Easy and novel ways to engage communities around road safety
This project provided an overview of new and emerging technology solutions to aid community engagement around road safety.
This project provided an overview of new and emerging technology solutions to aid community engagement around road safety.
This project will allow assessment of C-ITS benefits, deployment, & considerations & provide recommendations that could support adoption by Australian road authorities.
Our smart bike light trial has ended, and the wrap-up article, and the trial’s final report, ‘Light Insight Trial (LiT) Research Report’ is available here.
This project will investigate the use of Co-operative Intelligent Transport Systems (C-ITS) technologies to improve safety for motorcycle riders.
An investigation of technologies that help communities, stakeholder groups and decision makers to understand road safety.
Project aim is to identify/analyse specific aspects of existing & emergent connected & other vehicle & traffic data, to improve existing network management.
Progress on the Light Insight Trial, in which smart bike lights provide data from cyclists’ journeys to proving insights into improving safety and informing policy.
Find out more about RMIT student Kun Zou, a participant in iMOVE’s Industry PhD Program. His research project: Advanced driver state monitoring system.
The iMOVE team congratulates Robert Bosch (Australia), the winner of the 2021 ITS-Australia /iMOVE Excellence in R&D Award.
A project investigating whether smart bike lights will not only enhance visibility, but also provide new insight into road safety issues for cyclists.
The technology on iMOVE’s project on the AIMES transport test bed is about to have an AI-enabled video system to make its intersections safer.
Victoria has begun a 2 year trial of Telstra’s new Cellular V2X technology. iMOVE partners VicRoads and the Transport Accident Commission are also involved.
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.