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.…

Austroads has developed an extended vehicle classification scheme (EVCS) to enable improved understanding and monitoring of the evolving vehicle mix on Australian and New Zealand roads in traffic and transport surveys. This builds upon the existing…

Austroads has developed an extended vehicle classification scheme (EVCS) to enable improved understanding and monitoring of the evolving vehicle mix on Australian and New Zealand roads in traffic and transport surveys. This builds upon the existing…

Austroads has developed an extended vehicle classification scheme (EVCS) to enable improved understanding and monitoring of the evolving vehicle mix on Australian and New Zealand roads in traffic and transport surveys. This builds upon the existing…

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 extended vehicle classification scheme builds on the influential 1994 scheme. The extended scheme provides greater granularity across the 12 classes in the 1994 scheme. It also provides a new classes for: active transport to address the…

Safe, efficient and sustainable road transport relies on the accurate classification and identification of vehicles operating on our road networks. Accurate vehicle surveys support the planning and management of road assets and the regulation of…

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…