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Mobile Driver Licences: Developing a Harmonisation Roadmap
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 Annual Report 2022-23
The Austroads annual report 2022-23 provides a final report on the delivery of the Austroads Strategic Plan 2020-24 and the financial performance of Austroads and Transport Certification Australia.
Webinar: Minimum Requirements for Traffic Signs, Traffic Signals and Line Markings
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…
Webinar: Practical Approaches for Managing Regional Road Safety Priorities
Road users in regional and remote Australia are at a greater risk of road trauma than those living in major cities. Approximately one third of Australians live in regional or remote areas but two thirds of fatal crashes occur in these areas. The…
Webinar: A National Approach to Measuring Non-fatal Crash Outcomes – Stage 2
Information on injurious road crashes is required for prevention. National information on fatal cases has been available for many years, but information on serious non-fatal cases has been lacking. This webinar will take participants through the…
Webinar: Development of Machine Learning Decision Support Tools for Pavement Asset Management
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…
Webinar: Success Strategies for Delivering Artificial Intelligence and Machine Learning Projects
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…
Development of Machine-Learning Decision-Support Tools for Pavement Asset Management
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…
Austroads Annual Report 2021-22
The annual report provides a detailed review of Austroads&rsquo
Agency Business Capability Model to Support Connected Vehicles
This report presents an agency business capability model to support connected vehicles. The model defines the required agency business capabilities and associated capability maturity target states from business and technology perspectives. Connected…