Work zone is one of the major causes of non-recurrent traffic congestion and road incidents. Despite the significance of its impact, studies on predicting the traffic impact of work zones remain … [Read more...] about An Attention-Based Multi-Context Convolutional Encoder-Decoder Neural Network for Work Zone Traffic Impact Prediction
Machine Learning
Assessment of Safe Work Indicators in Transportation Construction Using Personal Monitoring Systems
Construction projects require long hours where workers are subjected to intensive tasks such as hard manual labor, heavy lifting, and constrained working postures. Among the physiological metrics, … [Read more...] about Assessment of Safe Work Indicators in Transportation Construction Using Personal Monitoring Systems
Assessment of Barriers and Drivers to the Adoption of Machine Learning Technologies in Road Construction Site Accident Prevention
The construction industry is fraught with danger. The investigation of the causes of occupational accidents receives considerable attention. Despite the introduction of numerous safety preventive … [Read more...] about Assessment of Barriers and Drivers to the Adoption of Machine Learning Technologies in Road Construction Site Accident Prevention
Integrating Domain Knowledge With Deep Learning Model for Automated Worker Activity Classification in Mobile Work Zones
Accurate classification of workers’ activity is critical to ensure the safety and productivity of construction projects. Previous studies in this area are mostly focused on building construction … [Read more...] about Integrating Domain Knowledge With Deep Learning Model for Automated Worker Activity Classification in Mobile Work Zones
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