This project will investigate the use of Co-operative Intelligent Transport Systems (C-ITS) technologies to improve safety for motorcycle riders.
The Department of Transport and Main Roads (Queensland) CAVI initiative is at the forefront of work on connectivity and automation for safer & cleaner roads.
Project aim is to identify/analyse specific aspects of existing & emergent connected & other vehicle & traffic data, to improve existing network management.
What iMOVE articles did readers most head to over the year of 2022? Our top 10 list for the year is here!
An interview with Tim Camilleri, e-Mobility Solutions Manager at Volvo Australia. His work involves electric, hydrogen, & autonomous trucks for Australian roads.
Dr Ali Ardeshiri is an urban economist/choice modeller at the University of South Australia. Here we find out more about his research, career path, and more.
iMOVE interview with Amit Trivedi, of the Department of Transport and Main Roads (Queensland), about his work with CAVs, his career, and more.
Watch the recording of our ‘Understanding the community’s desire to interact with Connected and Automated Vehicles’ webinar.
A comparative assessment of C-ITS technologies & international standards, helping inform future decisions for nationally consistent approaches for deployment.
This work will develop a novel secure data provenance scheme for the Internet of Vehicles, ensuring data security, originality, & confidence in decision-making.
Register for our 11 October 2022 webinar, ‘Understanding the community’s desire to interact with Connected and Automated Vehicles’.
This PhD project aims to propose a solution to identify and possibly prevent any type of early stage C-ITS misbehaviour in the network.
iMOVE Managing Director Ian Christensen shines a light on three areas in which he sees strong opportunities for transport collaboration and focus.
This project will identify functional safety risks of selected scenarios of the remote operation of Highly Automated Vehicles, and provide recommendations.
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.
This PhD project will look at algorithms to estimate the position/intention of pedestrians essential for the safe interaction between CAVs and pedestrians.