Austroads: Transport Research and Trends
Government
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 being abandoned without useful outcomes.
This webinar, presented by Tim Cross and David Rawlinson, is the first one in a two-webinar series. It describes the tips, tricks and success strategies we have found to avoid the common pitfalls and ensure AI/ML projects proceed to delivery and successful integration with existing business processes. The presenters introduce a Quick Reference document to help practitioners in their projects, and provide practical examples to explain how to use it.
National Access Framework for Heavy Vehicles
Using Business Intelligence Tools in Road Asset Management
Multimodal Incident Management
NHVDCF Consultation RIS Online Briefing
Standards Australia – Bitumen and Related Materials for Roads
Sustainable Road Tunnels
Assessing Waste Material in Road Surfacings
Using the New Edition of the Guide to Road Design Part 6
Changes and New Elements of the Guide to Road Design Part 6
Guidance to Support Cloud Connected Road Users
Austroads Innovative Temporary Traffic Management Device and Solution Assessment (AITDSA) Scheme
Austroads Project Pipeline 2022-23
Use of Road-grade Recycled Plastics for Sustainable Asphalt Pavements Part 3: Performance Outcomes
Guide to Project Delivery Parts 2 and 3 Update
Perceptual Countermeasure Treatments to Reduce Crash Risks in Tunnels
Proposed Signage for Low and Zero Emission Vehicles and Associated Infrastructure
Benefits and Costs of Providing a Minimum Physical Infrastructure Standard for the Operation of Automated Driving
Maximising the Use of Sustainable Rehabilitation Treatments
Increasing the Use of Recycled Glass in Road Infrastructure
National Freight and Supply Chain Strategy
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