  Recent advances in time series, where deterministic and stochastic modelings
as well as the storage and analysis of big data are useless, permit a new
approach to short-term traffic flow forecasting and to its reliability, i.e.,
to the traffic volatility. Several convincing computer simulations, which
utilize concrete data, are presented and discussed.
