As the world becomes increasingly urbanized, cities are facing a growing challenge in managing traffic flow. With more cars on the road, congestion is becoming a major issue, leading to increased travel times, air pollution, and frustration for drivers. However, with the advent of artificial intelligence (AI) and quantum computing, there is hope for a more efficient and sustainable solution to traffic flow optimization in smart cities.
AI has already shown great promise in traffic management systems, with algorithms that can predict traffic patterns and adjust traffic signals in real-time to reduce congestion.