Remote Sensing Can Help Minnesota Improve Maintenance SafetyApril 20, 2021-Areas with tall grass can obscure hidden objects or even people, posing serious risk to maintenance crews. To reduce the risk, Minnesota DOT investigated remote sensing tools that could be used to identify dangers hidden from the naked eye.
The most promising tools offer a range of sensing capabilities, including infrared/thermal imaging, polarization filtering and radar. These are detailed based on applicability, availability, cost and more.
Read the research synthesis report: Remote Sensing in Maintenance Work, October 2020.
Image source: Minnesota DOT
Illinois Compiles Best Practices for Pothole RepairApril 14, 2021-To better understand how pavement repairs are addressed by transportation agencies across the country, Illinois DOT thoroughly examined available resources to identify the materials, equipment, and techniques commonly used.
The result is a compilation of current pothole repair practices for dozens of state transportation agencies, and the researchers' recommended steps for improving practices in Illinois.
Read the report: Current and Future Best Practices for Pothole Repair in Illinois, February 2021.
Ohio Assesses Influence of Roadside Tree CanopiesApril 6, 2021-Properly maintained roadside trees improve air quality and beautify roadways. Whether trees' canopies adversely affects pavement condition or motorist safety, however, has not been well understood.
Comparing shaded and unshaded road segments, researchers working with Ohio DOT did not find significant differences in the condition of pavements or in driver behavior/performance. They concluded that roadside trees should not be removed routinely, but instead individual trees and specific cases should be addressed.
Iowa Improves Accuracy of Work Zone DataMarch 30, 2021-Accurate construction and maintenance work zone data are essential for all kinds of transportation-related operations, such as traffic management, emergency response, and even post-project evaluation and analysis.
To improve the accuracy of Iowa DOT's data, researchers developed a work zone database that draws real-time information from a variety of sources and integrates it with the agency's existing systems.
Read the report: Developing a Research-Grade Iowa Work Zone Database Final Report, December 2020.
Louisiana Explores Machine Learning to Detect Pavement CracksMarch 23, 2021-After studying and classifying more than 2,500 images depicting concrete surface cracking, researchers working with Louisiana Department of Transportation and Development applied complex mathematical formulas to create an improved digital modeling method to identify pavement cracks.
Together with visual imagery collected with drone or through other means, this could potentially change how roadway maintenance projects are identified and lead to improvements in the speed and accuracy of pavement crack detection.
Improved Data Help Illinois Reduce Work Zone CrashesFebruary 16, 2021-To combat an increase in work zone crashes, Illinois DOT set out to ensure the accuracy and thoroughness of collected data, annual trend calculations, and derived crash modification factors.
With more reliable data and refined models, the state is better positioned to prevent future work zone crashes and harm to construction and maintenance crews.
Read the report: Work Zone Safety Performance on Illinois State Routes, January 2020.
Image source: Michigan DOT