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RISMET

Road Infrastructure Safety Management Evaluation Tools

 

Objective of the project
Fortunately, hardly any European country has locations in their road network where excessive numbers of serious crashes occur. This means that now the traditional black spot approach can be expected to result in only moderate safety improvement. Road authorities – who commissioned this study – will therefore benefit from a method which compares the safety level (crash rate) of longer road sections with a ‘normal’ level for the road type concerned. In RISMET Accident Prediction Models (APM) are used to determine this ‘normal’ safety level for several non-urban road types, mostly distributor roads. Next, different tools will be assessed that can be used to locate the problems on roads with a high crash rate and that can indicate which measures can reduce the crash rate.  

 

SWOV contribution
For a considerable period of time the Netherlands has been using core data to indicate a certain crash rate per road type. The disadvantage of that method is that the rate using core data is independent of the traffic volume (intensity * road length), but in fact the crash rate strongly depends on traffic volume. APMs overcome this drawback. SWOV will draw op some APMs for the Netherlands and test both national and international instruments which can possibly reduce the high risks in a cost-effective way. SWOV is consortium leader of RISMET.
 
Duration
October 2009- August 2011

 

Website
www.eranetroad.org

Link to the pdf file about RISMET

 

Knowledge base