The Trusted Transport Positioning System
Deployment and testing the utility of this new Local Positioning System (LPS) across multiple high-value transport use cases.
Deployment and testing the utility of this new Local Positioning System (LPS) across multiple high-value transport use cases.
This project will look to quantify the benefit of the Australian adoption of eCall, a life-saving technology aimed at reducing emergency response times, enabling autonomous contact with emergency services.
Overview and final report of the completed project, “Large Animal Activated Roadside Monitoring and Alert System”. Also recommendations for additional research.
This webinar looked at results and the (safer) road ahead for the Large Animal Activated Roadside Monitoring and Alert System.
Establishment of operational perspectives on transport equity and reduce car dependency in Western Sydney plus recommend how to address these issues.
This project focused on utilising crowd-sourced data for generating road safety insights, aimed to understand the capabilities of such data by developing two prototype applications for road infrastructure managers.
This project will work with international experts to assess the best practice for safe deployment, use & storage of batteries in electric vehicles & micromobility.
The project developed a tailored roadmap for the governance of truck movement data for the purposes of informing policy, planning and network operations.
A wrap-up of the “Improved Sensing for Signalised Intersections”, the technologies investigated, and the expected project impacts.
A wrap-up of the “Scenario developments for forecasting urban freight shifts” project, including downloadable copies of its final reports.
Findings, outcomes, and impacts of our’ Train horns: Broader social effects and pedestrian simulations’ project, and includes the final report as a download.
This project aims to address congestion and greenhouse gas emissions issues by delivering a real-world MaaS product selected sites on the Gold Coast.
This project will investigate/develop a data-driven assessment tool for arterial networks, using established/emerging technologies and advanced data analytics.
Amir Hosein’s iMOVE PhD project is ‘Decentralised data sharing platform for supply chains’. This profile backgrounds his work, lessons learnt, and more.
The intent of this project is to better understand active travel demand – people’s choices to use active travel, trip purposes, and their route choices.
This project will develop a Simulink model of the Stralis A36-HE Bonanza aircraft and hydrogen electric propulsion system (HEPS).