Publications

This is the second webinar in a two-webinar series. The session describes two case studies in the use of machine learning (ML) and artificial intelligence (AI) to create decision-support tools for pavement asset management. In the first study, we…

Austroads has published practical guidance to help expand the use of artificial intelligence (AI) and machine learning (ML) in pavement asset management. AI/ML projects are notoriously prone to failure, including late or incomplete delivery, or even…

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…

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…

Currently road authorities rely on multiple different decision making-frameworks to help identify investment opportunities for the road network. The framework used often varies depending on the nature of the expenditure. For example, cost benefit…

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…

This webinar, presented by Adrian Bridge on 31 July 2020, provides an overview of a new procurement decision tool and its application to a road infrastructure project, the Toowoomba Second Range Crossing (TSRC) in Queensland. The procurement…