  We explain why a sampling (division of data into homogenous sub-samples),
segmentation (selection of sub-samples belonging to a small sub-area in ID
plane - a segmentation zone), and scaling (a linear transformation of random
variables representing a standard sub-routine in a general scheme of an
unfolding procedure) are necessary parts of any vehicular data investigations.
We demonstrate how representative traffic micro-quantities (in an unified
representation) are changing with a location of a segmentation zone. It is
shown that these changes are non-trivial and correspond fully to some
previously-published results. Furthermore, we present a simple mathematical
technique for the unification of GIG-distributed random variables.
