Maintenance of traffic (MOT) during construction periods is critical to the success of project delivery and the overall mission of transportation agencies. MOT plans may include full road closures and … [Read more...] about Synthesis Study of Best Practices for Mapping and Coordinating Detours for Maintenance of Traffic (MOT) and Risk Assessment for Duration of Traffic Control Activities
Insurance
Development of Risk-Based Protocol for KDOT Construction Inspection
State Departments of Transportation (DOTs) have been facing a challenge of shrinking budgets and substantial reductions in both the numbers and experience levels of inspectors over the last decade. … [Read more...] about Development of Risk-Based Protocol for KDOT Construction Inspection
Work Zone Safety for Maintenance Operations on Rural Highways: Part 6 – Legal Liability
Hazard Identification and Risk Assessment in Road Construction Projects in Chhattisgarh
In the past decade, road construction work in the state of Chhattisgarh has increased at an enormous rate in order to achieve the targets of PMKVY Scheme of Indian government. With the increase in … [Read more...] about Hazard Identification and Risk Assessment in Road Construction Projects in Chhattisgarh
Evaluation of Current Technologies for Training, Web Apps, and New Technologies
This report details the activities conducted to assess the feasibility of using new technology tools for safety training. Utilizing established research studies, risk frameworks, and vendor … [Read more...] about Evaluation of Current Technologies for Training, Web Apps, and New Technologies
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