Pacific Northwest National Laboratory: New Machine Learning Tool Tracks Urban Traffic Congestion

Pacific Northwest National Laboratory: New Machine Learning Tool Tracks Urban Traffic Congestion. “Currently, publicly available traffic information at the street level is sparse and incomplete. Traffic engineers generally have relied on isolated traffic counts, collision statistics and speed data to determine roadway conditions. The new tool uses traffic datasets collected from UBER drivers and other publicly available traffic sensor data to map street-level traffic flow over time. It creates a big picture of city traffic using machine learning tools and the computing resources available at a national laboratory.”

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