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 delta adjustment was tested successfully. Actual testing is be implemented soon.
