Construction work zone crashes represent a critical area of concern within the realm of traffic safety, posing unique challenges for both road users and transportation authorities. Common factors … [Read more...] about A Hybrid Framework for Predicting Crash Severity in Construction Work Zones Using Knowledge Distillation and Conditional GANs
Crash Severity
Investigation of Factors Affecting Crash Severity of Rear-End Crashes With High Collision Speeds in Work Zones: A South Carolina Case Study
The aim of this study is to identify factors that affect injury severity levels of work zone rear-end crashes with high collision speeds (35 mi/hr). Using statewide crash data provided by the South … [Read more...] about Investigation of Factors Affecting Crash Severity of Rear-End Crashes With High Collision Speeds in Work Zones: A South Carolina Case Study
Probabilistic Versus Non-Probabilistic Machine Learning Approaches for Estimating the Severity of Crashes in Construction Work Zones
Roadway work zones often present hazardous conditions for drivers, pedestrians, and construction workers. Understanding the factors contributing to work zone crashes and their severity can assist the … [Read more...] about Probabilistic Versus Non-Probabilistic Machine Learning Approaches for Estimating the Severity of Crashes in Construction Work Zones
Comparing Performance of Different Machine Learning Methods for Predicting Severity of Construction Work Zone Crashes
In 2020, more than 102,000 work zone crashes occurred in the United States, resulting in over 45,000 injuries and more than 850 fatalities. These numbers are higher than 2019 records, despite lower … [Read more...] about Comparing Performance of Different Machine Learning Methods for Predicting Severity of Construction Work Zone Crashes