Working near traffic: Work zone end of queue study
This project will develop an evidence base to understand which traffic control measures are most effective in reducing injuries at end of queue road worksites.
This project will develop an evidence base to understand which traffic control measures are most effective in reducing injuries at end of queue road worksites.
This project will seek to identify opportunities for innovative ways to use existing technologies and new ways of working to improve roadside worker safety.
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.
Research into customer-focused safe operation of CAVs in various urban environments to improve road user safety & inform NSW of road readiness for CAVs.
Download a copy of our project final report, ‘Exploring balance between movement and place in designing safe and successful places’.
The focus of this PhD project is the security technologies that would enable authorities to govern, protect, and regulate SAVs access to the public road network.
An investigation of integrating cycling facilities into urban/suburban environments, addressing the concerns of (potential) cyclists worried about safety.
This project will provide comprehensive driving data and analysis tools for the design and testing of an autonomous vehicles software stack.
Design of a blueprint for future MaaS initiatives in a rural/regional setting, drawing on an iMOVE trial, international evidence, and new data.
Download the final report from iMOVE’s ‘Innovative local transport: Community transport of the future’ project.
This project will provide a comprehensive review of currently available Australian anthropometric data and its applicability to the Australian Transport industry.
This project explores new/emerging technologies offering a true frictionless ticketing experience across multiple modes for disabled public transport customers.
The research project will provide evidence of the short to medium-term changes and benefits of the Active Travel Plan, as well as enable longer-term benefits.
This project will provide robust recommendations for suggested initiatives to influence travel behaviours and demand in a university environment.
Use of AI and machine learning techniques in collecting AusRAP data has potential to reduce costs and increase the frequency and accuracy of its information.