Data-driven optimisation to enhance train/tram power systems
This project aims to provide actionable insights for a sustainable future in rail transport, using data-driven optimisation methods.
This project aims to provide actionable insights for a sustainable future in rail transport, using data-driven optimisation methods.
A feasibility study, examining the use of real-time train info to inform pedestrians/road users when a train will be passing, and how long the gate will be closed.
This project will allow assessment of C-ITS benefits, deployment, & considerations & provide recommendations that could support adoption by Australian road authorities.
The study will update and improve the evidence base available to NSW, QLD, and VIC governments for bulk grain production/movements on the east coast.
Development of a framework to model benefits of cycling infrastructure investments and design a prioritisation tool to generate evidence and compare benefits.
This project will pilot a community-run electric shuttle in Venus Bay and Sandy Point in Gippsland, and evaluate best practices to run such a service elsewhere.
A report on the gathering of up-to-date anthropometric data for applicability to design for the Australian transport industry.
Recommendations/policy directions for transition to LZEV trucks, & analysis of total cost of ownership & geospatial roadmap analysis for refueller / EV chargers.
Project aim is to identify/analyse specific aspects of existing & emergent connected & other vehicle & traffic data, to improve existing network management.
Finalists in the 2023 ITS Australia awards have been announced. Here’s the iMOVE projects included, & news of our sponsoring the R&D award category.
The purpose of this project is to study the route choice behaviour of pedestrians and their attitudes towards desire lines around public transport interchanges.
Download the final report from iMOVE’s ‘Innovative local transport: Community transport of the future’ project.
This project will provide a comprehensive review of currently available Australian anthropometric data and its applicability to the Australian Transport industry.
The iMOVE team congratulates Robert Bosch (Australia), the winner of the 2021 ITS-Australia /iMOVE Excellence in R&D Award.
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.