Traffic detection scheme based on YOLO.

For a smart and smooth traffic, traffic flow detection is mostly done through cloud computing. All the captured images are being stored in the cloud computing center, but still this traditional method becomes more complicated with increase in traffic. This paper tells about the traffic flow identification on the edge node based on deep learning. Here Yolo v3 algorithm has been employed and trained with large amount of real-life traffic dataset. This uses a traffic detection and tracking algorithm to predict the flow of traffic. [ABSTRACT FROM AUTHOR]