FHWA is engaging with State Departments of Transportation (DOTs) and conducting research to understand work zone mobility performance measurement best practices, challenges, and opportunities. The … [Read more...] about Measuring Work Zone Mobility Performance Using the National Performance Management Research Data Set (NPMRDS) – Case Study: Application to the Texas Department of Transportation GO I-10 Project
Economic and Social Factors
Road Work Ahead: Using Deep Neural Networks to Estimate the Impacts of Work Zones
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 Road Work Ahead: Using Deep Neural Networks to Estimate the Impacts of Work Zones
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
Queue Analysis at Work Zones From Field-Collected Data
Estimation of the capacity of work zones is vital to manage the possibility of traffic flows exceeding capacity and resulting in unbearable queues during work zone lane closures. A plethora of … [Read more...] about Queue Analysis at Work Zones From Field-Collected Data
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
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