Road Safety Macro Assessment Model: Case Study for Hungary

Authors

  • György Ágoston
    Affiliation

    Department of Software Development and Application, University of Dunaújváros, 2400 Dunaújváros, Táncsics M. u. 1/A, Hungary

  • Radovan Madleňák
    Affiliation

    Department of Communications, University of Žilina, Univerzitná 8215/1, 010 08 Žilina, Slovakia

https://doi.org/10.3311/PPtr.13083

Abstract

Road traffic crashes are a considerable concern in motorized countries because of their impact on society, economy. The number of accidents has decreased since 2000. This paper gives an overview of road safety on Hungary's road network and reviews the efforts that were done. Statistical prediction of road traffic crashes is described based on the findings of the scientific literature. Using the data provided by the Hungarian Central Statistical Office for the number of crashes and related factors for the period from 2002 to 2017, a new relationship is established between crashes and a number of related factors in an attempt to improve the models' prediction power and to investigate the effect of adding new predictors on the strength of the models.

Keywords:

traffic safety, prediction, traffic accidents

Published Online

2020-01-09

How to Cite

Ágoston, G., Madleňák, R. (2021) “Road Safety Macro Assessment Model: Case Study for Hungary”, Periodica Polytechnica Transportation Engineering, 49(1), pp. 89–92. https://doi.org/10.3311/PPtr.13083

Issue

Section

Articles