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.
Guide to Traffic Management Part 5: Road Management (2017 Edition)
Techniques for Incident Management to Support Network Operations Planning
Investigating the Potential Benefits of Enhanced End to End Supply Chain Visibility
Community Service Obligations Framework for the Roads Sector
National ITS Architecture FRAME Content Mapping
Assessment of Key Road Operator Actions to Support Automated Vehicles
Australasian Road Asset Data Standard
Pedestrian Facility Selection Tool (2017)
Future Challenges of Changing Agricultural Equipment
Assessment of ‘Life Line’ Freight Routes
Not All Roads Are Created Equal
Older Road Users- Emerging Trends
Guide to Road Design Part 3: Geometric Design: Webinar Session 2
Guide to Road Design Part 3: Geometric Design: Webinar Session 1
Introducing the Pedestrian Facility Selection Tool (2015)
An Introduction to the Austroads Design Vehicles and Turning Path Templates
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