{"id":262984,"date":"2018-11-27T20:18:00","date_gmt":"2018-11-28T01:18:00","guid":{"rendered":"https:\/\/www.nasa.gov\/?migration=converted-node-436401"},"modified":"2024-03-07T15:43:21","modified_gmt":"2024-03-07T20:43:21","slug":"first-urban-air-mobility-uam-human-in-the-loop-airspace-simulation-at-simlabs","status":"publish","type":"post","link":"https:\/\/www.nasa.gov\/aeronautics\/air-traffic-solutions\/first-urban-air-mobility-uam-human-in-the-loop-airspace-simulation-at-simlabs\/","title":{"rendered":"First Urban Air Mobility (UAM) Human-in-the-Loop Airspace Simulation at SimLabs"},"content":{"rendered":"\n<p>The first Urban Air Mobility (UAM) human-in-the-loop (HITL) simulation successfully completed data collection on September 14, 2018. NASA\u2019s definition for UAM is a safe and efficient system for air passenger and cargo transportation within an urban area, inclusive of small package delivery and other urban Unmanned Aerial Systems (UAS) services, which supports a mix of onboard\/ground-piloted and increasingly autonomous operations.<\/p>\n\n\n\n<p>This simulation objective was to study candidate procedures and routes for flying UAM traffic in Class B and D airspace in the Texas Dallas-Fort Worth airport (DFW) terminal area, as well as to evaluate the corresponding impact of UAM traffic level on controller workload.<\/p>\n\n\n<div id=\"\" class=\"hds-media hds-module wp-block-image\"><div class=\"margin-left-auto margin-right-auto nasa-block-align-inline\"><div class=\"hds-media-wrapper margin-left-auto margin-right-auto\"><figure class=\"hds-media-inner hds-cover-wrapper hds-media-ratio-cover \"><a href=\"https:\/\/www.nasa.gov\/wp-content\/uploads\/2018\/11\/acd18-0137-024.jpg\"><img fetchpriority=\"high\" decoding=\"async\" width=\"2048\" height=\"1602\" src=\"https:\/\/www.nasa.gov\/wp-content\/uploads\/2018\/11\/acd18-0137-024.jpg?w=2048\" class=\"attachment-2048x2048 size-2048x2048\" alt=\"simulation controller station and human controller with headset\" style=\"transform: scale(1); transform-origin: 50% 50%; object-position: 50% 50%; object-fit: cover;\" block_context=\"nasa-block\" srcset=\"https:\/\/www.nasa.gov\/wp-content\/uploads\/2018\/11\/acd18-0137-024.jpg 3000w, https:\/\/www.nasa.gov\/wp-content\/uploads\/2018\/11\/acd18-0137-024.jpg?resize=300,235 300w, https:\/\/www.nasa.gov\/wp-content\/uploads\/2018\/11\/acd18-0137-024.jpg?resize=768,601 768w, https:\/\/www.nasa.gov\/wp-content\/uploads\/2018\/11\/acd18-0137-024.jpg?resize=1024,801 1024w, https:\/\/www.nasa.gov\/wp-content\/uploads\/2018\/11\/acd18-0137-024.jpg?resize=1536,1202 1536w, https:\/\/www.nasa.gov\/wp-content\/uploads\/2018\/11\/acd18-0137-024.jpg?resize=2048,1602 2048w, https:\/\/www.nasa.gov\/wp-content\/uploads\/2018\/11\/acd18-0137-024.jpg?resize=400,313 400w, https:\/\/www.nasa.gov\/wp-content\/uploads\/2018\/11\/acd18-0137-024.jpg?resize=600,469 600w, https:\/\/www.nasa.gov\/wp-content\/uploads\/2018\/11\/acd18-0137-024.jpg?resize=900,704 900w, https:\/\/www.nasa.gov\/wp-content\/uploads\/2018\/11\/acd18-0137-024.jpg?resize=1200,939 1200w, https:\/\/www.nasa.gov\/wp-content\/uploads\/2018\/11\/acd18-0137-024.jpg?resize=2000,1565 2000w\" sizes=\"(max-width: 