Investigation of relationships between skid resistant deficient pavement and aggregate by GIS and statistical analysis

Abstract

The provision of a safe road network for the public is one of the areas of strategic focus of the Queensland Department of Main Roads. One aspect that facilitates the delivery of this objective is the maintenance of road pavement surfacings to a standard that reduces the risk of road related accidents. Efficient and effective management of skid resistance is one aspect that contributes to this accident risk minimisation goal. Skid resistance is affected by a multitude of variables that relate to factors such as the vehicle, climate, and road surfacing to name a few. This dissertation will focus solely on those factors that relate to the road surface. The majority of this data is already stored in electronic form albeit in a variety of databases and formats so a computer based approach was logical. To enable effective analysis to occur it was necessary to integrate all data into a single environment. One way to achieve this is through the use of a Geographical Information System (GIS). GIS brings a powerful data integration mechanism through which analysis, presentation and enhanced communication may occur.