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
Detection and Identification
Real-Time Monitoring of Work-at-Height Safety Hazards in Construction Sites Using Drones and Deep Learning
The construction field is considered one of the most dangerous industries. Accidents and fatalities take place on a daily basis in construction projects. Globally, different levels of government have … [Read more...] about Real-Time Monitoring of Work-at-Height Safety Hazards in Construction Sites Using Drones and Deep Learning
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
A Sensor-Based Method to Detect Near-Miss Struck-By on Construction Site
As a precursor of serious accident, near-miss incidents are of great significance to construction safety management. A real-time detection method for near-miss incidents can improve the performance of … [Read more...] about A Sensor-Based Method to Detect Near-Miss Struck-By on Construction Site
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, 3-D Lidar & Artificial Intelligence in Support of Congestion Mitigation Model Calibration & 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, 3-D Lidar & Artificial Intelligence in Support of Congestion Mitigation Model Calibration & Validation