A Comprehensive Literature Review on Traffic Congestion Detection Methods

This survey paper on Comprehensive Literature Review on Traffic Congestion Detection Methods explores different methodologies of traffic congestion detection including traditional methods such as loop detectors, Global Positioning System (GPS) and vehicle-vehicle communications as well as advanced methods which includes deep neural networks like Convolutional Neural Network (CNN) and different versions of YOLO. The aim is to provide readers with the comprehensive overview of various methods of state-of-the-art traffic congestion detection systems.