As cities continue to grow and expand, traffic congestion has become a major issue. With more cars on the road, it can be difficult for traffic management systems to keep up with the demand. However, with the help of artificial intelligence (AI) and quantum computing, traffic congestion prediction and management can be significantly improved.
AI has already been used in traffic management systems to predict and manage traffic flow. By analyzing data from sensors and cameras, AI algorithms can predict traffic patterns and adjust traffic signals accordingly. This can help reduce congestion and improve traffic flow.