2048px) 100vw, 2048px\" loading=\"eager\" \/><\/a><\/figure><figcaption class=\"hds-caption padding-y-2\"><div class=\"hds-caption-text p-sm margin-0\">Human-in-the-loop controller station at UAM “shakedown” planning run<\/div><div class=\"hds-credits\">NASA \/ Dominic Hart<\/div><\/figcaption><\/div><\/div><\/div>\n\n\n<p>Three levels of UAM traffic density (high, medium, and low) were represented by vehicles temporally separated en route by 45 seconds, 60 seconds and 90 seconds respectively, on average.<\/p>\n\n\n\n<p>Three different procedures\/conditions were also tested, using helicopter routes in the DFW Area: 1) current helicopter routes, 2) current routes with Letters of Agreement (LOA) that vertically separated the routes and codified the routes with reduced verbal communications, and 3) Modified routes with LOA. The simulation, at NASA Ames Research Center\u2019s Air Traffic Control simulation laboratory, included the participation of seven controllers and thirteen <a href=\"https:\/\/aviationsystems.arc.nasa.gov\/research\/foundations\/pas.shtml\" target=\"_blank\" rel=\"noopener\">pseudo-pilot<\/a> stations from DFW Local East-3 Tower, Addison Airport (ADS) Tower, and the Dallas Love Field Airport (DAL) helicopter controller position.<\/p>\n\n\n<div id=\"\" class=\"hds-media hds-module wp-block-image\"><div class=\"margin-left-auto margin-right-auto nasa-block-align-inline\"><div class=\"hds-media-wrapper margin-left-auto margin-right-auto\"><figure class=\"hds-media-inner hds-cover-wrapper hds-media-ratio-none \"><a href=\"https:\/\/www.nasa.gov\/wp-content\/uploads\/2018\/11\/acd18-0137-027.jpg\"><img loading=\"lazy\" decoding=\"async\" width=\"2048\" height=\"1335\" src=\"https:\/\/www.nasa.gov\/wp-content\/uploads\/2018\/11\/acd18-0137-027.jpg?w=2048\" class=\"attachment-2048x2048 size-2048x2048\" alt=\"Air traffic controller stations with human-in-the-loop testers\" style=\"transform: scale(1); transform-origin: 50% 50%; object-position: 50% 50%; object-fit: cover;\" block_context=\"nasa-block\" srcset=\"https:\/\/www.nasa.gov\/wp-content\/uploads\/2018\/11\/acd18-0137-027.jpg 3000w, https:\/\/www.nasa.gov\/wp-content\/uploads\/2018\/11\/acd18-0137-027.jpg?resize=300,196 300w, https:\/\/www.nasa.gov\/wp-content\/uploads\/2018\/11\/acd18-0137-027.jpg?resize=768,500 768w, https:\/\/www.nasa.gov\/wp-content\/uploads\/2018\/11\/acd18-0137-027.jpg?resize=1024,667 1024w, https:\/\/www.nasa.gov\/wp-content\/uploads\/2018\/11\/acd18-0137-027.jpg?resize=1536,1001 1536w, https:\/\/www.nasa.gov\/wp-content\/uploads\/2018\/11\/acd18-0137-027.jpg?resize=2048,1335 2048w, https:\/\/www.nasa.gov\/wp-content\/uploads\/2018\/11\/acd18-0137-027.jpg?resize=400,261 400w, https:\/\/www.nasa.gov\/wp-content\/uploads\/2018\/11\/acd18-0137-027.jpg?resize=600,391 600w, https:\/\/www.nasa.gov\/wp-content\/uploads\/2018\/11\/acd18-0137-027.jpg?resize=900,587 900w, https:\/\/www.nasa.gov\/wp-content\/uploads\/2018\/11\/acd18-0137-027.jpg?resize=1200,782 1200w, https:\/\/www.nasa.gov\/wp-content\/uploads\/2018\/11\/acd18-0137-027.jpg?resize=2000,1303 2000w\" sizes=\"(max-width: 2048px) 100vw, 2048px\" \/><\/a><\/figure><figcaption class=\"hds-caption padding-y-2\"><div