Optimizing Flight Delay Predictions with Scorecard Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F26%3A00564515" target="_blank" >RIV/60162694:G43__/26:00564515 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/journal/applsci/" target="_blank" >https://www.mdpi.com/journal/applsci/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/app15115918" target="_blank" >10.3390/app15115918</a>
Alternative languages
Result language
angličtina
Original language name
Optimizing Flight Delay Predictions with Scorecard Systems
Original language description
Flight delays represent a significant challenge for airlines, airports, and passengers, impacting operational costs and customer satisfaction. Traditional prediction methods often rely on complex statistical analysis and mathematical models that may not be easily implementable. This study proposes scorecards as an innovative and simplified approach to forecast flight delays. Historical flight data from the United States were used, incorporating variables such as departure and arrival times, flight routes, aircraft types, and other factors related to delay. Exploratory data analysis identified key variables influencing delays, and scorecards were constructed by assigning weights, normalizing, and scaling variables to improve interpretability. The model was validated using test datasets, and predictive performance was evaluated by comparing forecast delays with actual results. The results indicate that scorecards provide accurate and interpretable predictions of flight delays. This method facilitates the identification of critical factors that contribute to delays and allows for an estimation of their likelihood and duration. Scorecards offer a practical tool for airlines and airport operators, potentially enhancing decision-making processes, reducing delay-related costs, and improving service quality. Future research should explore the integration of scorecards into operational systems and the inclusion of additional variables to increase model robustness and generalizability.
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
21100 - Other engineering and technologies
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Applied Sciences-Basel
ISSN
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e-ISSN
2076-3417
Volume of the periodical
15
Issue of the periodical within the volume
11
Country of publishing house
CH - SWITZERLAND
Number of pages
30
Pages from-to
5918
UT code for WoS article
001505779000001
EID of the result in the Scopus database
2-s2.0-105007694233