Author(s)

A. Colucci, A. Ferrari, L. Florio, L. Mussone, M. Oneta & S. Rinelli

Abstract

Urban accidents have the highest percentage impact (-75%) over the entirety of accidents; therefore they represent a crucial event which potentially may lead to disastrous consequences. The understanding of this phenomenon is not easy because of the numerous variables which must be taken into account. Traditional statistical approaches may be not sufficient to tackle tins problem and hence new methods should be carried out. Artificial Intelligence may be helpful for providing more powerful techniques. In a previous paper some of the authors used neural networks to analyse accidents occurred in a small city (about 100.000 inhabitants). In tins paper the same AI methodol

Keywords