class=\"hds-caption-text p-sm margin-0\">Controller stations in use during the UAM “shakedown” simulation planning run<\/div><div class=\"hds-credits\">NASA \/ Dominic<\/div><\/figcaption><\/div><\/div><\/div>\n\n\n<p>Participants managed UAM traffic as well as conventional Instrument Flight Rules (IFR) and Visual Flight Rules (VFR) traffic around DFW, DAL, and ADS airspace. Data collected included actual separations between flights, throughput, workload, and usability. Data analysis is underway and the feedback received will be used to inform future UAM research. (POC: Savvy Verma) <\/p>\n\n\n\n<p><strong>NASA and a community of government, industry and academic partners are working together on the goal of UAM. Interested in more information on partnering opportunities with SimLabs? <a href=\"\/simlabs\/contact\/\">Contact Us<\/a> today!<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The first Urban Air Mobility (UAM) human-in-the-loop (HITL) simulation successfully completed data collection on September 14, 2018. NASA\u2019s definition for UAM is a safe and efficient system for air passenger and cargo transportation within an urban area, inclusive of small package delivery and other urban Unmanned Aerial Systems (UAS) services, which supports a mix of [...]<\/p>\n","protected":false},"author":171,"featured_media":268736,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"nasa_hds_core_meta_l10n":"en-US","nasa_hds_core_meta_article_editor":"","nasa_hds_core_meta_article_contacts":[],"nasa_hds_core_meta_article_topic":"","nasa_hds_core_meta_linked_locations":[],"nasa_hds_core_meta_article_related_articles":[],"hds_migrate_meta_pr_release_id":"","hds_migrate_meta_pr_release_type":"","nasa_hds_core_meta_location_x":"","nasa_hds_core_meta_location_y":"","nasa_hds_core_meta_gallery_images":[],"footnotes":""},"categories":[2824,13118,2660,2874,10528,2826],"news-tags":[],"internal-terms":[12329],"coauthors":[11740,10420],"parsely":{"version":"1.1.0","meta":{"@context":"https:\/\/schema.org","@type":"NewsArticle","headline":"First Urban Air Mobility (UAM) Human-in-the-Loop Airspace Simulation at 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Mobility","Aeronautics Research Mission Directorate","Air Mobility Pathfinders project"],"dateCreated":"2018-11-28T01:18:00Z","datePublished":"2018-11-28T01:18:00Z","dateModified":"2024-03-07T20:43:21Z"},"rendered":"<meta name=\"parsely-title\" content=\"First Urban Air Mobility (UAM) Human-in-the-Loop Airspace Simulation at SimLabs\" \/>\n<meta name=\"parsely-link\" content=\"https:\/\/www.nasa.gov\/aeronautics\/air-traffic-solutions\/first-urban-air-mobility-uam-human-in-the-loop-airspace-simulation-at-simlabs\/\" \/>\n<meta name=\"parsely-type\" content=\"post\" \/>\n<meta name=\"parsely-image-url\" content=\"https:\/\/www.nasa.gov\/wp-content\/uploads\/2018\/11\/acd18-0137-024.jpg?w=150&h=150&crop=1\" \/>\n<meta name=\"parsely-pub-date\" content=\"2018-11-28T01:18:00Z\" \/>\n<meta name=\"parsely-section\" content=\"Aeronautics\" \/>\n<meta name=\"parsely-tags\" content=\"Aeronautics,Drones & You,Air Traffic Solutions,Advanced Air Mobility,Aeronautics Research Mission 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