Highway work zones are considered among the most hazardous working environments. In 2018 alone, 124 workers lost their lives to fatal accidents. The lack of predictive safety systems that notify … [Read more...] about Toward AI-Enabled Augmented Reality to Enhance the Safety of Highway Work Zones: Feasibility, Requirements, and Challenges
Information Processing
RITIS: A Probe-Data Source for Enhancing Operations and Planning Capabilities
The Regional Integrated Transportation Information System (RITIS) is an automated fusion and archiving system of real-time traffic, incident, and weather data obtained from agencies and communicated … [Read more...] about RITIS: A Probe-Data Source for Enhancing Operations and Planning Capabilities
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