This peer exchange brought together State Departments of Transportation (DOTs) to discuss and share UAS work zone management practices. States that have implemented UAS programs have found that the … [Read more...] about EDC-5 Unmanned Aerial Systems (UAS) for Work Zones Peer Exchange in Columbus, Ohio
Detection and Identification Systems
Vision-Based Warning System for Maintenance Personnel on Short-Term Roadwork Site
Researchers propose a vision-based warning system for the maintenance personnel working on short-term construction sites. Traditional solutions use passive protection, like setting up traffic cones, … [Read more...] about Vision-Based Warning System for Maintenance Personnel on Short-Term Roadwork Site
Simulation of Roadside LiDAR Applications: A Smart Work Zone Case Study
Light detection and ranging (LiDAR) have the capability to detect 360-degree surrounding objects with high accuracy (centimeter level), high frequency (a tenth of a second), and long measuring … [Read more...] about Simulation of Roadside LiDAR Applications: A Smart Work Zone Case Study
Automated Vehicle Detection Systems Data as a Promising Approach for Roadway Construction Planning: The Case of Dallas, Texas, Highway System
Construction activities on roadway infrastructure have adverse impacts on traffic safety and mobility because of often needed lane and shoulder closures. Existing approaches for planning roadway … [Read more...] about Automated Vehicle Detection Systems Data as a Promising Approach for Roadway Construction Planning: The Case of Dallas, Texas, Highway System
Quantitatively Evaluate Work Zone Driver Behavior Using 2D Imaging, 3D LiDAR, and Artificial Intelligence in Support of Congestion Mitigation Model Calibration and Validation
This project addressed the following: 1) a lack of a system to process raw traffic footage obtained from work zones to extract traffic and driver behavior information, especially systems that leverage … [Read more...] about Quantitatively Evaluate Work Zone Driver Behavior Using 2D Imaging, 3D LiDAR, and Artificial Intelligence in Support of Congestion Mitigation Model Calibration and Validation