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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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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