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SynthATDelays : A Minimalist Python Package for the Generation of Synthetic Air Transport Delay Data.

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Název: SynthATDelays : A Minimalist Python Package for the Generation of Synthetic Air Transport Delay Data.
Autoři: Büth, Carlson Moses, Zanin, Massimiliano
Zdroj: Aerospace (MDPI Publishing); Oct2025, Vol. 12 Issue 10, p900, 14p
Témata: PYTHON programming language, MODULAR design, CAUSAL inference
Abstrakt: Within the endeavour of describing and analysing delays and their propagations in air transport, a major limitation is represented by the validation of the obtained results. While this can be overcome through synthetic models, those available in the literature mostly aim at simulating the system in a detailed and realistic way, resulting in high complexity and substantial computational costs. We here present SynthATDelays, a minimalist and modular Python package designed to simulate a virtual customisable air transport system and to provide synthetic delay data under tuneable conditions; it is thus designed to support the validation of data-based studies and pipelines. We describe its internal structure and provide examples about how scenarios can be designed and executed. We further show how it can be used to tackle two relevant questions, i.e., the role of operational buffer times in the absorption of delays and the comparison and optimisation of causality tests to detect the propagation thereof. [ABSTRACT FROM AUTHOR]
Copyright of Aerospace (MDPI Publishing) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Databáze: Complementary Index
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DbLabel: Complementary Index
An: 188957131
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  Label: Title
  Group: Ti
  Data: SynthATDelays : A Minimalist Python Package for the Generation of Synthetic Air Transport Delay Data.
– Name: Author
  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Büth%2C+Carlson+Moses%22">Büth, Carlson Moses</searchLink><br /><searchLink fieldCode="AR" term="%22Zanin%2C+Massimiliano%22">Zanin, Massimiliano</searchLink>
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  Data: Aerospace (MDPI Publishing); Oct2025, Vol. 12 Issue 10, p900, 14p
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  Data: <searchLink fieldCode="DE" term="%22PYTHON+programming+language%22">PYTHON programming language</searchLink><br /><searchLink fieldCode="DE" term="%22MODULAR+design%22">MODULAR design</searchLink><br /><searchLink fieldCode="DE" term="%22CAUSAL+inference%22">CAUSAL inference</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Within the endeavour of describing and analysing delays and their propagations in air transport, a major limitation is represented by the validation of the obtained results. While this can be overcome through synthetic models, those available in the literature mostly aim at simulating the system in a detailed and realistic way, resulting in high complexity and substantial computational costs. We here present SynthATDelays, a minimalist and modular Python package designed to simulate a virtual customisable air transport system and to provide synthetic delay data under tuneable conditions; it is thus designed to support the validation of data-based studies and pipelines. We describe its internal structure and provide examples about how scenarios can be designed and executed. We further show how it can be used to tackle two relevant questions, i.e., the role of operational buffer times in the absorption of delays and the comparison and optimisation of causality tests to detect the propagation thereof. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Aerospace (MDPI Publishing) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.3390/aerospace12100900
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        Text: English
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        Type: general
      – SubjectFull: MODULAR design
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              Text: Oct2025
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              Y: 2025
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