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/IEMTRONICS55184.2022.9795824

Ключевые слова: climate, mathematical model, regression analysis, 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. © 2022 IEEE.

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

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

• Fedorova N. (Reshetnev Siberian State University of Science and Technology, Department of Management, Krasnoyarsk, Russian Federation, Siberian Federal University, Department of Advertising and Social and Cultural Activities, Krasnoyarsk, Russian Federation)
• Myrugin A. (Reshetnev Siberian State University of Science and Technology, Information Control Systems Department, Krasnoyarsk, Russian Federation)
• Filushina E. (Reshetnev Siberian State University of Science and Technology, Department of Information Economic Systems, Krasnoyarsk, Russian Federation)
• Seregin Y. (Reshetnev Siberian State University of Science and Technology, Information Control Systems Department, Krasnoyarsk, Russian Federation)
• Vaitekunene E. (Reshetnev Siberian State University of Science and Technology, Department of Information Economic Systems, Krasnoyarsk, Russian Federation, Siberian Federal University, Krasnoyarsk, Russian Federation, Siberian Fire and Rescue Academy of the Russian Ministry of Emergency Situations, Department of Civil Defence and Emergency Management, Krasnoyarsk, Russian Federation)
• Danilchenko Y. (Reshetnev Siberian State University of Science and Technology, Department of Management, Krasnoyarsk, Russian Federation)

• Scopus