Abstract

The purpose of this paper is to analyse the possibility for predicting the outcome of a road traffic accident concerning the traffic environment, personal traits of the traffic participant and the vehicle, i.e. aiming to answer the question whether specific values of the factors analysed to increase the likelihood of a fatal accident. The logistic regression model that allows identifying the relationship between the dependent and independent variables were used in the research. Other methods for describing and analysing categorical variables were also used alongside the logistic regression. When analysing the results, it was recognised that the odds ratio above 1 shows a higher likelihood for a representative of the category in question to be involved in a fatal accident compared to a representative of the base category. Odds ratios of likelihoods for calculation of the road traffic accident types show that the likelihood of a fatal accident is statistically significant affected by rollovers or driving into obstacles, compared to vehicular collisions. When summarising the results, it was stated that most of the factors researched have an impact on the outcome of a road traffic accident. The influence of some factors has a higher probability of resulting in a fatal accident as compared to other factors.

Highlights

  • IntroductionThe prevention of road traffic accidents (hereinafter in the text − accident) around the world receives a lot of attention and funding

  • The prevention of road traffic accidents around the world receives a lot of attention and funding

  • Regarding the impact of the number of vehicles involved in the road traffic accident on the outcome of the road traffic accident, the odds ratio (OR) of a fatal accident involving more than 2 vehicles (OR = 1.87) is higher than in the case of 2 vehicles

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Summary

Introduction

The prevention of road traffic accidents (hereinafter in the text − accident) around the world receives a lot of attention and funding This area is primarily addressed because of unchanging accident statistics. As reported by the World Health Organisation (2013), approximately 1.24 million people die every year on the world roads, and another 20 to 50 million sustain injuries as a result of the accident These injuries and deaths have an immeasurable impact on the affected families, whose lives are often changed irrevocably by these tragedies, and on the communities in which these people lived and worked (World Health Organization, 2013). Analysis of accumulated information has the potential of revealing solutions to problems, both technical and social Such analysis is relevant throughout the world, and Lithuania is no exception in improving its accident statistics

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