Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator

Alberto Bazán-Guillén, Carlos Beis-Penedo, Diego Cajaraville-Aboy +6

Realistic urban traffic simulation is essential for sustainable urban planning and the development of intelligent transportation systems. However, generating high-fidelity, time-va…