CIE 573LEC - Transportation Analytics

This course aims to provide students with a general background of various statistical analysis techniques and data mining methods that are used in transportation systems. It covers various practical analytical topics in transportation and logistics, including model estimation, data analysis, traffic forecasting, and incident prediction. A broad range of transportation related techniques are covered in statistics, data mining and optimization skills, such as Logistic Regression, Poisson Regression, Time Series Modeling, Survival Analysis, Classification, and Clustering. Popular statistical modeling software will be used to solve various practical problems.

Credits: 3

Term Typically Offered: Spring