The Machine Learning Framework for Traffic Management in Smart Cities: Optimizing Flows for a Sustainable Future

Traffic congestion plagues cities worldwide, leading to wasted time, increased fuel consumption, air pollution, and economic losses. As cities become denser and more populated, the need for efficient and sustainable traffic management solutions grows ever more critical. In this context, machine learning (ML) emerges as a powerful tool, offering the pote…