Publications

This report provides practical advice and examples of ways to successfully accelerate transport infrastructure projects and programs up to $500 million. An accelerated project or program has delivery expedited, typically in response to external…

This report explores the use of Artificial Intelligence (AI) and Machine-Learning (ML) in pavement asset management and details a methodology for developing new use-cases. While there are some existing uses of AI and ML technology in pavement asset…

Third party assets on road and rail projects have a significant impact on major projects. This report documents a project to reduce the negative impacts of third-party assets on the successful delivery of road infrastructure projects across…

This user guide provides guidance on the Investment Prioritisation Templates. The templates are designed to help road authorities consider an investment opportunity through multiple dimensions, such as the benefits of the project, and risk with and…

This report proposes a holistic and risk based prioritisation framework to support investment decisions across road asset classes and expenditure categories. Transport agencies currently rely on different decision making frameworks to help identify…

Austroads commissioned this study to investigate the current challenges and issues affecting the delivery of transport infrastructure projects and the consequential impacts on value for money, timeliness of delivery, agency and political reputation.…

The procurement decision tool (&ldquo

Guidelines and Specification for Microsurfacing provides guidelines for the use of microsurfacing treatments in Australia. Microsurfacing is presently the only type of bituminous slurry surfacing applied in Australia. The document was produced by…

An existing model predicted binder life by combining a binder hardening (increase in viscosity) model and a distress viscosity model. Inputs for the two models were site temperature parameters, binder durability (resistance to hardening) and seal…

An existing model predicted maximum seal life by combining a binder hardening (increase in viscosity) model and a distress viscosity model. Inputs for the two models were site temperature parameters and binder durability (resistance to hardening).…