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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.…
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: 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…
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…
Future Vehicles Forecasts Update 2031
This report is an addendum to the Austroads Future Vehicles 2030 report (AP-R623-20), published in June 2020. Future Vehicles 2030 included forecasts of sales and fleet penetration for eight vehicle technologies or uses, including Automated Driving,…
Webinar: Next Generation Asset Data Collection: Road Pavement Performance
The increasing pace of change of technology brings considerable promise of more data, of a higher quality, captured for a lower cost. This has the potential to improve the asset management of roads by enabling better decision making and providing a…
Next Generation Asset Data Collection: Road Pavement Performance
This report identifies and evaluates technology solutions that meet asset management needs relating to road pavement performance. The increasing pace of change of technology brings considerable promise of more data, of a higher quality, captured for…
Future Vehicles 2030
Australian and New Zealand vehicle fleets may be entering a period of significant change due to the emergence of Automated, Connected and Electric Vehicles and new models of vehicle ownership and use such as ride sharing services. This report…