New government, new movement on transport?
Change brings tension and stress, but also opportunities for improvement. And so it is with our new Federal Government and matters of transport.
Prospects for Working from Home: Assessing the evidence
This new iMOVE report distils all the work we’re doing in the area of Working from Home, along with our policy considerations and recommendations.
VIDEO: Transport digitisation – lessons/opportunities for Australia
Watch the recording of our ‘Digitisation of transport and freight: How are we tracking in Australia, and where are the opportunities?’ webinar.
World best practice digitisation in transport/freight: And Australia?
Download the final report from iMOVE’s ‘Digitisation in transport and freight: Lessons for Australia’ project.
Improving roundabout modelling using drone video analytics
This project’s evidence-based approach will allow Main Roads Western Australia’s improvement of roundabout modelling practice and guidelines.
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).
Bus performance assessment using GTFS data
This PhD project will analyse archived GTFS data to identify significant inefficient road designs and exemplary designs for optimising performance
Our top 10 articles for 2021
iMOVE’s most-read articles of 2021, counted down from 10 to number 1.
National Location Registry launched to support Australian freight
The newly-announced National Location Registry will perform a pivotal role in providing more accurate and reliable Australian location data.
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.
Project boom in the Age of Zoom
Despite many of our partners being significantly impacted by COVID restrictions, iMOVE is still delivering $10 million of project activity annually.
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.