A Study of Traffic Monitoring Systems for Smart City

The waste of energy and time in unnecessary traffic bottlenecks has become an issue across the world. Traffic congestion not only wastes fuel and time but also pollutes the environment due to the running of engines. A person who does not want to be delayed in traffic for extended periods. An intelligent transport surveillance system will certainly cut down on the amount of time spent in traffic. Video surveillance and monitoring technologies have been increasingly popular in traffic control in recent years. Estimating the road traffic density in advance is critical for traffic signal management, especially in smart cities. A video-based surveillance system can be used to estimate traffic density and classify vehicles. In this paper, we have proposed a general flow of Traffic Monitoring systems. This research examines many approaches for detecting, tracking, counting, and classifying vehicles.