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
Information Processing
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
Toward AI-Enabled Augmented Reality to Enhance the Safety of Highway Work Zones: Feasibility, Requirements, and Challenges
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
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