Publications

This webinar presents the results of the Austroads project that developed guidelines for incident response vehicles and truck-mounted attenuators.

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 report examines incident response vehicle (IRV) design and procurement, and the use of truck-mounted attenuators (TMA) in incident response. It documents the research and stakeholder consultation undertaken to inform the development of…

Use of truck-mounted attenuators (TMAs) improves responder and road user safety around incident sites. The Guidelines for the Use of Truck-Mounted Attenuators in Incident Response are intended to provide direction for practitioners where positive…

Incident response vehicles (IRVs) are used to attend incident sites to make the sites safer and provide recovery services to affected networks, vehicles and persons. They are tailor-made vehicles designed with specific considerations for the safety…

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…

Austroads has developed a set of reference architecture models, content and guidance for use by road agencies to identify, plan and improve their multimodal incident management (MMIM) capabilities. MMIM is the resolution of an unplanned incident…

This report presents a set of reference architecture models, content and guidance for use by road agencies to identify, plan and improve their Multimodal Incident Management (MMIM) capabilities. MMIM is defined as the resolution of an unplanned…

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…