The number of automobiles in use today has grown rapidly, however the fundamental capabilities of roadways and mobility networks haven't yet kept pace in order to effectively handle the volume of automobiles using these. As a result, there are more traffic-related pollutants as well as congestion jams, which has a negative social as well as economic impact on many economies throughout the globe. According to highway congestion, a dynamic management technology could obstruct vehicular visitors. In order to monitor traffic but instead minimise gridlock on the roads, wireless sensor networks (WSNs) are receiving more as well as more interest. WSNs are greatly in-demand because to extremely quick data transmission, simple setup, low upkeep requirements, small design, as well as lower cost when comparing to alternative networking solutions. Considerable investigation must have been done on Traffic Monitoring Devices that use WSNs to reduce Average-Waiting Times (AWTs) of cars at junctions, prevent gridlock, as well as guarantee priority for rescue automobiles. Employing Routing algorithms, LIDARS, WiMAX, Packet forwarding, Wireless controllers, webcams, and ultraviolet communications, investigators have started to track genuine activity in previous years. In order to lessen overcrowding as well as the average automobile weights (AWTs), this study provides an overview of current priority-rooted signalling urban traffic control strategies. This study's primary goal is to create a categorization of the many traffic administration techniques that are utilised to reduce overcrowding.