An In-Depth Review of Revolutionizing Traffic Control Systems Leveraging Software-Defined Networking (SDN)

Traffic congestion greatly reduces efficiency and mobility in urban settings. Due to their reliance on set signal periods, traditional traffic signalization systems are unable to adequately handle the dynamic nature of road traffic. This study presents a novel adaptive traffic signaling system that makes use of the Quality of Service (QoS) methodology, which is commonly used in computer network traffic management. Using a “traffic of interest” number to priorities roads, this technology dynamically modifies the duration of green lights to reflect current traffic circumstances. In order to ensure timely and effective traffic management, important factors such queue length, vehicle count, travel speed, and the presence of Emergency Vehicles (EmVs) are integrated into the system. EmV prioritization is a unique feature of the system that improves its functionality. According to preliminary findings (or simulations), there is a great deal of promise for easing traffic congestion and enhancing flow. The results of this study could completely change urban traffic management by providing a scalable and effective answer to a common urban problem.