• DocumentCode
    3076302
  • Title

    An Unmanned Aerial Traffic Management solution for cities using an air parcel model

  • Author

    Foina, Aislan Gomide ; Krainer, Clemens ; Sengupta, Raja

  • Author_Institution
    Civil & Environ. Eng., Univ. of California, Berkeley, Berkeley, CA, USA
  • fYear
    2015
  • fDate
    9-12 June 2015
  • Firstpage
    1295
  • Lastpage
    1300
  • Abstract
    The Unmanned Aerial System (UAS) market once belonged to professional companies only. Now many amateur pilots fly cheap, smartphone controlled models available in any electronic store. Due to altitude, speed, and weight, these flying objects can cause damage and injury. Hence, a way to manage them is necessary. This paper presents a UAS Traffic Management (UTM) system comprising three components: a UAS electronic identification plate with an embedded logger, a ground identification equipment, and a Traffic Routing System (TRS). This UTM system uses the air parcel model, which divides the low altitude airspace in a 3-D air parcel map. In this system, land parcel owners possess the airspace above their real estate and approve or disallow overflights. The adoption of the described UTM allows cities to control UASs, to detect non-compliant flights, and to identify pilots.
  • Keywords
    air traffic control; autonomous aerial vehicles; embedded systems; 3D air parcel map; TRS; UAS electronic identification plate; UAS traffic management system; UTM system; embedded logger; flying objects; ground identification equipment; land parcel owners; low-altitude airspace; noncompliant flight detection; pilot identification; traffic routing system; unmanned aerial traffic management; Atmospheric modeling; Cameras; Cities and towns; Global Positioning System; Image color analysis; Licenses; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Unmanned Aircraft Systems (ICUAS), 2015 International Conference on
  • Conference_Location
    Denver, CO
  • Print_ISBN
    978-1-4799-6009-5
  • Type

    conf

  • DOI
    10.1109/ICUAS.2015.7152423
  • Filename
    7152423