Risk of Mid-Air Collision Estimation Using Minimum Spanning Tree of Air Traffic Graph
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13440%2F21%3A43897022" target="_blank" >RIV/44555601:13440/21:43897022 - isvavai.cz</a>
Result on the web
<a href="https://ceur-ws.org/Vol-3101/Paper24.pdf" target="_blank" >https://ceur-ws.org/Vol-3101/Paper24.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Risk of Mid-Air Collision Estimation Using Minimum Spanning Tree of Air Traffic Graph
Original language description
The safety of air transportation is based on different risk estimations and control. A mid-air collision is one of the dangerous events in aviation due to both air-planes involved in the catastrophe. Risk of a mid-air collision is considered as a probability of airplane deviation to the safety area of another airspace user in horizontal and vertical planes. A double exponential function is used as a probability density function to estimate probability of airplane deviation from a preplanned position. A theory of Graph has been used to detect the closest pairs of airplanes. Thus, air traffic has been represented as an undirected, connected graph. The probability density function is fixed at nodes of the air traffic graph along of optimal minimum spanning tree path. A minimum of separation is used to build a safety area around each airspace user. In numerical application, live air traffic data within Ukrainian airspace has been used under Automatic-Dependent Surveillance-Broadcast technology
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
CEUR Workshop Proceedings
ISBN
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ISSN
1613-0073
e-ISSN
1613-0073
Number of pages
13
Pages from-to
335-346
Publisher name
CEUR-WS
Place of publication
Germany
Event location
Kherson
Event date
Sep 16, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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