Publications

The Austroads Road Authority Data for Connected and Automated Vehicles (RADCAV) project studied the provision of agency-owned data to connected and automated vehicles (CAVs) addressing six high-priority data sets: roadworks, incidents, variable…

These eight reports provide guidance on the provision of agency-owned data to connected and automated vehicles (CAVs). Six high-priority data sets are addressed: roadworks, incidents, variable speed limit signs and lane control signals, static speed…

Austroads has recently published the final report for the three-year project 

This is the final report for a three-year project which has investigated a number of different aspects of the requirements, gaps, and opportunities for supplying infrastructure data suitable for supporting a future heavy vehicle cost recovery and…

This webinar provides an overview of Austroads&rsquo

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…

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…

This webinar, presented on 13 November 2018, outlines the strategic context on the supply of road operator data for connected and automated vehicles use in Australia, and the recommended next steps to navigate through this developing field.

To support ongoing data harmonisation objectives, work has been completed to understand the knowledge sharing business requirements, gaps in people (capability), technology, processes and data

This report sets out the strategic context for the supply of road operator data for use by Connected and Automated Vehicles (CAVs) in Australia and includes recommended next steps.CAVs are anticipated to rely heavily on data from their sensors for…