What's New?

CTDOT's research project, “Adaptation of 3D Scanning Technology for High-Precision Bridge Inspection,” received a 2026 AASHTO High-Value Research Award for Region 1. A University of Connecticut study validated that handheld 3D scanners capture bridge conditions to sub-millimeter precision. CTDOT's Bridge Division now uses the technology to develop engineered repairs after bridge strikes and to document historic Merritt Parkway structures. The award recognizes how validated research became a practical tool that engineers use to solve real problems in the field.

For more on our recent work, see the 2025 Research Bulletin.

Final Reports

Reports from recently completed CTDOT-sponsored research projects.

 

Analyzing NPMRDS Using Advanced Machine Learning to Enhance Road Safety, Public Health and System Performance

Data Infographics for CTfastrak and the Hartford Line Survey

Effectiveness monitoring of CTDOT conservation areas: pollinator habitat survey

Artificial Intelligence (AI) and Markov Process Based Data Mining on Predicting Bridge Operating Conditions

Highway Sign Support Systems: Condition Assessment Deterioration Models and Asset Management.

Adaption of 3D scanning technology for high precision bridge inspection