Fall from height (FFH) at the construction sites has the major portion of the total accidents; it may be due to traditional methods of monitoring at the site. For the site manager, manual monitoring … [Read more...] about IMU Based Smart Safety Hook for Fall Prevention at Construction Sites
Machine Learning
Evaluating Mobility Impacts of Construction Work Zones on Utah Transportation System Using Machine Learning Techniques
Construction work zones are inevitable parts of daily operations at roadway systems. They have a significant impact on traffic conditions and the mobility of roadway systems. The traffic impacts of … [Read more...] about Evaluating Mobility Impacts of Construction Work Zones on Utah Transportation System Using Machine Learning Techniques
Evaluating Mobility Impacts of Construction Workzones on Utah Transportation System Using Machine Learning Techniques
Roadside construction – be it a detour, a closed lane, or a slow weave past workers and equipment – work zones impact traffic flow and travel times on a system-wide level. The ability to predict … [Read more...] about Evaluating Mobility Impacts of Construction Workzones on Utah Transportation System Using Machine Learning Techniques
Crash Prediction for Freeway Work Zones in Real Time: A Comparison Between Convolutional Neural Network and Binary Logistic Regression Model
Safety of drivers in freeway work zones has been a problem. Real-time crash prediction helps prevent crashes before they happen. This paper looks at real-time crash prediction in freeway work zones by … [Read more...] about Crash Prediction for Freeway Work Zones in Real Time: A Comparison Between Convolutional Neural Network and Binary Logistic Regression Model
Using Smart Work Zone Trailer Data to Evaluate and Predict Lane Closure Impacts With a Consideration of Work Intensity
This report describes the implementation of machine learning (ML) models to the prediction of work zone traffic impacts including local speed and traffic volume changes and corridor-level travel time … [Read more...] about Using Smart Work Zone Trailer Data to Evaluate and Predict Lane Closure Impacts With a Consideration of Work Intensity
Identifying Factors Associated With Roadside Work Zone Collisions Using Machine Learning Techniques
Identifying factors that are associated with the probability of roadside work zone collisions enables decision makers to better assess and control the risk of scheduling a particular maintenance or … [Read more...] about Identifying Factors Associated With Roadside Work Zone Collisions Using Machine Learning Techniques