VANET (Vehicular Ad-Hoc Network) works through direct short-range communication(DSRC). It is a wireless protocol that exchanges data between nodes. (In VANET vehicles are considered a node). VANET is a dynamically converting self-organizing network. Network. Nowadays an increasing number of motor vehicles led to traffic congestion and the need for an Intelligent traffic management system. The integrated system for Intelligent Traffic Management System, Traffic Enforcement System, Surveillance System and Integrated Command and Control Centre under Smart City Initiative (Raipur Smart City). The system has the major components used in the Intelligent Traffic Management System. Author considered this survivallence system for implementation of framework for mitigating congestion control using real-time mobility model employing a combination of machine learning and deep learning methodologies in future. Literature Survey is conducted from 2008 to 2022. Machine learning and deep learning methods are identified and compared for traffic congestion control. A few causes are recognized for congestion and accidents also corresponding methods are listed and proposed by the author as a solution concerning Indian Cities.

ITMS, VANET, Deep Learning, Machine Learning, CNN.