ODIN PASS Mobility as a Service app
A case study of our work with the Department of Transport and Main Roads (Queensland) and The University of Queensland on the ODIN PASS.
A case study of our work with the Department of Transport and Main Roads (Queensland) and The University of Queensland on the ODIN PASS.
Project aim is to identify/analyse specific aspects of existing & emergent connected & other vehicle & traffic data, to improve existing network management.
This project aims to perform a comprehensive diagnostic of TMR’s motorway control algorithms and opportunities for optimisation using emerging technologies.
Develop performance-based, multimodal network management to better connect longer- and shorter-term transport operations activities and land use planning.
Finalists in the 2023 ITS Australia awards have been announced. Here’s the iMOVE projects included, & news of our sponsoring the R&D award category.
An interview with Ishra Baksh, the Executive Director of the Mobility as a Service Program at the Queensland Department of Transport and Main Roads.
iMOVE interview with Amit Trivedi, of the Department of Transport and Main Roads (Queensland), about his work with CAVs, his career, and more.
Demonstrating the use of historic crowdsourced data to create value in road management process by prototyping tools supporting road network management.
This project will identify functional safety risks of selected scenarios of the remote operation of Highly Automated Vehicles, and provide recommendations.
Attendees at the upcoming ITS Australia 2022 Summit event in Brisbane will be able to try Mobility as a Service, with the ODIN Pass.
Download the three final reports from iMOVE’s ‘Ipswich Connected Vehicle Pilot (ICVP) project.
Watch the video recording of our webinar discussing the final report of our ‘Innovative local transport: Community transport of the future’ project.
Download the final report from iMOVE’s ‘Innovative local transport: Community transport of the future’ project.
This project will investigate likely contributing factors for traffic crashes involving traffic signal posts in Queensland, and strategies to mitigate these collisions.
This PhD project proposes a methodology to estimate real-time queue lengths by using high-resolution detector data and signal timing data.
Register for our webinar ‘Delivering community transport that meets the diverse needs of our growing population’, and improve its service and accessibility.