with NASA developed the set of 18 UAS mission types used in this study [6] that includes nine new UAS missions in addition to the preliminary set of nine UAS missions created for a prior study on DAA alerting and LoWC [4]. These 18 UAS mission types (Table 5) were developed based on literature review and socio-economic analysis as well as interviews with stakeholders and subject-matter experts regarding:…”

Section: Stitching Algorithmmentioning

confidence: 99%

“…This is the level of UAS demand projected by socio-economic analysis for 25 years in the future. This projection is based on factors such as gross domestic product and population demographics [6]. The UAS aircraft performance models utilized in the current study were generated from industry data [18] and validated by IAI [6].…”

Section: Stitching Algorithmmentioning

confidence: 99%

“…A prior study analyzed the frequency and timeliness of different DAA alerting criteria for encounters between manned aircraft and nine types of simulated UAS as well as their geometric characteristics at initial LoWC [4]. Since then, nine additional UAS missions were developed based on literature review, subject-matter expert and stakeholder input, and socioeconomic analysis [6]. In addition, the historical FAA and air defense radar data of manned aircraft used in the earlier study underwent additional processing using smoothing, filtering, and clustering algorithms [7] to make them more realistic.…”

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confidence: 99%

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Downstream Effects of Separation Assurance on Encounters Between Unmanned and Manned Aircraft

Thipphavong

Johnson

Refai

et al. 2017

Journal of Air Transportation

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This paper documents a crucial piece of the ongoing effort to develop minimum operational performance standards for Unmanned Aircraft System (UAS) Detect-and-Avoid (DAA)-the estimation of the rate of encounters between UAS and manned aircraft operating under Visual Flight Rules (VFR). In fast-time simulations that included both simulated future UAS and actual present-day manned VFR aircraft, UAS encountered VFR aircraft once every 5.3 UAS flight hours. Modeled air traffic controller mitigations for conflicts between UAS and manned aircraft operating under Instrument Flight Rules only reduced the rate of encounters between UAS and VFR aircraft by 0.2% with no statistically significant or practical effect on encounter geometry characteristics. Analysis of the simulations without modeled air traffic controller mitigations showed that the highest rates of encounter and loss of well clear occurred at altitudes below 5000 feet. In addition, a surveillance range of 14.3 nautical miles was needed to detect all encounters between UAS and VFR aircraft. A surveillance range of 3.6 nautical miles was necessary to detect all losses of well clear. These results primarily inform the safety case and the surveillance requirements for UAS DAA systems. Nomenclature DMOD = distance modification * h * mod t = horizontal modified tau threshold mod_r t = slant range modified tau * Small UAS are not covered under the FAA's UAS Integration Concept of Operations [9] and are not within the scope of the RTCA SC-228 MOPS [1]. Furthermore, small UAS do not require IFR operations. As such, this paper does not compute the encounter rate or the LoWC rate for small UAS.

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Future architectures for autonomous national airspace system control: Concept of operation and evaluation

Wieland

Ryabov

2017

2017 IEEE/AIAA 36th Digital Avionics Systems Conference (DASC)

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UAS Demand Generation Using Subject Matter Expert Interviews and Socio-economic Analysis

Cited by 10 publications

References 3 publications

Well Clear Trade Study for Unmanned Aircraft System Detect And Avoid with Non-Cooperative Aircraft

Well Clear Trade Study for Unmanned Aircraft System Detect And Avoid with Non-Cooperative Aircraft

Downstream Effects of Separation Assurance on Encounters Between Unmanned and Manned Aircraft

Future architectures for autonomous national airspace system control: Concept of operation and evaluation

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