Lane-Based Unmanned Aircraft Systems Traffic Management
(Sprache: Englisch)
The age of Advanced Air Mobility (AAM) is upon us, and in ushering new ways to connect and travel, this wave of technology has been compared to GPS and cloud computing. However, new technologies like AAM require tools to build, expand, and understand the...
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The age of Advanced Air Mobility (AAM) is upon us, and in ushering new ways to connect and travel, this wave of technology has been compared to GPS and cloud computing. However, new technologies like AAM require tools to build, expand, and understand the capabilities. This book describes an effective and efficient, complete solution to the large-scale, unmanned aircraft systems (UAS) traffic management problem. The authors present a detailed perspective and solutions to some of the major problems involved in coordinating thousands of autonomous vehicles including: virtual highway (lane) creation, strategic deconfliction of flights, dynamic deconfliction, UAS agent behavior learning, anomalous trajectory detection and classification, as well as a set of simulation results for a variety of scenarios (city package delivery, earthquake supply delivery, coalition force coordination through the lane reservation system, etc.).Inhaltsverzeichnis zu „Lane-Based Unmanned Aircraft Systems Traffic Management “
Overview of UAS Economic Impact and Current State of Affairs.- Status of FAA-NASA UTM Approach.- Overview of Lane-Based Method.- Lane Network Creation and Spatial Network Measures.- Strategic Deconfliction (making sure flights are safe!).- Monitoring UAS Flights and Rogue Detection.- Comparison of FAA-NASA vs Lane-Based Method.- Contingency Handling (when things go wrong).- Agent Based Modeling and Simulation of UTM-UAS Systems.- UAS Supply Delivery in Earthquake Scenario.- UAS Coalition Forces Coordination Scenario.
Autoren-Porträt von David Sacharny, Thomas C. Henderson
David Sacharny received a BS in Electrical Engineering from California Polytechnic State University, San Luis Obispo in 2010. He is a PhD candidate in computing and robotics at the University of Utah, and a managing member of GeoRq LLC. Previously, he worked as a lead engineer and developer for L3Harris (formerly L3 Communications) on a range of programs, including Apache MUMT-X, Gray Eagle UAS, and Broad Area Maritime Surveillance (MQ-4C Triton UAS). His research interests concern geospatial intelligence, large-scale UAS traffic management, and artificial intelligence. In 2020, his research spinoff GeoRq LLC signed a space act agreement with NASA and was one of a few challengers in the Advanced Air Mobility National Campaign Developmental Test (NC-1) airspace simulations. He is listed on several patents related to big-data, internet-of-things, and autonomous vehicles.
Bibliographische Angaben
- Autoren: David Sacharny , Thomas C. Henderson
- 2022, 1st ed. 2022, XI, 192 Seiten, 98 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3030985733
- ISBN-13: 9783030985738
Sprache:
Englisch
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