The Transport Analytics Group is the research and development arm at CSIRO's Data61, for providing data-driven solutions for smart planning, implementation and management of infrastructure and future transport. We enhance conventional tools using data-driven techniques, which positions our group to complement existing products and services in the market. In particular, our solutions involve ML/AI-based surrogate models that can replace or augment computation-intensive physical models, whether for real-time prediction of traffic congestion propagation or streaming analytics on structural health of critical infrastructure. Integrating sophisticated ML/AI with simulation provides improved explainability and more comprehensive solutions to support decision-making for managing complex systems.
The group has been recognised by a number of prestigious awards, including the ITS Australia National Award on Research (2014, 2015, 2018), AIIA iAwards (2019), Committee for Sydney Smart City Awards (2018) and CSIRO Collaboration Medal (2018). The group was also awarded the NSW Premier’s Innovation Initiative on congestion management, a significant opportunity for the NSW Government to engage with Data61 to compile data from Opal, GPS devices, traffic signals, and buses to provide better information for the Transport Management Centre to alert road users of congestion incidents and provide information about alternatives.
We value our strong connections with transport agencies, corporates, industry peak-bodies and research institutes. These partnerships are our way to advance science and create impact in the fast-growing technology space.