Revanth Ayala Somayajula - MS Final Oral
Speaker:Revanth Ayala Somayajula
Title: Real time traffic congestion detection using images
Abstract: There is an increasing demand to utilize modern technology in the field of transportation to help decrease congestion on roads so that proper measures can be pursued to facilitate lower travel times and an effective utilization of the transportation network. This project aims to develop a solution for real time detection of traffic congestion on a road. The solution captures images from the live feed of traffic cameras situated at various locations and runs a deep learning algorithm to detect whether an image shows traffic congestion. Using a set of consecutive images from a camera and a persistence check, the application identifies the time congestion started to take place and the time it has ended. For the purposes of analysis, the solution also records videos of the detected incidents.