Prediction of the spread of Corona-virus carrying droplets in a metro wagon - A computational based artificial intelligence approach

Assessing the risk of transmitting the corona virus is important for protecting public health under the COVID-19 epidemic. Public transportation such as bus and metro wagon, are the most important source of COVID 19 dispersion. In the last decade, numerical simulation plays important roles in predicting. In this case study, by a combination of numerical simulation and artificial intelligence, tries to predict the droplet of sneezing process. Metro wagon as a case study was considered and dispersion of droplet along the bus was studied. The result indicated that the small diameter can easily transport along the wagon. It’s also shows that the large area under affected to particle deposition. In this case study, combination of numerical simulation and artificial intelligent has a great result.