Research Publications

This pooled fund works to foster collaboration between Midwestern states developing connected and automated vehicle strategies.

The Performance Centered Concrete Construction (P3C) initiative develops new processes and technologies to help test and monitor paving concrete for long-term performance.

To enable rapid assessments of infrastructure risk during flooding events, Iowa DOT sought to create the Riverine Infrastructure Database (RIDB).

This project developed tools to evaluate and track sustainability initiatives.

Researchers identified a range of issues and provided recommendations to support transportation agencies in optimizing CV and RWIS data.

This project developed models that simulate the effects of temperature and shrinkage on concrete to fine-tune frame pier bridge design

This project identified a range of issues and provided recommendations to support transportation agencies in optimizing CV and RWIS data.

This project evaluated the performance of a prefabricated concrete barrier that included full scale crash testing the new bridge railing.

This project studied a wireless skin sensor network that engineers applied to the girders of a steel bridge in order to monitor fatigue cracks.

Iowa DOT hosted a research and innovation peer exchange from Sept. 24 - 26, 2024 in Des Moines. This report summarizes attendees’ key takeaways and opportunities to enhance Iowa’s Research program.

The primary objective of this project is to develop updated lighting strategies that create effective lighting for construction activities while also promoting worker and driver safety.

Iowa DOT has tested drone technology for traffic management and flood monitoring.

Researchers will compare asphalt and concrete pavements that undergo preservation treatments with those that do not.

This project aims to develop a draft specification for fine aggregates to evaluate both natural and manufactured sand.

Iowa DOT led a pooled fund study of nine states that share a similar responsibility and commitment to managing essential low-volume routes.

Iowa DOT wanted to understand the best ways to prioritize efforts to reduce negative impacts of roads on protected wildlife.

This project will provide a comprehensive overview of best practices and innovative solutions for accommodating vulnerable road users in work zones.

This project will identify the methods used and the cost differences of ABC and compare them to a regular construction timeline.

This project will collect friction measurements to compare with concurrent weather conditions and use with artificial intelligence to develop a predictive roadway friction model.

In this project, researchers collaborated with three Iowa law enforcement agencies to investigate the impacts of rewards and positive reinforcement on driver behavior.