Machine Learning Forecast of Metro Interstate Traffic Volume

Today’s traffic is a serious problem that affects everyone and is upsetting for those who deal with it on a regular basis. Traffic congestion is caused by population growth and becomes worse every day. Modern society is aware of it, yet powerless to take significant action to shield people from harm. Using a number of techniques and patterns, we may monitor traffic, gather information, and forecast incoming and following observations. After the observation agency has made its observations, predictions are then made. The most common incident in a person's life is getting stuck in traffic in a big metropolis. Xgboost Regression, Random Forest Regression, Voting Regression, and other machine learning techniques will be used in this project to create a prediction model.