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.
The primary objective of this project is to develop specifications for the product mix, shoulder construction, and maintenance of completed RCC road shoulders.
The purpose of this project is to create BrR input models for standard bridges to help bridge owners rate the over 24,000 standard bridges currently in Iowa.
This project is evaluating existing Iowa DOT rock check dam standards along with proposed modifications to determine and develop the most efficient, cost-
effective designs and installation methods.
This project will extend the algorithms developed in earlier research using connected vehicle data to design a more advanced work zone management system.
This project will create a comprehensive, updated reference document for identifying which Iowa law code sections and case law apply to county and district projects.
Investigators demonstrated successful implementation of a surfacing method using locally available aggregate and developed construction specifications to guide its use on Iowa roads.
A new research project developed tools that transportation agencies can use to help local engineers determine when weight
restrictions can safely be lifted.
This research will identify problems and survey the industry to identify the best methods and equipment for successful joint sawing of different mix types.