@article{ref1,
title="Developing a curve risk prediction model for a safe system signature project",
journal="Journal of the Australasian College of Road Safety",
year="2015",
author="Durdin, Paul and Harris, Dale",
volume="26",
number="3",
pages="52-60",
abstract="The Safer Journeys Action Plan 2013-2015 identifies safe system signature projects as a strategic action to achieve the Safer Journeys vision. The rural roads of New Zealand's Eastern Bay of Plenty (EBoP) region were identified as an area where a signature project has the potential to make demonstrable advances in reducing road trauma for all road users. This paper describes a new risk prediction methodology that identifies high-risk curves independent of crash history. Using geospatial data and innovative analysis techniques, existing methodologies for identifying curves and calculating vehicle operating speeds were modelled and automated to undertake a network-wide assessment of high risk curves. The new methodology extracted and classified almost 7000 curves across 1,500km of road network. When compared to the location of loss-of-control crashes, it was found that 66.6% of crashes occurred on 20.3% of curves classified as 'high risk' in at least one direction. These results have been shared with road controlling authorities and will support prioritised road safety improvements targeting high risk curves<p /> <p>Language: en</p>",
language="en",
issn="1832-9497",
doi="",
url="http://dx.doi.org/"
}