A comparative analysis of identification of hazardous locations in regional rural road network

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44994575%3A_____%2F14%3A%230001348" target="_blank" >RIV/44994575:_____/14:#0001348 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

A comparative analysis of identification of hazardous locations in regional rural road network

Popis výsledku v původním jazyce

The first step of the road safety management cycle is the identification of hazardous road locations. Traditionally, the identification criterion in the Czech Republic has been recorded crash frequency; however, it has tended to omit the important influence of natural variations known as regression to the mean. Using the expected number of crashes and empirical Bayes adjustment is the recommended solution. This number is calculated with the use of a crash prediction model, taking into account availableexplanatory factors and controlling for potentially confounding variables at the same time. The aim of this study was to compare both traditional and empirical Bayes approaches to identification of hazardous road locations. A crash prediction model for the regional rural road network was developed for the purpose of the study. The whole 2nd class road network in Czech region of South Moravia was used. The resulting expected injury crash frequency was further adjusted by the empirical Bay

Název v anglickém jazyce

A comparative analysis of identification of hazardous locations in regional rural road network

Popis výsledku anglicky

The first step of the road safety management cycle is the identification of hazardous road locations. Traditionally, the identification criterion in the Czech Republic has been recorded crash frequency; however, it has tended to omit the important influence of natural variations known as regression to the mean. Using the expected number of crashes and empirical Bayes adjustment is the recommended solution. This number is calculated with the use of a crash prediction model, taking into account availableexplanatory factors and controlling for potentially confounding variables at the same time. The aim of this study was to compare both traditional and empirical Bayes approaches to identification of hazardous road locations. A crash prediction model for the regional rural road network was developed for the purpose of the study. The whole 2nd class road network in Czech region of South Moravia was used. The resulting expected injury crash frequency was further adjusted by the empirical Bay

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JO - Pozemní dopravní systémy a zařízení

OECD FORD obor

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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

2014

Kód důvěrnosti údajů

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

Název periodika

Advances in Transportation Studies

ISSN

1824-5463

e-ISSN

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Svazek periodika

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Číslo periodika v rámci svazku

34

Stát vydavatele periodika

IT - Italská republika

Počet stran výsledku

10

Strana od-do

57-66

Kód UT WoS článku

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EID výsledku v databázi Scopus

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