ESTIMATING RUNNING SPEED ON URBAN ROADS

This article proposes a statistical model for the
prediction of the running speed on urban roads,
developed and calibrated on the basis of
anexperimental survey on a sample of 17 roads
localised in two different Italian cities (Parma and
Reggio Calabria).
The model is designed to determine the
average running speed of the vehicles according
to different parameters, such as the length of the
road link, the road width, the degree of
disturbance related to lateral parking and the
degree of saturation of the road. A new
development brought from the model concerning
the formulae developed in the literature is the
explicit relationship between the running speed
and infrastructure length.
After a literature review of cost functions
applicable in city environment, the paper
presents database that was used, the adopted
procedure for specification model and the relative
outcomes of statistical validation