Artificial Intelligence(AI) in Traffic Management

In past few decades number of vehicles has been increased a lot on roads. But road capacity has not increased in that much ratio , as a result there is huge traffic on roads. No doubt there are number of ways to control traffic. But Traffic congestion remains a persistent issue in urban areas, leading to increased travel time, fuel consumption, and environmental pollution. This increasing traffic without proper infrastructure support leading to congestion on roads & worsen accident conditions. This effects society directly or indirectly as affect on economic development, rising accident cases, rising parking demand, health issues, time delays/loss and pollutions effects on environment. Traffic management systems often fails as they are unable to adapt real-time conditions. So it is clear that we must move forward from traditional ways of traffic management. So Smart traffic control management can be the efficient solution .Many smart cities are moving forward to opt Smart traffic management systems using Artificial Intelligence(AI). This research explores the implementation of Artificial Intelligence (AI) to optimize traffic flow and reduce congestion. By leveraging advanced AI techniques such as machine learning, neural networks, and computer vision traffic can be managed by adapting real time conditions.