Construction of a Factor Model Focused on the Reduction of Difficulties in Road Traffic : доклад, тезисы доклада

Описание

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/IEMTRONICS55184.2022.9795824

Ключевые слова: regression analysis, mathematical model, climate, temperature factors, traffic jams

Аннотация: The article collected and structured data for regression analysis. The reasons for which cork is formed in the city of Krasnoyarsk were considered. Using the collected data, a primary histogram (not tested for emissions) was constructed. The following factors were identified as relevant and weak-influencing factors for the construcПоказать полностьюtion of the correlation table, this table helps to identify the superfluous influence on the formation of traffic jams. Taking into account the table, a new histogram was constructed and a correlation table was created, which allows to start regression analysis. At the beginning of the regression analysis regression statistics are used and the variance analysis is carried out, then the regression analysis is made directly and the regression results are summarized. Based on the summing up of the histogram, which takes into account all statistics and calculations, which reflects the predicted number of traffic jams and the real factors influencing the formation of traffic jams.

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Издание

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

Номера страниц: 9795824

Издатель: Institute of Electrical and Electronics Engineers

Персоны

  • Fedorova Natalia (Siberian Federal University)
  • Myrugin Aleksander (Reshetnev Siberian State University of Science and Technology)
  • Filushina Elena (Reshetnev Siberian State University of Science and Technology)
  • Seregin Yuriy (Reshetnev Siberian State University of Science and Technology)
  • Vaitekunene E.L. (Siberian Federal University)
  • Danilchenko Yu.V. (Reshetnev Siberian State University of Science and Technology)

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