Publications

This report is an output of a project that incorporated both consultative and desktop research components to establish supportable national policy directions to inform the development of a national mobile driver licences (mDL) implementation roadmap.…

This document provides a hyperlinked list of the Austroads Test Methods and Specifications.

This method describes the procedure for the determination of the surface texture depth of road surfaces, by the sand patch technique. This method is only applicable to surface texture depths greater than 0.3 mm. This method was developed from BS…

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…

This document describes the procedures to be followed to test an asphalt specimen using a wheel tracking test device. The procedures can be carried out on prismatic specimens that have been manufactured in the laboratory, cut from an existing…

This document describes the procedures to verify that a wheel tracking test device complies with the requirements of those devices permitted for use in Austroads test method ATM 231. The procedures are advisory rather than mandatory and reference…

The test method specifies procedures for the characterisation of the stiffness and fatigue behaviour of bituminous mixtures using a four point bending test configuration. The test procedure to characterise the complex modulus is contained in Section…

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…