The University of Adelaide CENTRE FOR AUTOMOTIVE SAFETY RESEARCH

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TitleUsing in-depth accident data to identify limitations when applying crash injury risk curves
AuthorsTyler W, Stokes CS, Woolley JE
Year2021
TypeUnknown
AbstractInjury risk curves outline the relationship between speed and the risk of high severity outcomes for certain crash configurations, and hence are a convenient tool for road infrastructure design practitioners when assessing the safety of certain road designs. However, aggregation of data used to create these risk curves can hide important complexities that limit their usefulness. The aim of this study is to contextualise such risk curves with respect to other determining factors of crash injury severity. In-depth crash investigation data from the Initiative for the Global Harmonisation of Accident Data (IGLAD) database is used to compare the predicted risk of high severity outcomes with actual severity outcomes of crashes. The results of this study suggest that the risk of high severity outcomes was either under- or over-predicted for a substantial proportion of crashes within the database.
Conference Name2021 Australasian Road Safety Conference
Conference AbbreviationARSC21
Conference LocationMelbourne, Australia
Conference Date28-30 September 2021

Reference
Tyler W, Stokes CS, Woolley JE (2021). Using in-depth accident data to identify limitations when applying crash injury risk curves. 2021 Australasian Road Safety Conference, Melbourne, Australia, 28-30 September 2021. [PRESENTED ABSTRACT]