We continue here the work begun in for capturing both the discrete vehicle
movements and continuous passenger transfers in a multimodal public transportation
network (TN). In a deterministic hybrid automaton (DHA) model was
used, so as to overcome via fluidification the state space explosion that makes fully
discrete models intractable. For the specification, we used both discrete and continuous
Petri nets (PNs) as basic modelling blocks where the marking of the
continuous places and the flows between them were vectorial instead of scalar. In
fact, we integrated the numbers of passengers belonging to different trip profiles,
i.e. having different destinations, as components of vector markings and -flows, with
routing matrices relating them.