Leveraging Edge Computing for Real-Time Traffic Management and Simulation with SUMO in Smart Cities
Traffic congestion is a persistent problem in modern urban environments, causing delays, increasing pollution, and negatively affecting the quality of life of millions of city dwellers. As urban populations grow, the need for intelligent traffic man- agement systems becomes more pressing. This thesis presents a novel approach to real-time traffic management using edge computing in conjunction w