How understanding disease spread can help traffic congestion
Could the need to track the coronavirus’ spread hold clues to non-health areas, such as traffic congestion? A new iMOVE project is testing the model.
Road safety lift: CAVs can now see around corners
Australian scientists have made a breakthrough in cooperative perception tests, showing that CAVs can now see hidden pedestrians, even through buildings.
Australia’s Public Transport Disability Standards and CAVs
This project will examine if and how CAV modes and services can be incorporated into the Disability Standards for Accessible Public Transport 2002.
Working from home: Changes in transport demand in Perth
Project to build new knowledge and develop approaches to perpetuate and mainstream some of the more positive behaviours and outcomes of working from home.
Encouraging continuation of work from home post-pandemic
A project examining the benefits/drawbacks of working from home, and the impacts of different arrangements on productivity, transport, health, & wellbeing.
A Smart Transport Technology Roadmap for Perth
Research project to develop empirical understanding of the skills gaps, shortages, and the necessary training needs in transport/mobility to inform policy.
Connected Vehicle Pilot: Safety and user perceptions evaluation
The build of standardised analysis methodology to evaluate the safety benefits of C-ITS, guiding transport agencies in regard to supporting its development.
WEBINAR: Our future transport mobility environment
This webinar will address the question, How do we bring together the people, processes, systems & technology we need to deliver future transport systems?
Modelling traffic congestion as a contagion
Does the formation of traffic congestion resemble the spread of a virus? This PhD project with the University of NSW is investigating.
Transport predictive solution Stage 1: Aimsun WA Live pilot
R&D of new algorithms to process raw data generated by the current RT4 radar, assigning an Austroads classification to all detected vehicles.
Non-invasive vehicle classification solution using tracking radar
R&D of new algorithms to process raw data generated by the current RT4 radar, assigning an Austroads classification to all detected vehicles.
Modelling traffic disruption impact: Deep Learning & simulation
This PhD looks at prediction of traffic disruptions in cities using AI and synergising traffic simulation modelling to help traffic authorities respond.
Colin Lew on COVID-19 and transport
Colin Lew, Head of Technology at Intelematics, writes about what he sees happening to transport now and in the future in this time of pandemic.
Fixed-wing drones and small package delivery
This project investigates a novel method of using a long tether and a medium fixed-wing drone to deliver multiple packages at various weights.
Matt Stockwell: Freight data to the hub
Our interview with Matthew Stockwell, about his work in championing the use of freight data to help Australian supply chains.
HD maps for automated driving – literature review
This project will carry out a literature review on high definition map creation, ahead of further work in this area to facilitate automated driving.