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
Artificial Intelligence
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
Electrodermal Insights Into Stress Dynamics of AR-Assisted Safety Warnings in Virtual Roadway Work Zone Environments
This study examines stress levels in roadway workers utilizing AR-assisted multi-sensory warning systems under varying work intensities. A high-fidelity Virtual Reality environment was used to … [Read more...] about Electrodermal Insights Into Stress Dynamics of AR-Assisted Safety Warnings in Virtual Roadway Work Zone Environments
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
AI for Data Quality Auditing: Detecting Mislabeled Work Zone Crashes Using Large Language Models
Ensuring high data quality in traffic crash datasets is critical for effective safety analysis and policymaking. This study presents an AI-assisted framework for auditing crash data integrity by … [Read more...] about AI for Data Quality Auditing: Detecting Mislabeled Work Zone Crashes Using Large Language Models