What variables affect to a greater extent the driver's vision while driving?

Abstract

This paper deals with the analysis of the main variables involved in the visual activity of a driver of motor vehicles, in order to identify the most important quantities and implement, therefore, appropriate corrective actions to the achievement of road safety. The first step in this research was to survey a number of variables within the road environment and processing this data base with clustering techniques in order to extract useful information for purpose. In this case, a mixture of procedures based on Fuzzy Logic (FL) and Artificial Neural Network (ANN) were applied not only to extract knowledge not known a priori but, above all, to define the membership functions and rules of the fuzzy model without recourse to the skills of the analyst, not always so objective. This procedure, applied to a rural road open to traffic, showed a good performance in predicting the user's visual behavior and, especially, in identifying the most influential variables. This aspect may allow the agency to direct the maintenance operations so that to facilitate understanding of the information contained within the road environment, thus improving safety.

A Procedure for Evaluating the Influence of Road Context on Drivers’ Visual Behaviour

“…In previous experiences (Bosurgi et al 2010(Bosurgi et al , 2013a(Bosurgi et al , 2013bPellegrino 2009Pellegrino , 2011Pellegrino , 2012aPellegrino , 2012b, we already verified a close correlation between road geometry, environment and drivers' behaviour.…”

Status, Trends and Problems of the Road Safety Field in Bulgaria

“…Most of the fatal accidents occur on the secondary road network and out of all the fatalities for 2013 27 % are passengers,18 % pedestrians, and 55 % drivers. 287 people have died due to speeding, 18 due to driving under the influence (Open Youth, 2012;Török, 2011;Bosurgi et. al, 2013).…”

Principles of the Road Beautification Elements Placing

“…On the basis of processed scientific works devoted to the visual perception of the environment (Bella, 2013;Blumentrath and Tveit, 2014;Borowsky et al, 2012;Bosurgi et al, 2013) identified the following factors that influence on the perception of road composition by drivers and passengers (Fig. 2).…”