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.
Overviews, progress reports, and general info for research and development projects carried out by iMOVE and its partners, in the areas of: Intelligent Transport Systems, Freight and Logistics, and Personal and Public Mobility.
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.
Modelling perimeter controls: Detailed simulation
This project will build on simulations of gating, and use MFDs to demonstrate its benefits in enabling better control of the Perth road network.
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.
How soon is now? The convincing case for connected vehicles
The results of an eight-month study of the benefits of moving to more connected vehicle technology on Australian roads have been released.
Real-time data for better informed transport and parking choices
This project will use the Chatswood CBD as a living laboratory using data to improve visitor experience, with an initial focus on parking.
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.
Understanding skills gaps/training needs in the transport sector
Research project to develop empirical understanding of the skills gaps, shortages, and the necessary training needs in transport/mobility to inform policy.
FLEXible use case – enhancing the Tonsley shuttle trial
From lessons learnt in the FLEX autonomous shuttle trial at the Tonsley Innovation District, this project will deliver new, innovative use cases for FLEX.
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.
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.
Next-generation integrated traffic control
PhD research, developing a new algorithm for integrated traffic network control, with ramp metering, variable speed limit and arterial intersection control.
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.