Carnegie Mellon senses traffic using advanced vehicle-based sensor data

Researchers from Carnegie Mellon University's Department of Civil and Environmental Engineering collaborated with Uber Advanced Technologies Group (Uber ATG) to better understand how advanced vehicle-based sensor data can inform high resolution traffic flow measurements.