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Webinar: Safe Active Streets – An Overview of WA's Pilot Program
This webinar explores the origins of the program, how and why it started, it will share high-level insights from the evaluation, including what worked, what didn’t and what was learnt along the way. It also shares ‘where to next’ for the program and…
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.…
Practical Approaches for Managing Regional Road Safety Priorities: Practitioner Resources
This report details road and transport safety interventions that can reduce fatal and serious injury crashes in regional and remote areas. It contains the factsheets, prioritisation framework, and evaluation framework from the report Practical…
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…
Practical Approaches for Managing Regional Road Safety Priorities
This report details road and transport safety interventions that can reduce fatal and serious injury crashes in regional and remote areas. A literature review expands on the Austroads National View on Regional and Remote Road Safety report by…
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…
Guide to Road Safety: Set
Easy access to all parts of the Guide to Road Safety
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…