Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: 2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS); Toronto; Toronto
Год издания: 2022
Идентификатор DOI: 10.1109/IEMTRONICS55184.2022.9795721
Ключевые слова: regression analysis, mathematical model, climate, temperature sensation, temperature factors
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.
Журнал: 2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)
Номера страниц: 9795721
Издатель: Institute of Electrical and Electronics Engineers