Reconstruction of bidirectional two-lane roads typically necessitates closing one lane, with traffic signal control (TSC) implemented to prevent direct conflicts between opposing traffic flows. First, … [Read more...] about Exploring the Feasibility and Sensitivity of Deep Reinforcement Learning Controlled Traffic Signals in Bidirectional Two-Lane Road Work Zones
Deep Learning
Vehicle Intrusion Detection in Highway Work Zones Using Inertial Sensors and Lightweight Deep Learning
Highway work zones are prone to intrusion events that threaten workers' safety and disrupt operations. Existing intrusion detection systems often produce high false alarms, causing alarm fatigue and … [Read more...] about Vehicle Intrusion Detection in Highway Work Zones Using Inertial Sensors and Lightweight Deep Learning
Harnessing Synthetic Image Datasets for Enhanced Scene Understanding in Construction Work Zones
This study pioneers the use of synthetic image datasets, generated via the Unity game engine, to train deep learning models for construction work zone scene understanding. This innovative approach … [Read more...] about Harnessing Synthetic Image Datasets for Enhanced Scene Understanding in Construction Work Zones
An Attention-Based Multi-Context Convolutional Encoder-Decoder Neural Network for Work Zone Traffic Impact Prediction
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
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
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