Analysis of the Influence of Factors on Flight Delays in the United States Using the Construction of a Mathematical Model and Regression Analysis

Описание

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: 1 June 2022 through 4 June 2022; 180242; 180242

Год издания: 2022

Идентификатор DOI: 10.1109/IEMTRONICS55184.2022.9795721

Ключевые слова: climate, mathematical model, regression analysis, temperature factors, temperature sensation

Аннотация: The paper complied and structured data to construct a correlation model. The reasons for flight delays and cancellations between 2009 from 2019 are examined, based on the statistical electronic source "Bureau of Transportation Statistics". The normalized data are calculated from the primary data. Based on the data collected, a primПоказать полностьюary histogram was constructed (outliers were not checked). In addition, significant and weak influencing factors have been identified for the constructing of a correlation table, this table helps to identify an additional factor influencing a flight delay or cancellation. Based on the data from the table, a new histogram was built and a correlation table was constructed, allowing regression analysis to be started. At the beginning of the regression analysis, regression statistics are used and an analysis of variance is performed, then the regression analysis is performed directly and the results of the regression are summed up. Based on the summed-up results, a histogram was built, which takes into account all the statistics and calculations, showing the predicted number of delays or cancellations of flights and their actual number. © 2022 IEEE.

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Издание

Журнал: 2022 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2022

Издатель: 2022 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2022

Персоны

  • Kireev T. (Reshetnev Siberian State University of Science and Technology, Department of Information Economic Systems, Krasnoyarsk, Russian Federation)
  • Kukartsev V. (Reshetnev Siberian State University of Science and Technology, Department of Information Economic Systems, Krasnoyarsk, Russian Federation, Siberian Federal University, Department of Informatics, Krasnoyarsk, Russian Federation, Bauman Moscow State Technical University, Digital Material Science: New Materials and Technologie, Krasnoyarsk, Russian Federation)
  • Pilipenko A. (Reshetnev Siberian State University of Science and Technology, Department of Information Economic Systems, Krasnoyarsk, Russian Federation)
  • Rukosueva A. (Reshetnev Siberian State University of Science and Technology, Department of Information Economic Systems, Krasnoyarsk, Russian Federation)
  • Suetin V. (Reshetnev Siberian State University of Science and Technology, Department of Information Economic Systems, Krasnoyarsk, Russian Federation)

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