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.
This project will offer a real-time decision support tool for traffic operations centres to predict network congestion, and evaluate the possible responses.
This project explores new/emerging technologies offering a true frictionless ticketing experience across multiple modes for disabled public transport customers.
Cooperative perception is an emerging and promising technology for CAVs. Its further development has been the focus of a recently completed iMOVE project.
Read about the findings from our ‘Conceptual architecture for future transport and mobility environment’ project, and download the final report.
This project will identify and trial suitable systems for automatic real-time patronage counting for replacement bus services during Melbourne rail disruptions.
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.
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.
This research project will develop and trial end-to-end monitoring and traceability of freight, using medicinal cannabis as its use case.
This research will undertake a comprehensive systematic literature review of international best practice in digitisation in the transport & freight sectors.
A downloadable final report for our ‘Managing transport system investment risk’ project, along with the main findings of that report.
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.
This project will investigate the systemic issues, opportunities, and barriers for overcoming transport disadvantage and enhancing community transport.
A downloadable final report for our Co-modality: Making use of public transport to carry freight, with partners Transport for NSW and University of Sydney.
A downloadable progress report on our Evaluating loading dock capacity in new developments project.
This PhD project will develop an end-to-end food shipping quality monitoring and assurance system based on a wide area IoT network architecture.
Assessment of emerging sustainable urban mobility opportunities for Liverpool NSW, underpinned by the opening of the new Nancy-Bird Walton Airport.