ORNL researchers use stop-light cameras to reduce fuel consumption of less-efficient vehicles via traffic management
Green Car Congress
FEBRUARY 23, 2020
Once vehicle-classification labels were applied using commercial software, and DOE fuel-economy estimates added, the team had a unique dataset to train a convolutional neural network for vehicle identification. Gee, “Estimating Vehicle Fuel Economy from Overhead Camera Imagery and Application for Traffic Control.”
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