The increasing number of work zone crashes has been a significant concern for road users, transportation agencies, and researchers. Crashes can be caused by work zones, and this effect changes across … [Read more...] about Inferring Heterogeneous Treatment Effects of Work Zones on Crashes
Machine Learning
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
Safety Helmet Detection at Construction Sites Using YOLOv5 and YOLOR
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
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
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
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