Real-time data for better informed transport and parking choices
This project will use the Chatswood CBD as a living laboratory using data to improve visitor experience, with an initial focus on parking.
This project will use the Chatswood CBD as a living laboratory using data to improve visitor experience, with an initial focus on parking.
Research project to develop empirical understanding of the skills gaps, shortages, and the necessary training needs in transport/mobility to inform policy.
From lessons learnt in the FLEX autonomous shuttle trial at the Tonsley Innovation District, this project will deliver new, innovative use cases for FLEX.
The build of standardised analysis methodology to evaluate the safety benefits of C-ITS, guiding transport agencies in regard to supporting its development.
R&D of new algorithms to process raw data generated by the current RT4 radar, assigning an Austroads classification to all detected vehicles.
This project will carry out a literature review on high definition map creation, ahead of further work in this area to facilitate automated driving.
What will be required for strategic transport system models used by State governments under various Working from Home futures?
This project’s aim is to improve the households & business land use activity inputs to transport modelling provided by a spatial econometric land use model.
Development of an improved and reliable methodology for forecasting demand to establishing loading dock requirements in new developments.
An update on our project, ‘MaaS business models: Lessons for operators and regulators’, along with a downloadable report.
A project looking at vehicle detection technologies for traffic signal control and smart freeway operations, using comparative analysis and field trials.
Safety and congestion are two of the key challenges on our networks and there is strong potential for connectivity and C-ITS to help.
This proof-of-concept project aims to develop a Vehicle to Bicycle (V2B) communication system to reduce collisions and enhance driver awareness of cyclists.
A PhD research program investigating physical interactions between Connected and Automated Vehicles and Vulnerable Road Users in order to assess safety.
The Data Aggregation Pilot Project is an investigation of how industry freight data can be harnessed to inform infrastructure planning & policy priorities.
A feasibility study looking at the possibility of diverting some freight tasks from the road network to utilising spare capacity on public transport.