Degree Type
Creative Component
Semester of Graduation
Spring 2018
Department
Computer Science
First Major Professor
Anuj Sharma
Second Major Professor
Samik Basu
Degree(s)
Master of Science (MS)
Major(s)
Computer Science
Abstract
There is an increasing demand to utilize modern technology in the eld 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 these images 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.
Copyright Owner
Ayala Somayajula, Revanth
Copyright Year
2018
File Format
Recommended Citation
Ayala Somayajula, Revanth, "Real time traffic congestion detection using images" (2018). Creative Components. 2.
https://lib.dr.iastate.edu/creativecomponents/2
