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Work Zone Safety Information Clearinghouse

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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

A Deep Machine Learning Approach for Predicting Freeway Work Zone Delay Using Big Data

The introduction of deep learning and big data analytics may significantly elevate the performance of traffic speed prediction. Work zones become one of the most critical factors causing congestion … [Read more...] about A Deep Machine Learning Approach for Predicting Freeway Work Zone Delay Using Big Data

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Copyright © 2025 American Road & Transportation Builders Association (ARTBA). The National Work Zone Safety Information Clearinghouse is a project of the ARTBA Transportation Development Foundation. It is operated in cooperation with the U.S. Federal Highway Administration and Texas A&M Transportation Institute. | Copyright Statement · Privacy Policy · Disclaimer
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