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.
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.
Co-operative eco-driving system for mixed traffic on urban roads
The objective of this PhD study is to develop an eco-driving system for a mixed traffic consisting of CAVs and human-driven vehicles (HVs) on urban roads.
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.
Evaluating urban freight impacts via sustainable alternatives
This PhD project proposes an urban distribution model based on the combination of a logistics platform and a network of Mobile Depots that use light vehicles.
Electric vehicles: Supporting uptake, investigating smart charging
This PhD project looks to investigate how EV owners use and charge their vehicles, and more broadly, Australian consumers’ willingness to purchase an EV.
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.
Evaluation of the Wagga Wagga Active Travel Plan
The research project will provide evidence of the short to medium-term changes and benefits of the Active Travel Plan, as well as enable longer-term benefits.
Promoting sustainable university travel choices
This project will provide robust recommendations for suggested initiatives to influence travel behaviours and demand in a university environment.
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.
Estimating freight origin-destination activity using video and data
This PhD project involves integration of multiple data sources for estimating freight origin-destination (OD) activities using video and traffic counts.
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.
Using a data-driven approach to improve intersection modelling
This PhD project investigates the use of big data and advanced mathematical techniques to better model the traffic flow at intersections.