Predictability of In-block Time Deviations: An Analysis of Operational Data, Tactical Flight Models and Meteorogical Information
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F23%3A00370626" target="_blank" >RIV/68407700:21260/23:00370626 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/NTAD61230.2023.10380175" target="_blank" >https://doi.org/10.1109/NTAD61230.2023.10380175</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/NTAD61230.2023.10380175" target="_blank" >10.1109/NTAD61230.2023.10380175</a>
Alternative languages
Result language
angličtina
Original language name
Predictability of In-block Time Deviations: An Analysis of Operational Data, Tactical Flight Models and Meteorogical Information
Original language description
Efficient airport operations are vital for ensuring the seamless flow of aircraft and passengers. However, real-world airport operations often deviate from meticulously crafted plans, necessitating dynamic resource allocation. These challenges become particularly pronounced during peak operational periods when butter capacity is limited. To address these issues, we conducted an analysis utilizing operational data from the airport, along with Filed Tactical Flight Model and Current Tactical Flight Model data, as well as meteorological information. Our study primarily focuses on incoming flights at Prague Airport, where we employed regression analysis, forward parameter selection, and a brute-force approach to identify key parameters. These parameters significantly enhance the predictability of in-block time deviations and delay caused in individual phases of the flight. Our model successfully explains up to 96 % of the variability in the data. In summary, this research aims to optimize airport operations by bridging the gap between planned and actual in-block times, ultimately enhancing airport efficiency. The comprehensive analysis of various data elements offers valuable insights for airport management and decision-makers.
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
20104 - Transport engineering
Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2023 New Trends in Aviation Development (NTAD)
ISBN
979-8-3503-7042-3
ISSN
2836-2756
e-ISSN
2836-2764
Number of pages
6
Pages from-to
222-227
Publisher name
IEEE Czechoslovakia Section
Place of publication
Praha
Event location
Stary Smokovec
Event date
Nov 23, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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