000			03408nam a22004455i 4500
999			_c384263 _d384263
001			384263
003			ES-MaUEC
005			20230102122240.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			221203s2022 sz | s |||| 0|eng d
020			_a9783030985745
024	7		_a10.1007/978-3-030-98574-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTL589.4 _b2022 EB
100	1		_aSacharny, David _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9685555
245	1	0	_aLane-Based Unmanned Aircraft Systems Traffic Management _cby David Sacharny, Thomas C. Henderson
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XI, 192 páginas) _b122 ilustraciones, 98 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	1		_aUnmanned System Technologies _x2523-3742
505	0		_aOverview 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.
520			_aThe 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.). Shows how to create and manage a structured urban airspace; Provides strategic deconfliction; Enables practical application anywhere.
988			_aSpringer_Engineering_2022
650		7	_2embne _9681030 _aControladores del tráfico aéreo
650		7	_2embne _9667210 _aDrones
700	1		_aHenderson, Thomas C. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9685556
776	0	8	_iPrinted edition: _z9783030985738
776	0	8	_iPrinted edition: _z9783030985752
776	0	8	_iPrinted edition: _z9783030985769
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-98574-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b12/2022 _dz _eIG _zSI