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A Comprehensive Literature Review on Traffic Congestion Detection Methods
A Comprehensive Literature Review on Traffic Congestion Detection Methods
Rohith V1, Ankith J1, Deekshita N1, Jeevith V Gowda1, Kushi L1
Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning)
Vidyavardhaka College of Engineering
Mysuru, Karnataka, India
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Abstract -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.
Key Words: traffic, congestion, convolutional neural network, deep learning, YOLO , loop detector, GPS.
