Author(s)

L. Mussone & S. Rinelli

Abstract

The paper deals with vehicular safety in urban road networks. The complexity of the vehicular flow process and accident dynamic is considerably high because of the large number of variables necessary to describe them. To obtain a good statistical significance only four branch intersections are considered for the present analysis. Accident data were collected over a period of about two years in a medium- large city in the Northern part of Italy (with about 100.000 inhabitants) for a total amount of about 400 accidents distributed over 25 intersections Geometrical characteristics of the intersections were collected, too: in particular, the number of lanes for each branch, the area of the intersection, traffic lights the presence of stop or give way signals. Data were processed by means of using a feedforward neural network with backpropagatio

Keywords