Machine learning on deep neural network, with vehicle classification, tracking and counting are all lines up to determine realtime traffic intensity and then to adjust signal timing. Traffic modeling was carried out using actual traffic counts. Signal timing adjustment was silulated on “SUMO”. first the…
AbRuTeCh, the traffic analysis tool uses machine learning and deep neural networlks on a Jetson to identify, classify and count them. Vehicle tracking and speed measurements are also included. User can draw lines on his own video and get the speeds and vehicle statistis calculated…
Edge pixel count, corrected for road marks and other parasitic edges can be representative to traffic intensity on a scale 0-5. Even wothout identifying vehicles, classifying and counting them, total edge pixel count indicates traffic intensity with a reasonable accuracy.