This paper tackles efficient cooperative control for large-scale traffic signals using tensor-based deep learning.
problem Efficient training and control for large-scale multi-intersection traffic signals.
method Tensor representation, multi-task learning, imitation learning, proximal policy optimization.
result The proposed model achieves better performance compared to existing methods.