As the nation’s roadways continue to deteriorate, the presence of work zones on US highways is anticipated to increase, highlighting the crucial need for the safety of both work zone workers and road … [Read more...] about Investigating the Contributing Factors to Crashes With and Without the Presence of Work Zone Workers Using Machine Learning Techniques
Machine Learning
A Hybrid Framework for Predicting Crash Severity in Construction Work Zones Using Knowledge Distillation and Conditional GANs
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
Forecasting Traffic Flow by Vehicle Category on a Major Highway Impacted by Road Maintenance Works
In this paper the authors look at the forecasting of traffic flow on a major highway in the Netherlands impacted by road maintenance works, examining the effects of lane closures on intensities per … [Read more...] about Forecasting Traffic Flow by Vehicle Category on a Major Highway Impacted by Road Maintenance Works
Traffic Estimation in Work Zones Using a Custom Regression Model and Data Augmentation
Accurately estimating traffic volumes in construction work zones is crucial for effective traffic management. However, one of the key challenges transportation agencies face is the limited coverage of … [Read more...] about Traffic Estimation in Work Zones Using a Custom Regression Model and Data Augmentation
Exploring the Feasibility and Sensitivity of Deep Reinforcement Learning Controlled Traffic Signals in Bidirectional Two-Lane Road Work Zones
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
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