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Capacity modelling for UAM

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F24%3A00378614" target="_blank" >RIV/68407700:21260/24:00378614 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1139/dsa-2023-0145" target="_blank" >https://doi.org/10.1139/dsa-2023-0145</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1139/dsa-2023-0145" target="_blank" >10.1139/dsa-2023-0145</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Capacity modelling for UAM

  • Original language description

    The management of the operation of unmanned aircraft systems and their integration into the common airspace faces various challenges, among which those associated with determining the airspace capacity can also be included. This paper focuses on this challenge and proposes an approach to determine the airspace capacity through the utilization of mathematical modelling, algorithmization, and statistical methods. The constructed model accurately determines airspace capacity, considering factors such as aircraft size, control methods, and potential conflicts resolved at the strategic level of traffic management. Results from simulations demonstrate the model’s validity and effectiveness, highlighting its potential application in planning and evaluating services that are provided to unmanned aircraft.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20104 - Transport engineering

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Drone Systems and Applications

  • ISSN

    2564-4939

  • e-ISSN

    2564-4939

  • Volume of the periodical

    12

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    CA - CANADA

  • Number of pages

    9

  • Pages from-to

    1-9

  • UT code for WoS article

    001310000200001

  • EID of the result in the Scopus database

    2-s2.0-85204571736