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 explores the origins of the program, how and why it started, it will share high-level insights from the evaluation, including what worked, what didn’t and what was learnt along the way. It also shares ‘where to next’ for the program and…

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…

This report details road and transport safety interventions that can reduce fatal and serious injury crashes in regional and remote areas. It contains the factsheets, prioritisation framework, and evaluation framework from the report Practical…

This report details road and transport safety interventions that can reduce fatal and serious injury crashes in regional and remote areas. A literature review expands on the Austroads National View on Regional and Remote Road Safety report by…

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…