Project 4.3 (2019)

Digital Infrastructure to support connected and autonomous vehicles (CAVs)
Background

This project seeks to investigate how infrastructure should be designed, planned and deployed to facilitate and accommodate emerging technology such as autonomous vehicle (AV), its connectivity and interaction with both the infrastructure and other entities sharing the road networks.

Despite the impressive progress made with AV technologies, fully autonomous vehicle (level 5) will unlikely to be materialised unless every vehicle in the network operates at the same level. Consequently, there will be a long and complex transition period where AV will be operating under human supervision at level 3 or 4, and in a mixed traffic with other vehicles driven by human.

Research into the mixed traffic behaviour and the required infrastructure to support and operate such a network is still in its early stage which underpins the needs for this project. This research will leverage knowledge in traffic theory, data communication, network design and optimisation to investigate and evaluate infrastructure requirements for a safe and efficient mixed traffic management involving connected AVs.

Project Objectives

1. To study and evaluate the design and infrastructure requirements of urban roads networks to accommodate future traffic flows involving connected and autonomous vehicles (CAVs).

2. To develop a suitable theoretical framework and solution methods in order to enable and support future-proof infrastructure planning and development.

Chief Investigators: 
  • Professor Le Hai Vu (LCI - Monash University)
  • Dr Yihai Fang (Monash University)
Industry partners: 
Partner investigators: 
Ross Guppy (Austroads Ltd)