Baraa Zieni

Deep reinforcement learning-based adaptive traffic signal control in urban networks

Results demonstrate the usefulness of deep reinforcement learning in the creation of intelligent and adaptive traffic signal control services in the city and prove the usefulness of computational feasibility and robustness even when the size of the network grows.