As the world becomes increasingly connected, traffic congestion has become a major problem in many cities. Traffic jams not only waste time and money, but also have negative impacts on the environment and public health. To address this issue, researchers are turning to artificial intelligence (AI) and quantum computing to develop more efficient traffic prediction and dynamic routing systems.
AI has already been used to predict traffic patterns based on historical data, but these models are limited by their inability to account for real-time changes in traffic conditions. Quantum computing, on the other hand, has the potential to solve complex optimization problems in real-time, making it an ideal tool for dynamic routing.