Secure Data Provenance in the Internet of Vehicles
This work will develop a novel secure data provenance scheme for the Internet of Vehicles, ensuring data security, originality, & confidence in decision-making.
This work will develop a novel secure data provenance scheme for the Internet of Vehicles, ensuring data security, originality, & confidence in decision-making.
This project identifies key segments of the heavy vehicle fleet likely to transition to hydrogen fuel technology and provide a roadmap for the NSW government.
Register for our 11 October 2022 webinar, ‘Understanding the community’s desire to interact with Connected and Automated Vehicles’.
The major findings from our Recalibrating Adelaide’s strategic transport model project, plus download a copy of the final report.
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.
This PhD project aims to propose a solution to identify and possibly prevent any type of early stage C-ITS misbehaviour in the network.
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.
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.
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.
Chintan Advani’s PhD topic is ‘Empirical modelling of traffic states and route choice behaviour’. This profile outlines his work, lessons learnt, and more.
This project will provide transport practitioners with clarity regarding the definitions, objectives, design options & limitations of NSW shared space applications.
This project will develop, test, and deliver a data-integrated visualisation and analytics platform for heavy transport emissions, efficiency, and sustainability.
The purpose of this project is to study the route choice behaviour of pedestrians and their attitudes towards desire lines around public transport interchanges.
Discover the ITS and smart mobility research capabilities of the Centre for Technology Infusion at La Trobe University, Overview, key staff, projects, and more.