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.…

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…

Can motorcycle protective clothing really prevent serious injuries in motorcycle crashes? Over the past 20 years there have been great advances in the technology of impact and abrasion resistant materials and yet many of the garments currently…

The current learner approved motorcycle scheme (LAMS) was introduced in NSW in 2002 to replace the 250cc engine capacity limit for novice riders (i.e., those on learner and provisional licenses) as race replica 250cc motorcycles were over-…

Austroads has recently completed a project that investigated road-based treatments as a perceptual countermeasure (PCM) to influence motorcyclist perceptions of speed and lane width in order to incentivise a safe approach when negotiating critical…

The current Learner Approved Motorcycle Scheme (LAMS) was introduced in NSW in 2002 and has since been adopted by all states, territories, and New Zealand, albeit with some amendments in some jurisdictions. There has not been a formal review of LAMS…

This report details a trial conducted to evaluate whether a suitable road-based perceptual countermeasure (PCM) could influence the travelling speed as well as lane position of motorcyclists to induce a safe curve negotiation. The motorcyclist PCM…

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…