This paper presents a comprehensive, publication-ready investigation into the problem of reliable work zone crash classification and risk prediction using an integrated pipeline that emphasizes … [Read more...] about Integrated Framework for Reliable Work Zone Crash Classification: Combining Data Validation, Machine Learning Ensembles, and Natural Language Methods
Information Infrastructure and Data
Risk Assessment in Road Work Zones Using Artificial Intelligence, Expert Evaluation, and Driver Surveys
Road work zones represent one of the most challenging segments in the traffic safety system, as they frequently involve sudden changes in traffic flow regulation, reduced vehicle speeds, the presence … [Read more...] about Risk Assessment in Road Work Zones Using Artificial Intelligence, Expert Evaluation, and Driver Surveys
High-Tech Snowplows and AI Help Cities Clean up From Big Storms
The article examines how U.S. cities, led by Syracuse, New York, are modernizing snow removal operations through the use of GPS tracking, video monitoring, and artificial intelligence. These … [Read more...] about High-Tech Snowplows and AI Help Cities Clean up From Big Storms
Piloting Smart Work Zone Technologies to Provide Real-Time Lane Closure Information to Improve Oregon Highway Safety and Mobility
This study presents the results and implementation strategies on the deployment of smart work zone equipment. A smart arrow board in combination with location beacons were tested … [Read more...] about Piloting Smart Work Zone Technologies to Provide Real-Time Lane Closure Information to Improve Oregon Highway Safety and Mobility
To Balance or Not to Balance? Applying a Machine Learning Technique to Oversample Severe Injury Crashes in Work Zones
Road work zones (WZs) are increasingly common due to aging infrastructure and the need for capacity enhancement, presenting significant safety risks characterized by narrow lanes, uneven traffic flow, … [Read more...] about To Balance or Not to Balance? Applying a Machine Learning Technique to Oversample Severe Injury Crashes in Work Zones
Modeling Drivers in Route Diversion Behavior During Congestion: A Pilot Study
This study investigates factors influencing drivers' decisions to divert their routes in response to congestion and delays on coastal road networks. Key variables examined include information-seeking … [Read more...] about Modeling Drivers in Route Diversion Behavior During Congestion: A Pilot Study