Urban traffic flow dynamics and control in complex city networks have attracted widespread scholarly attention due to the increasing challenges of congestion management and environmental ...

Deep reinforcement learning (DRL) has emerged as a transformative approach in the realm of fluid dynamics, offering a data-driven framework to tackle the intrinsic complexities of active flow control.