This project focused on utilising crowd-sourced data for generating road safety insights, aimed to understand the capabilities of such data by developing two prototype applications for road infrastructure managers.
This project will work with international experts to assess the best practice for safe deployment, use & storage of batteries in electric vehicles & micromobility.
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 “Improved Sensing for Signalised Intersections”, the technologies investigated, and the expected project impacts.
Findings, outcomes, and impacts of our’ Train horns: Broader social effects and pedestrian simulations’ project, and includes the final report as a download.
This project aims to address congestion and greenhouse gas emissions issues by delivering a real-world MaaS product selected sites on the Gold Coast.
This project will investigate/develop a data-driven assessment tool for arterial networks, using established/emerging technologies and advanced data analytics.
Amir Hosein’s iMOVE PhD project is ‘Decentralised data sharing platform for supply chains’. This profile backgrounds his work, lessons learnt, and more.
The intent of this project is to better understand active travel demand – people’s choices to use active travel, trip purposes, and their route choices.
Finalists in the 2024 ITS Australia awards have been announced. Here’s the iMOVE projects included, & news of our sponsoring the R&D award category.
Develop and field test a large animal activated roadside monitoring and alert system for detecting large animals on roadsides and alerting motorists in advance.
This project will report findings on six use cases unique to Australia as pertains to the use of autonomous vehicles on public roads.
Development of a roadmap for the governance of truck movement data, analysing current / future policy and data sharing landscape for truck telematics data.
Congratulations to Professors Sebastien Glaser and Ronald Schroeter for the new Training Centre for Automated Vehicles in Rural and Remote Regions.
The final reports for the Cooperative and Highly Automated Driving Safety Study, a trial of a prototype, level 4, highly automated vehicle on Queensland roads.
This study of advanced technologies for road user detection, sensing, and perception has the aim of enhancing traffic operations at signalised intersections.