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.
The Transportation Informatics Tier I University Transportation Center (TransInfo) is excited to host the 2017 Annual Summer Meeting of the Council of the University Transportation Centers (CUTC) from June 19th - 21st, 2017!
The CUTC Summer Meeting attracts the nation’s leading transportation professionals from the academia and industry along with U.S. DOT and other transportation agency officials. The meeting serves as a venue to exchange information and enhance collaboration between university transportation centers, and between centers, the US Department of Transportation, and other agencies. Learn More.