Publications

This linked index of the Pavement Work Tips is designed to help practitioners easily access the more than 50 publications in the Work Tips collection.

Guide to Pavement Technology Part 2: Pavement Structural Design provides advice for the structural design of sealed road pavements. The advice has been generally developed from the approaches followed by the Austroads member agencies. However, as it…

This webinar focuses on the recent update of Section 3 of the Austroads Guide to Bridge Technology Part 7.

Guide to Bridge Technology Part 7 discusses the structural management of existing bridges in practical technical terms. It documents practices relevant to forward works programming, inspection, recording, reporting, evaluation of bridge condition…

Over the last decade there has been a trend by a number of governments to invest more heavily in transport infrastructure and systems, and to accelerate programs of work. This has been a response to various ‘burning platforms’ including transport…

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…

The webinar showcases the projects recognised with the Austroads Bridge Awards. The Austroads Bridge Awards acknowledge individuals and organisations that have delivered outstanding bridge structures and design across Australia and New Zealand. The…

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…