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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…
Austroads Road Deterioration Model Update: Cracking
This report documents a project designed to update the current Austroads road deterioration (RD) models using the long-term pavement performance and long-term pavement performance maintenance (LTPP/LTPPM) dataset and other data available, such as…
Austroads Road Deterioration Model Update: Roughness
This report documents a project designed to update the current Austroads road deterioration (RD) models using the long-term pavement performance and long-term pavement performance maintenance (LTPP/LTPPM) dataset and other data available, such as…
Austroads Road Deterioration Model Update: Rutting
This report documents a project designed to update the current Austroads road deterioration (RD) models using the long-term pavement performance and long-term pavement performance maintenance (LTPP/LTPPM) dataset and other data available, such as…
Austroads Road Deterioration Model Update: Deflection
This report documents a project designed to update the current Austroads road deterioration (RD) models using the long-term pavement performance and long-term pavement performance maintenance (LTPP/LTPPM) dataset and other data available, such as…
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…
Webinar: Guidance to Support Cloud Connected Road Users
Road users are increasingly recognising the value of data for improved mobility and safety. Austroads Cloud Connected Road User (CCRU) project studied how agencies can support cloud-connected road users through data from portable and fixed in-…
Supporting Cloud Connected Road Users
Cloud connected road users (CCRUs) are travellers utilising information from portable and fixed in-vehicle devices to assist with trip planning, and warning and advice when travelling. This report examines various cloud connected road user data…
Webinar: Benefits and Costs of Providing a Minimum Physical Infrastructure Standard for the Operation of Automated Driving
Physical road infrastructure such as pavement markings and signals may have an important role to play to support the uptake of automated vehicles (AVs). Austroads has recently completed a project to provide road agencies with clear advice on…