  Nowadays, methodologies coming from studying physical systems are being
applied to the description of a wide variety of complex systems. In particular,
one can study thermodynamical methods to describe the overall behavior of many
systems, independent of the precise microscopic construction. In this paper, a
real Mexican highway is studied as a cellular automata system using available
official data released by the Mexican Government. The system studied is the
Cuernavaca bypass which was modified in 2016. Official data allows to compare
the highway before and after the modifications. As more complex thermodynamic
variables such as entropy is difficult to define and measure in discrete
traffic models, it is shown how other more simple variables such as the
standard deviation can be enough to have a complete analysis of the system.
More specifically, it is shown how standard deviation can be seen as a measure
of order. Results from the study of the highway show how, taking a minimal
measure such as ordering the transit of heavy trucks can reduce up to 32\% the
travel time from one end to another. Otherwise, travel times stays practically
constant with respect to the original system.
