Publications

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…

Join us for a webinar that delves into the latest on connected and automated vehicles (CAVs) and the pivotal role that interaction with physical infrastructure plays in their integration into our transport system. In this session, we will present a…

These guidelines set out criteria that must be addressed in any application for an automated vehicle trial. The guidelines aim to provide clear guidance on matters that should be addressed by trialling organisations as part of the trialling process…

Trials of automated vehicle (AV) technology are undertaken to research and develop the technology, understand the supporting regulatory and operational frameworks required, and prepare for wide-scale adoption of the technology. Governments across…

These guidelines set out the key stages associated with evaluation and reporting of automated vehicle trials including: scoping and planning

The presence and use of technology in light vehicles has been increasing at a steady rate for several years. Advanced Driver Assistance Systems: Driver Education Guide provides a brand and model neutral list of Advanced Driver Assistance Systems…

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…