Emerging crash trend analysis.
C 40456 (In: C 40388 [electronic version only] /82 / ITRD E215351
Logan, M. & McShane, P.
In: [Proceedings of the] 2006 Australasian Road Safety Research, Policing and Education Conference, Holiday Inn, Surfers Paradise, Gold Coast, Australia, Wednesday 25th October - Friday 27 October 2006, 7 p.
|Samenvatting||The identification and treatment of black spots or hazardous road locations is a core business activity for road authorities. Tools used for the identification of black spots include crash frequency (crashes per site or per km), crash rate (crashes per vehicle km travelled) or relative severity index (the aggregate of crash type costs). Experience has shown that clusters of crashes can develop over a relatively short time of one to two years. Under such circumstances, the use of a 5 year crash data analysis period would mask the seriousness of the problem and resulting in the late discovery of the site for treatment. This prompted the need to investigate and develop a means with which to provide early warning of emerging high crash locations. The Department of Main Roads and Queensland Transport have developed a methodology called Interpretive Modelling, which compares a suite of five crash indicators, over three different time periods (short, medium and long term), using a rolling segmentation along the road to ensure that no road location is overlooked. Experience to date with the application of the model has confirmed that it is an effective means of monitoring emerging crash trends. (Author/publisher) For the covering entry of this conference, please see ITRD abstract no. E215375.|
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