This research will address key issues regarding perceptions of ADAS and AVs in older adults, the extent to which this tech can improve their safety and mobility.
Download the three final reports from iMOVE’s ‘Ipswich Connected Vehicle Pilot (ICVP) project.
The National Forum on Urban Freight Logistics Education will take place on 17 June, 2022, at QUT and online.
An overview of the research capability, staff, and iMOVE projects involving Queensland University of Technology’s CARRS-Q.
This project will investigate likely contributing factors for traffic crashes involving traffic signal posts in Queensland, and strategies to mitigate these collisions.
A scoping study to identify opportunities to improve urban freight planning tertiary education in Australia, improving education outcomes for freight logistics.
This research will extend over a three-year period and develop a strategic digital plan to improve the parking experience in Brisbane.
Using state-of-the-art machine learning algorithms, this study will use a novel modelling approach to accurately predict traffic crashes in real-time.
This project will develop a framework/tool for forecasting future scenarios of urban freight in informing planning and regulation (transport and land use).
This project aims to improve travel demand calibration and accuracy of 24 hour/ 7 days network simulation models for any hour of any day.
This PhD research will develop and apply advanced econometric models in estimating injury severity models for active travellers.
In this PhD project data analytics on Bluetooth trajectories and traffic states will be applied to empirically estimate the assignment matrix for the network.
Hear about the exciting ITS work that has taken place in Australia over the past year, in our C-ITS projects leading the way in Australia webinar.
Find out about outcomes from Australian C-ITS projects run through iMOVE, presented by leaders and researchers on the projects.
This project will provide guidance on best practice for the procurement and safe use of incident response vehicles and truck-mounted attenuators.
This PhD project will design, implement, & evaluate a novel distributed publish-process-subscribe framework for supply chains using blockchain technology.