  In this paper, we present a new generalized Hughes model designed to
intelligently depict pedestrian congestion dynamics, allowing pedestrian groups
to either navigate through or circumvent high-density regions. First, we
describe the microscopic settings of the model. The corresponding optimization
problems are deterministic and can be formulated by a closed-loop model
predictive control strategy. This microscopic setup leads in the mean-field
limit to the Generalized Hughes model which is a class of non-separable mean
field games system, i.e., Fokker-Planck equation and viscous Hamilton-Jacobi
Bellman equation are coupled in a forward-backward structure. We give an
overview on the mean field games in connection to our intelligent fluid model.
Therefore, we show the existence of weak solutions to the Generalized Hughes
model and analyze the vanishing viscosity limit of weak solutions. Finally, we
illustrate the generalized Hughes model with various numerical experiments.
