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Showing 1 - 10 of 23 Publications
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: Australia and New Zealand Roads Capability Analysis 2022-2032
Following previous workforce capability studies undertaken in 2006, 2009, 2013 and 2017, Austroads engaged Oxford Economics Australia to undertake a new workforce capability analysis for member authorities based on planned and forecasted…
Australia and New Zealand Roads Capability Analysis 2022-2032
This report evaluates the skills and capabilities required by Austroads member agencies in the next decade to achieve their service objectives. It compares these requirements with the current and projected future workforce, identifies potential…
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…
Webinar: Multimodal Incident Management
Road agencies increasingly recognise the value of coordination and cooperation with public transport operators in responding to road and transport incidents, as it helps support a more holistic and integrated multimodal approach to minimising…
Multimodal Incident Management: Research, Principles and Capability Framework
This report details research into the ways transport agencies manage unplanned incidents that impact the normal operation of more than one transport mode. It includes 10 guiding principles and a capability framework. Road agencies need guidance on…
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…