The world is constantly evolving, and with the advancement of technology, it is becoming increasingly important to find ways to manage the growing demands of urbanization. One of the most pressing issues in urban areas is traffic congestion, which can lead to increased pollution, longer commute times, and decreased productivity. However, with the help of artificial intelligence (AI) and quantum computing, we may be able to predict and manage traffic more efficiently.
AI has already been used in traffic management systems to analyze data from sensors and cameras to predict traffic patterns and optimize traffic flow.