New data sources for Adelaide’s transport demand modelling
The major findings from our Recalibrating Adelaide’s strategic transport model project, plus download a copy of the final report.
iMOVE video competition open now!
As part of iMOVE Conference 2022 we are holding a video competition to help showcase your work on an iMOVE project. How to enter, guidelines, and more.
Misbehaviour detection in C-ITS
This PhD project aims to propose a solution to identify and possibly prevent any type of early stage C-ITS misbehaviour in the network.
Real-time railway corridor perception
This project will develop a real-time and lightweight perception unit for use in the rail corridor, for remote/semi-autonomous completion of many routine tasks.
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.
Improving worker safety on the M1 Motorway
This project will seek to identify opportunities for innovative ways to use existing technologies and new ways of working to improve roadside worker safety.
Using crowdsourced data to improve road management
Demonstrating the use of historic crowdsourced data to create value in road management process by prototyping tools supporting road network management.
Safety risk evaluation of the remote operation of HAVs
This project will identify functional safety risks of selected scenarios of the remote operation of Highly Automated Vehicles, and provide recommendations.
Chintan Advani – iMOVE PhD student
Chintan Advani’s PhD topic is ‘Empirical modelling of traffic states and route choice behaviour’. This profile outlines his work, lessons learnt, and more.
Collation of shared spaces infrastructure in NSW
This project will provide transport practitioners with clarity regarding the definitions, objectives, design options & limitations of NSW shared space applications.
Clean fuels, lower emissions in red meat processing transport
This project will develop, test, and deliver a data-integrated visualisation and analytics platform for heavy transport emissions, efficiency, and sustainability.
Desire lines user behaviour: Initial research
The purpose of this project is to study the route choice behaviour of pedestrians and their attitudes towards desire lines around public transport interchanges.
Centre for Technology Infusion (La Trobe University)
Discover the ITS and smart mobility research capabilities of the Centre for Technology Infusion at La Trobe University, Overview, key staff, projects, and more.
Method to monitor the share of safe travel on high-speed roads
The objective of this project is to develop a sound methodology to measure share of high-speed travel on roads with a minimum safety rating of 3 stars.
Last mile van delivery planning and optimisation
Development of systems of classifying street networks & local terrain & delivery density, where a mix of delivery modes may improve on mono-modal delivery.
Older drivers: Advanced driving assistance technologies and AVs
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.