  Dense human flow has been a concern for the safety of public events for a
long time. Macroscopic pedestrian models, which are mainly based on fluid
dynamics, are often used to simulate huge crowds due to their low computational
costs (Columbo & Rosini 2005). Similar approaches are used in the field of
traffic simulations (Lighthill & Whitham 1955). A combined macroscopic
simulation of vehicles and pedestrians is extremely helpful for
all-encompassing traffic control. Therefore, we developed a hybrid model that
contains networks for vehicular traffic and human flow. This comprehensive
model supports concurrent multi-modal simulations of traffic and pedestrians.
