The use of the surface condition index (SCI) and pavement condition index (PCI) is becoming more popular across the asset management space. These indexes allow asset managers to quantify the functional (SCI) and structural (PCI) conditions of their assets through a bespoke index. With weighted parameters and applicable intervention levels, asset managers can make data-backed decisions across their road network to drive better condition and accurate maintenance activities. Data derived decisions ensure that maintenance is applicable, timely and cost effective regarldes of the lifecycle stage of the asset.
The right treatment, at the right time, at the right cost - this is what accurate SCI and PCI can drive.
The technologies that can identify asset condition are improving in accuracy and capability. Historically, structural deflection data was not included in PCI analysis due to the slow and expensive nature of FWD testing. The NTRO Intelligent Pavements Assessment Vehicle (iPAVe) is equipped with a Traffic Speed Deflectometer which allows for structural deflection data to be collected at traffic speeds in conjunction with functional condition data - roughness, rutting, texture, cracking, and full visual data, all spatially referenced to support accurate SCI and structurally considered PCI analysis.
This presentation will cover how these composite condition indexes are derived, explore the latest technologies used for condition ratings, examine the types of data, and identify how practitioners can make the best use of the information for renewal planning and asset management. A range of case studies across local government, state government and the mining industry will be provided for context.