Analysis of reasons of traffic accidents using data mining (dm)‎ techniques

Abstract EN

It was observed in the last few years the increasing number of traffic accidents in Egypt.

In fact, Egypt is considered as one of the countries most subjected to traffic accidents.

The main reasons of traffic accidents in Egypt may be the human factor (extra speed, sudden stop, the culture of the driver, the lack of knowledge of the traffic rules for the driver, the driver violation of the traffic rules), the vehicle (shortage in the brake, no lights in the vehicle, separation of the tire, explosion of the tire, excess weight or height or protrusion of the cargo), the roads (bad status of the road, dangerous curve in the road, no traffic signs), or the weather conditions (rain or fog).

In this paper, we used data mining to investigate the real reasons of traffic accidents and their relevance.

We also studied how the factors of the traffic accidents are correlated to each other.

This is done by using three data mining techniques : the association rules technique, the clustering technique, and the classification technique.

We then used the classical correlation coefficient technique to measure the correlations between different parameters.

We compared the results achieved by each data mining technique to the other.

Finally, we compared the results achieved by the data mining techniques to those achieved by the traditional correlation technique in order to conclude the most suitable technique to this data.