Artificial intelligence (AI) has been revolutionizing various industries, and the transportation sector is no exception. In recent years, the use of AI in road traffic management systems has gained significant attention. With the emergence of quantum computing, the integration of AI and quantum computing has the potential to further optimize traffic flow and reduce congestion in road networks.
The traditional approach to traffic management involves the use of traffic signals and road signs. However, these methods have limitations, and traffic congestion remains a major problem in many cities worldwide. AI-powered traffic management systems have the potential to address these issues by providing real-time traffic data analysis and decision-making capabilities.