Researchers at the University of Colorado Denver found that mobile sensing capabilities found in newer iPhones can be a cost-effective way to assess if sidewalks, curb ramps, and other infrastructure are accessible to those with disabilities.
Research at South Dakota State University is leading to improved compaction of roadway base materials, resulting in time savings, safer testing procedures, and longer-lasting pavements.
University of Wyoming researchers used advanced statistical modeling, machine learning, data mining applications, safety data visualizations, high-fidelity driving simulator experiments, and traffic microsimulation modeling to evaluate CV technologies. Their work is a crucial first step in identifying the issues associated with integrating CV technology into roadway operational strategies.
Research at the University of Wyoming leveraged easily accessible data from roadside cameras to develop an affordable automatic road weather and surface condition detection system. The project’s results will help enhance the Advanced Traveler Information System by improving the identification of weather conditions using existing WYDOT infrastructure.
