Linear Programming Final Project, data from TISV, Traffic Information Service.
• Reptiled the data from Traffic Information Service, M03A, the time interval is 2016/6/14-2018/6/14.
• Implemented data consolidation and data clustering. Further, picked the outliers by data visualization.
• Found out the other three variables which are matched dependent variable's data format.
• Employed different Linear Regression models to predict the outcome, and looked over whether it is the collinear condition by calculating variance inflation faction.
• Predicted all the variables through ARIMA.
• Printed the outcome by putting predictands of variables into the regression model.