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Transportation Informatics University Transportation Center

Harnessing the power of “Big Data” to address transportation challenges.

Transportation Informatics (TransInfo) mines the wealth of data by employing a wide variety of methods, tools and models, including methods from Artificial Intelligence (AI), Machine Learning, Statistics, and Database Systems. 

When these methods are applied to large datasets (these are now often referred to as “Big Data”) that have been appropriately compiled and fused together, the result is invaluable and actionable information that can help improve transportation systems efficiency, safety, sustainability and resiliency, inform and guide transportation planning, investment decisions, and transportation policies.