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 speed limit signs and lane control signals, static speed limits, traffic signals, and heavy vehicle access restrictions.
This webinar, presented by Vibeke Matthews and David Yee, details a data provision framework that can be used by an agency to build capability in providing data to vehicles. The framework consists of the following components:
Capability model – a model that describes the spectrum of capabilities for the provision of agency data relative to vehicle and road agency capability over time. This ranges from Day 0.5 Capability (decision and actions made by vehicle controller), to Day 4 Capability (decisions and actions made by the vehicle).
Reference conceptual architecture – a series of outputs that describe the business architecture and information systems architecture necessary to provide agency data to vehicles at various levels of capability.
Implementation guidance – advice on how to use the Capability Model and Reference Conceptual Architecture as part of a process to improve an agency’s data provision capabilities.
The data provision framework is flexible and does not prescribe one end-state for agencies. Agencies have the freedom to choose a target state that suits their desired outcome, available funds, and appetite for change. It also caters for changes in vehicle capability over time, given that the introduction of higher-capability vehicles may be some years away.