Lane-Based Unmanned Aircraft Systems Traffic Management



de

,

Éditeur :

Springer


Collection :

Unmanned System Technologies

Paru le : 2022-05-09



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Description
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.).
Pages
192 pages
Collection
Unmanned System Technologies
Parution
2022-05-09
Marque
Springer
EAN papier
9783030985738
EAN PDF
9783030985745

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
8591 Ko
Prix
84,39 €
EAN EPUB
9783030985745

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
63334 Ko
Prix
84,39 €