Predicting the Risk of Accidents on Roads

Authors

  • H. H. Ptytsia Kharkiv National Automobile and Highway University
  • L. S. Abramova Kharkiv National Automobile and Highway University

DOI:

https://doi.org/10.31649/1997-9266-2021-156-3-84-92

Keywords:

risk of accidents, road safety, car roads, final accident rate, distribution law

Abstract

The issue of road safety is particularly relevant in Ukraine because according to official statistics, every 18 weeks accidents occur on the country’s roads, and every 117 minutes a person is killed by an accident.

Road traffic crashes are random events that may be subject to a certain pattern. Therefore the analysis of crash patterns, their distribution in time and space, and the identification of causes is an urgent issue that has a significant impact on the entire transport system of the country. In the presented work we considered the assumption that the distribution of crash rates is subject to a certain distribution law. Checking the compliance of a random variable with one of the distribution laws was carried out for the condition that the level of road safety expressed by the final coefficient of accidents. The use of this indicator is conditional on a wide range of traffic condition parameters being taken into account, making it suitable for use in road safety audits.

The study was carried out using databases of road safety values on public roads, which are available in the Road Traffic Management and Safety Department and are periodically updated. As a result of the study of the distribution of traffic accident risks, the coincidence of the nature of the theoretical distribution of the considered values of the real (relative accident rate) and predicted levels of road safety (the final accident rate (express model)) was found.

According to the obtained analytical dependences of the mathematical expectation of the occurrence of a road accident we can determine the center of accidents with a certain probability, and the variance of the lognormal distribution describes the dispersion of a random variable (the number of road traffic crashes) on a selected road section. The resulting models offer the possibility of using them to determine road crash risks on difficult and dangerous sections of public roads.

Author Biographies

H. H. Ptytsia, Kharkiv National Automobile and Highway University

Cand. Sc. (Eng.), Associate Professor, Associate Professor of the Chair of Traffic Management and Safety

L. S. Abramova, Kharkiv National Automobile and Highway University

Dr. Sc. (Eng.), Associate Professor, Professor of the Chair of Traffic Management and Safety

References

Л. С. Абрамова, и Г. Г. Птица, Концепция управления безопасностью дорожного движения. Перспективные тренды развития науки: техника и технологии. Одесса, Украина: Куприенко С. В., 2016, к. 1, глава 6, с. 169-190.

Г. Г. Птиця, «Визначення рівня безпеки дорожнього руху на автомобільних дорогах загального користування.» Дис. канд. техн. наук., 05.22.01 «Транспортні системи», ХНАДУ, Харків, 2016.

Рунэ Эльвик, Аннэ Боргер Мюсен, и Трулс Ваа, Справочник по безопасности дорожного движения, пер. с норв. Ред. В. В. Сильянова. Москва, РФ: МАДИ(ГТУ), 2001.

С. Н. Лапач, А. В. Чубенко, и П. И. Бабич, Статистика в науке и бизнесе. Киев, Украина: МОРИОН, 2002.

В. Ф. Бабков, Дорожные условия и безопасность движения, учеб. для вузов. Москва: Транспорт, 1993.

Л. С. Абрамова, и Г. Г. Птица, «Экспериментальная проверка экспресс-метода определения уровня безопасности дорожного движения,» на науч.-техн. конф. с международным участием Транспорт, экология – устойчивое развитие, Варна, 2016, с. 288-292.

Downloads

Abstract views: 191

Published

2021-06-29

How to Cite

[1]
H. H. Ptytsia and L. S. Abramova, “Predicting the Risk of Accidents on Roads”, Вісник ВПІ, no. 3, pp. 84–92, Jun. 2021.

Issue

No. 3 (2021)

Section

Mechanical engineering and transport

Metrics

Downloads

Download data is not yet available.

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors who publish with this journal agree to the following terms:

  • Authors retain copyright and grant the journal right of first publication.
  • Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
  • Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).