Association Rules to Identify Factors Affecting Risk and Severity of Road Accidents

Irina Makarova, Gulnara Yakupova, Polina Buyvol, Eduard Mukhametdinov, Anton Pashkevich

2020

Abstract

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.

Paper Citation

in Harvard Style

Makarova I., Yakupova G., Buyvol P., Mukhametdinov E. and Pashkevich A. (2020). Association Rules to Identify Factors Affecting Risk and Severity of Road Accidents.In Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: iMLTrans, ISBN 978-989-758-419-0, pages 614-621. DOI: 10.5220/0009836506140621

in Bibtex Style

@conference{imltrans20,
author={Irina Makarova and Gulnara Yakupova and Polina Buyvol and Eduard Mukhametdinov and Anton Pashkevich},
title={Association Rules to Identify Factors Affecting Risk and Severity of Road Accidents},
booktitle={Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: iMLTrans,},
year={2020},
pages={614-621},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009836506140621},
isbn={978-989-758-419-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: iMLTrans,
TI - Association Rules to Identify Factors Affecting Risk and Severity of Road Accidents
SN - 978-989-758-419-0
AU - Makarova I.
AU - Yakupova G.
AU - Buyvol P.
AU - Mukhametdinov E.
AU - Pashkevich A.
PY - 2020
SP - 614
EP - 621
DO - 10.5220/0009836506140621