New high-resolution computational fluid dynamics simulations are providing insights into the tremendous forces that cause semi-trucks and other high-profile vehicles to topple during high-wind events.
Research at Colorado State University shows that action-conveying and emotionally motivated signs are more effective at influencing pedestrian safety and decision-making at railroad crossings.
Researchers at North Dakota State University improved commercial vehicle weight monitoring accuracy by more than 90% by combining traditional weigh-in-motion systems with machine learning techniques and advanced sensor data to integrate information on temperature fluctuations, pavement surface conditions, and vehicle dynamics.
Researchers at Colorado State University have developed an automated pothole detection tool, which combines visible and thermal images to reliably identify potholes under various conditions, particularly in regions with challenging weather.
