Liverpool Sustainable Urban Mobility Study
Download the “Liverpool Sustainable Urban Mobility Study” final report, with objectives, findings, next steps, and more.
Download the “Liverpool Sustainable Urban Mobility Study” final report, with objectives, findings, next steps, and more.
This study will look to understand the behavioural impact of Queensland’s 50 cent flat rate public transport fare trial.
Research to understand the impact, considerations, and benefits of implementing C-ITS, via demonstrations of technologies in various scenarios on NSW roads.
This project will uncover attitudes and actions that are most likely to effect tangible change towards a more sustainable, decarbonised transport system.
A wrap-up of “Promoting sustainable university travel choices” project. Includes a download of the full, final report.
An iMOVE project outcomes webinar, presenting findings from the iMOVE project “Promoting sustainable university travel choices”.
An overview of our completed project “Evaluation of the Wagga Wagga Active Travel Plan”, along with downloadable copies of the final reports.
This project designs, tests, and validates a pilot methodology for harvesting activity data of active road users – pedestrians and personal mobility devices.
This project will develop a centralised trip/parking generation database that can also facilitate the design, implementation, and validation of Green Travel Plans.
A showcase of winning video presentations on student projects from iMOVE’s 2023 intake of the Undergraduate Student Industry Program.
A wrap-up of the our completed project ‘MaaS blueprint design for regional towns and rural hinterlands’ along with all the final report documents.
This project seeks to consider the ideal MaaS framework to benefit users and providers in a sustainable way, acknowledging all parts of the MaaS ecosystem.
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 PhD project will look at algorithms to estimate the position/intention of pedestrians essential for the safe interaction between CAVs and pedestrians.
Research into customer-focused safe operation of CAVs in various urban environments to improve road user safety & inform NSW of road readiness for CAVs.
This project will provide comprehensive driving data and analysis tools for the design and testing of an autonomous vehicles software stack.