Real-time traffic signal optimization for urban mobility: a reinforcement learning-enhanced framework with application to Kuwait City

The method not only improves traffic flow but also significantly reduces fuel consumption and carbon dioxide emissions. This study further explores how the proposed solution can be leveraged to address Kuwait's significant traffic challenges and contribute to improving air quality in the region.