Volume 14, Issue 5 (Journal of Control, Vol. 14, No. 5, Special Issue on COVID-19 2021)                   JoC 2021, 14(5): 15-22 | Back to browse issues page

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Mohebbi Najm Abad J, Alizadeh R, Mesgarpour M. Prediction of the spread of Corona-virus carrying droplets in a metro wagon - A computational based artificial intelligence approach. JoC. 2021; 14 (5) :15-22
URL: http://joc.kntu.ac.ir/article-1-822-en.html
1- Islamic Azad University, Quchan, Iran
2- King Mongkut's University of Technology Thonburi (KMUTT), Bangmod, Bangkok
Abstract:   (557 Views)
Assessing the risk of transmitting the coronavirus is essential for protecting public health under the COVID-19 epidemic. Public transportation such as buses and metro wagon is the most important COVID-19 dispersion source. In the last decade, numerical simulation plays a vital role in predicting. In this case study, a combination of numerical simulation and artificial intelligence tries to predict the droplet of the sneezing process. As a case study, the Metro wagon was considered, and droplet dispersion along the bus was studied. The result indicated that the small diameter could easily transport along with the wagon. It also shows that the large area under affected by particle deposition. In this case study, a combination of numerical simulation and artificial intelligence has a great result.
Full-Text [PDF 1057 kb]   (131 Downloads)    
Type of Article: Research paper | Subject: COVID-19
Received: 2020/12/30 | Accepted: 2021/02/13 | Published: 2021/02/28

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