Quantifying the impact of risk factors at railway level crossings using accident prediction models: A cross-country study

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44994575%3A_____%2F18%3AN0000048" target="_blank" >RIV/44994575:_____/18:N0000048 - isvavai.cz</a>

Výsledek na webu

<a href="https://zenodo.org/record/1483685#.XIJoXyhKi70" target="_blank" >https://zenodo.org/record/1483685#.XIJoXyhKi70</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Quantifying the impact of risk factors at railway level crossings using accident prediction models: A cross-country study

Popis výsledku v původním jazyce

(Proceedings of 7th Transport Research Arena TRA 2018, April 16-19, 2018, Vienna, Austria) Railway level crossings are critical elements in railway and road networks with accident occurrences resulting in fatal and severe injuries. In addition to the human loss, level crossing accidents also negatively impact rail transport reliability and transport speed. For safety management, specific risk factors should be identified and their impact on overall safety quantified. To this end, multivariate regression equations, commonly known as accident prediction models, have been used in the study. The paper describes the development of accident prediction models in three Central European countries (Czech Republic, Hungary and Austria), using samples of data on railway level crossings with flashing lights. The models were used to quantify the impact of several risk factors. The cross-country study design enabled comparison of obtained experience and drawing conclusions for further development of both road and railway network safety management.

Název v anglickém jazyce

Quantifying the impact of risk factors at railway level crossings using accident prediction models: A cross-country study

Popis výsledku anglicky

(Proceedings of 7th Transport Research Arena TRA 2018, April 16-19, 2018, Vienna, Austria) Railway level crossings are critical elements in railway and road networks with accident occurrences resulting in fatal and severe injuries. In addition to the human loss, level crossing accidents also negatively impact rail transport reliability and transport speed. For safety management, specific risk factors should be identified and their impact on overall safety quantified. To this end, multivariate regression equations, commonly known as accident prediction models, have been used in the study. The paper describes the development of accident prediction models in three Central European countries (Czech Republic, Hungary and Austria), using samples of data on railway level crossings with flashing lights. The models were used to quantify the impact of several risk factors. The cross-country study design enabled comparison of obtained experience and drawing conclusions for further development of both road and railway network safety management.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

20104 - Transport engineering

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů