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abstract: 'We propose three models for the traffic of vehicles within a network formed by sites (cities, car-rental agencies, parking lots, etc.) and connected by two-way arteries (roads, highways), that allow forecasting the vehicular flux in a sequence of $n$ consecutive steps, or units of time. An essential approach consists in using, as an *a priori* information, previous observations and measurements. The formal tools used in our analysis consists in: (1) associating a digraph to the network where the edges correspond to arteries and the vertices with loops represent the sites. (2) From an initial set of numbers, that are the distribution of vehicles within the network, we construct a matrix that we transform into a stochastic matrix (SM) by normalizing the rows, whose entries are now transition probabilities. This matrix becomes the generator of the evolution of the traffic flow. And (3), we use the Perron-Frobenius theory for a formal analysis. We investigate three models: (a) a closed four-site network having a conserved number of vehicles; (b) to this network we add an influx and an outflux of vehicles to characterize an open system; asymptotically, $n \rightarrow \infty$, the SM raised to the power $n$ goes to a 