Testing of application-based goodness-of-fit measure of crash prediction model

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44994575%3A_____%2F15%3A%230001651" target="_blank" >RIV/44994575:_____/15:#0001651 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.tft.lth.se/en/ntsa/seminars/2015/" target="_blank" >http://www.tft.lth.se/en/ntsa/seminars/2015/</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Testing of application-based goodness-of-fit measure of crash prediction model

Popis výsledku v původním jazyce

Crash prediction models (safety performance functions) are one of fundamental tools of rational road network safety management. However there are many options in their development, involving the dilemma in choice of a model: while researchers strive formultivariate models, which demand area-wide databases of several explanatory variables; practitioners require simple models, based only on fundamental variables, which are more easily available and able to be periodically updated. The model choice (relative comparison between models) is usually guided by various goodness-of-fit measures: one may use simple indicators (information criterions) or more detailed tools such as plot of cumulative residuals. Other possibility is concentrating on spatial and/ortemporal transferability. Nevertheless none of the mentioned options focus on practical application of models. Identification of hazardous road locations (network screening) is the first step of road network safety management process and

Název v anglickém jazyce

Testing of application-based goodness-of-fit measure of crash prediction model

Popis výsledku anglicky

Crash prediction models (safety performance functions) are one of fundamental tools of rational road network safety management. However there are many options in their development, involving the dilemma in choice of a model: while researchers strive formultivariate models, which demand area-wide databases of several explanatory variables; practitioners require simple models, based only on fundamental variables, which are more easily available and able to be periodically updated. The model choice (relative comparison between models) is usually guided by various goodness-of-fit measures: one may use simple indicators (information criterions) or more detailed tools such as plot of cumulative residuals. Other possibility is concentrating on spatial and/ortemporal transferability. Nevertheless none of the mentioned options focus on practical application of models. Identification of hazardous road locations (network screening) is the first step of road network safety management process and

Druh

O - Ostatní výsledky

CEP obor

AQ - Bezpečnost a ochrana zdraví, člověk – stroj

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

2015

Kód důvěrnosti údajů

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