Risk of Mid-Air Collision Estimation Using Minimum Spanning Tree of Air Traffic Graph

Kód výsledku v 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>

Výsledek na webu

<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

—

Jazyk výsledku

angličtina

Název v původním jazyce

Risk of Mid-Air Collision Estimation Using Minimum Spanning Tree of Air Traffic Graph

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Risk of Mid-Air Collision Estimation Using Minimum Spanning Tree of Air Traffic Graph

Popis výsledku anglicky

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

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název statě ve sborníku

CEUR Workshop Proceedings

ISBN

—

ISSN

1613-0073

e-ISSN

1613-0073

Počet stran výsledku

13

Strana od-do

335-346

Název nakladatele

CEUR-WS

Místo vydání

Germany

Místo konání akce

Kherson

Datum konání akce

16. 9. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—