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Development of Machine-Learning Decision-Support Tools for Pavement Asset Management
AP-R682-22
20 Dec 2022
Asset Management
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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
WEB-AP-R677-22
20 Sep 2022
Traffic Management
More
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
AP-R677-22
11 Aug 2022
Traffic Management
More
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
AP-R664-22
12 Jan 2022
Connected and Automated Vehicles
More
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…
Webinar: Road Authority Data for Connected and Automated Vehicles
WEB-R662-21
9 Dec 2021
Connected and Automated Vehicles
More
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…
Road Authority Data for Connected and Automated Vehicles: Guidance for Agency Data Provision to Connected and Automated Vehicles
AP-R662-21
8 Dec 2021
Connected and Automated Vehicles
More
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…
Future Vehicles Forecasts Update 2031
AP-R654-21
6 Sep 2021
Connected and Automated Vehicles
More
This report is an addendum to the Austroads Future Vehicles 2030 report (AP-R623-20), published in June 2020. Future Vehicles 2030 included forecasts of sales and fleet penetration for eight vehicle technologies or uses, including Automated Driving,…
Webinar: Next Generation Asset Data Collection: Road Pavement Performance
WEB-R651-21
22 Jun 2021
Asset Management
More
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…
Next Generation Asset Data Collection: Road Pavement Performance
AP-R651-21
27 Apr 2021
Asset Management
More
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…
Future Vehicles 2030
AP-R623-20
25 Jun 2020
Connected and Automated Vehicles
More
Australian and New Zealand vehicle fleets may be entering a period of significant change due to the emergence of Automated, Connected and Electric Vehicles and new models of vehicle ownership and use such as ride sharing services. This report…
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