Smart bridge health monitoring and maintenance prediction
This project investigates the use of an integrated package of IoT, computer vision and machine learning to support smart bridge health monitoring and prediction.
Scenario developments for forecasting urban freight shifts
This project will develop a framework/tool for forecasting future scenarios of urban freight in informing planning and regulation (transport and land use).
Advanced data analytics: Real-time demand calibration/prediction
This project aims to improve travel demand calibration and accuracy of 24 hour/ 7 days network simulation models for any hour of any day.
CAVs: Barriers and opportunities for people with disability
The iMOVE project Australia’s Public Transport Disability Standards and CAVs project has been completed, and final reports are available for download.
Low-cost IoT-based solution for tracking and monitoring of freight
Development/delivery of a low-cost IoT-based system for live tracking & condition monitoring of freight consignments across multiple carriers & transport modes.
Transport predictive solution Stage 2: AI and real-time simulation
This project will offer a real-time decision support tool for traffic operations centres to predict network congestion, and evaluate the possible responses.
Frictionless ticketing for public transport accessibility
This project explores new/emerging technologies offering a true frictionless ticketing experience across multiple modes for disabled public transport customers.
Development and use of cooperative perception for CAVs
Cooperative perception is an emerging and promising technology for CAVs. Its further development has been the focus of a recently completed iMOVE project.
Future Transport and Mobility Environment project – Final report
Read about the findings from our ‘Conceptual architecture for future transport and mobility environment’ project, and download the final report.
Replacement bus patronage counting and wait time measurement
This project will identify and trial suitable systems for automatic real-time patronage counting for replacement bus services during Melbourne rail disruptions.
Melbourne tram load estimation and real-time load prediction
This project will develop data fusion and machine learning models to estimate service use for Melbourne trams and make real-time prediction of tram loads.
Accelerated and intelligent RAP data collection
Use of AI and machine learning techniques in collecting AusRAP data has potential to reduce costs and increase the frequency and accuracy of its information.
Smart supply chain tracking of highly regulated substances
This research project will develop and trial end-to-end monitoring and traceability of freight, using medicinal cannabis as its use case.
Digitisation in transport and freight: Lessons for Australia
This research will undertake a comprehensive systematic literature review of international best practice in digitisation in the transport & freight sectors.
Transport investment planning, tools, and frameworks
A downloadable final report for our ‘Managing transport system investment risk’ project, along with the main findings of that report.
ODIN PASS: A Mobility as Service trial at UQ
The ODIN PASS MaaS trial will launch in mid-2021 at University of Queensland St Lucia for staff and students over a 12-month initial deployment period.