Improving road freight outcomes with telematics data: A roadmap
The project developed a tailored roadmap for the governance of truck movement data for the purposes of informing policy, planning and network operations.
The project developed a tailored roadmap for the governance of truck movement data for the purposes of informing policy, planning and network operations.
A wrap-up of the “Scenario developments for forecasting urban freight shifts” project, including downloadable copies of its final reports.
Development of a roadmap for the governance of truck movement data, analysing current / future policy and data sharing landscape for truck telematics data.
Download ‘Key Freight Route Mapping’, the final report from our Mapping Australian freight: SWOT analysis project.
The development of the Freight and Servicing Last Mile Toolkit, the outcome of a project involving Transport for NSW, University of Melbourne, and iMOVE.
An interview with Dr Hadi Ghaderi of the Swinburne University of Technology, discussing supply chains, logistics, his career path, & broader transport interests.
An interview with Dr Dia Adhikari Smith, e-mobility research fellow at the University of Queensland’s Dow Centre for Sustainable Engineering Innovation.
Watch the recording of our ‘Digitisation of transport and freight: How are we tracking in Australia, and where are the opportunities?’ webinar.
Download the final report from iMOVE’s ‘Digitisation in transport and freight: Lessons for Australia’ project.
The objective of this PhD project is to analyse the relationship between telemetry and its impact on commercially sustainable transportation solutions/networks.
This R&D project will research existing Australian freight and supply chain geospatial initiatives for a SWOT analysis of national freight mapping.
This project will develop a framework/tool for forecasting future scenarios of urban freight in informing planning and regulation (transport and land use).
The newly-announced National Location Registry will perform a pivotal role in providing more accurate and reliable Australian location data.
Development/delivery of a low-cost IoT-based system for live tracking & condition monitoring of freight consignments across multiple carriers & transport modes.
This PhD project involves integration of multiple data sources for estimating freight origin-destination (OD) activities using video and traffic counts.
This research project will develop and trial end-to-end monitoring and traceability of freight, using medicinal cannabis as its use case.