Association rules to identify factors affecting risk and severity of road accidents

Abstract

© 2020 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved The current increase in automobilization leads to a decrease in road safety. Therefore, the purpose of this research is to analyze and identify the causes that significantly affect the risk and severity of accidents. For this purpose, both histograms plotting and association rules were used. The statistics of traffic accidents in Elabuga town for 2017-2018 were taken as initial information. To identify the most traumatic types of traffic accidents, graphs of the number of accidents by types of accidents and the number of victims for 2017-2018 were constructed. It was found that the greatest number of injured (wounded or dead) is observed in collisions and hitting a pedestrian. Then, road sections of the concentration of accidents were analyzed, the most common types of accidents and the main violations of traffic rules that contribute to the occurrence of accidents were determined. To identify hidden relationships between factors and accidents with severe consequences, association rules were applied. As a result, the influence of weather conditions, quality of road infrastructure and marking was established.