Communications of the ACM
Using Cameras on Transit Buses to Monitor Traffic
Taking advantage of bus cameras previously installed for security purposes allows researchers to collect more accurate traffic data.
Credit: Getty Images
Ohio State University (OSU) researchers monitored traffic using cameras already installed on the Campus Area Bus Service's transit buses.
They implemented a system that utilizes the YOLOv4 two-dimensional (2D) deep learning model to automatically identify and track objects; OSU's Keith Redmill said the model can recognize multiple objects in a single image frame.
The algorithm also can leverage streams of images, global navigation satellite system measurements, and regional data from 2D maps to project real-world overhead-view coordinates of the road network.
Said Redmill, "If we collect and process more comprehensive high-resolution spatial information about what's happening on the roads, then planners could better understand changes in demand, effectively improving efficiency in the broader transportation system."
From Ohio State News
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