This paper emphasizes the importance of Data Mining classification algorithms in predicting
the vehicle collision patterns oc curred in road accident data set. This paper is aimed at …

Roadway traffic safety is a major concern for transportation governing agencies as well as
ordinary citizens. Data Mining is taking out of hidden patterns from huge database. It is …

In recent years, the number of traffic accidents, especially severe vehicle crashes has been
increasing because of rapid growth of volume of road traffic and rapid increase in speed of …

Today, one of the top concerns for governments is road safety. Given the significance of the
subject, reducing the harm caused by traffic accidents has shifted its focus to finding the root …

Road accidents are a major cause of human injuries and fatalities. Their analysis helps to
increase the awareness of traffic security importance. In this paper useful information has …

This paper emphasizes the importance of Data Mining classification algorithms in predicting
the vehicle collision patterns occurred in training accident data set. This paper is aimed at …

Driving accidents have been always counted as one of the most ostensible causes of deaths
in the societies today. Statistics and reports indicate that the road accidents in Iran rank …

Globalization has affected many countries. There has been a drastic increase in the
economic activities and consumption level, leading to expansion of travel and transportation …

The traffic has been transformed into the difficult structure in points of designing and
managing by the reason of increasing number of vehicles. This situation has discovered …

In this study, we use three data mining classification models to detect factors with the
greatest influence on car accidents. Understanding the circumstances in which the drivers …