Hierarchical cooperative signal control for high-demand networks within the MFD framework: A deep reinforcement learning approach
Owing to its powerful modeling and decision-making capabilities in complex urban networks, deep reinforcement learning (DRL) has garnered significant attention in both regional signal control and perimeter control. However, regional control tends to fail under oversaturated conditions, while perimeter control often lea...