  In this second part of our research we used the models presented in
\emph{Modeling a vehicular traffic network. Part I} \cite{ogm1} to perform an
analysis of the urban traffic as recorded by cameras distributed in a chosen
sector of Tigre, a city in the province of Buenos Aires, Argentina. We found
that the circulation of vehicles -- the traffic dynamics --, along a whole day,
can be described by a hybrid model that is an adapted blend of model 2, for an
open linear system, with model 3, which is nonlinear, developed in Part I. The
objectives of this work were, firstly, to verify whether the vehicular flux can
be modeled as an $n$-step stochastic process for its evolution, $n$ for the
time. Secondly, to find out if the model, with its parameters fixed to describe
the traffic of a single day, may adequately describe the traffic in other days.
Thirdly, to propose changes in the already established set of the urban traffic
rules in order to optimize the vehicular flow and to diminish the average time
that a vehicle stays idle at the semaphores. We estimate that the goals were
achieved satisfactorily within the margins of the experimental errors of the
gathered data.
