Wearing a helmet is mandatory for workers at construction sites. It is very important for the safety of workers during work. In many scenarios, detecting workers not wearing helmets can prevent … [Read more...] about Safety Helmet Detection at Construction Sites Using YOLOv5 and YOLOR
Information Processing
Characterization, Detection, and Segmentation of Work-Zone Scenes From Naturalistic Driving Data
This paper elucidates the automatic detection and analysis of work zones (construction zones) in naturalistic roadway images. An underlying motivation is to identify locations that may pose a … [Read more...] about Characterization, Detection, and Segmentation of Work-Zone Scenes From Naturalistic Driving Data
County Trials New Tech to Stay Ahead in Winter Roads Maintenance
State-of-the-art technology is due to be employed to monitor North Yorkshire’s vast network of roads throughout the winter months to help ensure routes can be kept open during severe weather. North … [Read more...] about County Trials New Tech to Stay Ahead in Winter Roads Maintenance
Severity Modeling of Work Zone Crashes in New Jersey Using Machine Learning Models
In the United States, the probability of work zone crashes has increased due to an increase in renovation works by transportation infrastructures. The severity of work zone crashes is associated with … [Read more...] about Severity Modeling of Work Zone Crashes in New Jersey Using Machine Learning Models
Work Zone Crash Occurrence Prediction Based on Planning Stage Work Zone Configurations Using an Artificial Neural Network
Work zones are essential to maintain and improve road infrastructure. However, work zones affect traffic safety, and crashes and fatalities associated with work zones in the U.S.A. have increased … [Read more...] about Work Zone Crash Occurrence Prediction Based on Planning Stage Work Zone Configurations Using an Artificial Neural Network
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