Paper Key : IRJ************619
Author: Swati Nivrutti Divatankar,Dr. Magan P. Ghatule
Date Published: 06 Oct 2023
Abstract
Due to the increase in the number of vehicles on the road day by day, traffic anomaly detection and traffic control are some of the active research areas. Vehicle detection and classification in real-time are one of the difficult tasks of intelligent traffic management systems. With different types of vehicles, and with high density it becomes a challenging task to make accurate vehicle detection and classify it correctly with real-time speed. Based on the accuracy of the detection and classification of vehicles traffic can be controlled on a real time basis at the road intersection.In this research paper, the drawbacks of the existing methods of road traffic control at the intersection and the need of the computer vision- based method are discussed. Further, the computer vision-based method is discussed along with the steps involved. Different evolutionary algorithms are proposed by researchers which can be used for real time traffic control at the intersection using computer vision. The steps needed to be followed for the same are discussed and the paper concludes with the advantages of the computer vision-based method.