Estimating Aircraft Take-Off Roll Time Using ADS-B Data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F24%3A00375732" target="_blank" >RIV/68407700:21260/24:00375732 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.23919/NTCA60572.2024.10517811" target="_blank" >https://doi.org/10.23919/NTCA60572.2024.10517811</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.23919/NTCA60572.2024.10517811" target="_blank" >10.23919/NTCA60572.2024.10517811</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Estimating Aircraft Take-Off Roll Time Using ADS-B Data

Popis výsledku v původním jazyce

This paper explores the potential of refining the Landing and Take-off (LTO) cycle originally defined by the International Civil Aviation Organization (ICAO) through the use of Automatic Dependent Surveillance-Broadcast (ADS-B) data. In this paper, a methodology is developed to automatically analyze ADS-B data within the ASTERIX data format in order to estimate the duration of the take-off roll of individual airport movements, hence improving the time duration parameter of the take-off phase of the LTO cycle. By employing ADS-B data complemented by crowd-sourced aircraft databases, the paper also offers insights into the variations of take-off roll time among various aircraft types. The results show that using ADS-B data provides a good picture of actual operating conditions at the airport, thus enabling more accurate calculations of emissions within the LTO cycle and contributing to an improved understanding of the extent of environmental impacts of aviation activities at airports. This research contributes to the advancement of LTO cycle analysis, emphasizing the necessity of using real data in order to enhance its accuracy.

Název v anglickém jazyce

Estimating Aircraft Take-Off Roll Time Using ADS-B Data

Popis výsledku anglicky

This paper explores the potential of refining the Landing and Take-off (LTO) cycle originally defined by the International Civil Aviation Organization (ICAO) through the use of Automatic Dependent Surveillance-Broadcast (ADS-B) data. In this paper, a methodology is developed to automatically analyze ADS-B data within the ASTERIX data format in order to estimate the duration of the take-off roll of individual airport movements, hence improving the time duration parameter of the take-off phase of the LTO cycle. By employing ADS-B data complemented by crowd-sourced aircraft databases, the paper also offers insights into the variations of take-off roll time among various aircraft types. The results show that using ADS-B data provides a good picture of actual operating conditions at the airport, thus enabling more accurate calculations of emissions within the LTO cycle and contributing to an improved understanding of the extent of environmental impacts of aviation activities at airports. This research contributes to the advancement of LTO cycle analysis, emphasizing the necessity of using real data in order to enhance its accuracy.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20304 - Aerospace engineering

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název statě ve sborníku

New Trends in Civil Aviation: Proceedings of the 24th International Conference on New Trends in Civil Aviation 2024

ISBN

978-80-01-07181-6

ISSN

2694-7854

e-ISSN

—

Počet stran výsledku

6

Strana od-do

197-202

Název nakladatele

České vysoké učení technické v Praze

Místo vydání

Praha

Místo konání akce

Praha

Datum konání akce

25. 4. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001223424800005