Traffic Congestion Prediction using Deep Convolutional Neural Networks: A Color-coding Approach. (arXiv:2209.07943v1 [cs.CV])

The traffic video data has become a critical factor in confining the state of
traffic congestion due to the recent advancements in computer vision. This work
proposes a unique technique for traffic video classification using a
color-coding scheme before training the traffic data in a Deep convolutional
neural network. At first, the video data is transformed into an imagery data
set; then, the vehicle detection is performed using the You Only Look Once
algorithm. A color-coded scheme has been adopted …

arxiv coding color congestion convolutional neural networks networks neural networks prediction traffic