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 paper proposes a risk and criticality strategy that can be used in the development of bridge specific data collection and monitoring strategies. New Zealand has on average one bridge every 5.2km. The functionality of the road network is…

This report presents and reviews common linear and spatial location referencing systems used by road authorities and discusses the various benefits and limitations of each. Road authorities have traditionally used linear location referencing to…

The purpose of this report is to provide an overview of the Pavement Maintenance database creation, including documenting the cleaning and filtering of the results. The analysis was performed on SA, VIC, NSW and QLD datasets to identify…