Connected and Automated Vehicles
Infrastructure Changes to Support Automated Vehicles on Rural and Metropolitan Highways and Freeways: Emerging Asset Information Technology (Module 4)
- Publication no: AP-R605-19
- ISBN: 978-1-925854-44-2
- Published: 8 October 2019
- PDF (free) Download
The purpose of this project is to identify gaps in current physical and digital road infrastructure to support the operation of automated vehicles on key highways and freeways in Australia and New Zealand
This Module 4 investigates emerging asset attribute and condition capture techniques, such as data capture from sensors in vehicles, to determine how this may supplement or potentially replace some asset condition information collected by road agencies.
- Summary
- 1. Introduction
- 1.1 Different business models and technology capabilities
- 1.1.1 Specialist survey vehicles
- 1.1.2 Fleet-sourcing
- 1.1.3 Crowdsourcing
- 1.1 Different business models and technology capabilities
- 2. What is the Technology Capable Of?
- 2.1 Sensor technologies
- 2.1.1 Cameras
- 2.1.2 Gyroscopes and accelerometers
- 2.1.3 LIDAR
- 2.1.4 Radar
- 2.1.5 Accessing vehicle sensor data (CANbus)
- 2.1.6 On-board mass units
- 2.2 Image analysis (processing) technologies and methods
- 2.1 Sensor technologies
- 3. Current Market Examples
- 3.1 Examples of applications
- 3.1.1 Pothole detection
- 3.1.2 Winter road maintenance
- 3.2 Examples of vendors
- 3.2.1 Mobileye and Road Experience Management (REM)
- 3.2.2 Retina Visions
- 3.2.3 Roadbotics
- 3.1 Examples of applications
- 4. The Perspective of Road Operators
- 4.1 Road operator state of practice
- 4.2 Current and potential road operator uses for fleet-sourcing and crowdsourcing
- 5. Conclusions and Next Steps
- 5.1 Next steps
- References
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