DSRC and cooperative perception
Development of a general framework for cooperative data fusion, integrating data coming from vehicles and infrastructure.
Development of a general framework for cooperative data fusion, integrating data coming from vehicles and infrastructure.
A project involving a comprehensive review of national and international research on travel demand modelling, with a view to informing future research.
Improvement of Brisbane’s parking management through analysis, prediction, and data sharing.
Preparation for the arrival of Connected and Automated Vehicles on Australian roads, and their safety, mobility and environmental benefits.
Assessment of how successful current road infrastructure is in allowing the safe and reliable use of automated vehicles, and how to fix shortcomings.
The report from IMOVE’s first completed project, the MaaS and On-Demand Transport Consumer Research & Report, has been published.
This iMOVE research project involves the collection and analysis of detailed data to implement and validate advanced algorithms, to support the early identification of the onset of congestion and identify how best to mitigate its potential impact.
Security Credential Management System (SCMS) project, as part of the 500-vehicle, on-road field operational test of Cooperative Intelligent Transport Systems safety applications.
This project aims to improve the ability of road authorities to predict network performance in the short-term using data-driven analytics and to estimate the impact of automated vehicles (AVs) in longer-term predictions.
Related research streams to support the Westport Taskforce in planning for the Outer Harbour at Kwinana and the associated road and rail links as part of the long term integrated transport plan for Western Australia.
Queensland Department of Transport and Main Roads is conducting an on-road field test of C-ITS safety applications retrofitted to around 500 vehicles and road infrastructure, in Ipswich, Queensland.