AI-powered road incident information and analysis
A wrap-up of the completed Streamlining and integrating incident data project, in which an AI-powered solution was developed to manage information about road transport incidents in real time.
Why is ADAS not fulfilling its potential to reduce road accidents?
This project aims to investigate ADAS to improve driver behaviour and deliver safer roads, lower claims costs and reduce e-waste.
Assessing Brisbane’s key suburban transport corridors
This project aims to develop a robust, data-driven framework to assess the performance of key suburban corridors in Brisbane.
Context-aware long-term prediction of incident hotspots
This project will use advanced AI approaches that fuse incident records with contextual data to predict long-term incident hotspots.
Transit signal priority to improve the flow of buses in Brisbane
This project will continue to develop and test a methodology to generate and evaluate strategies to improve the flow of buses in Brisbane.
Using C-ITS to make motorcyclists safer
Overview and final reports from our completed project, “Motorcyclist safety: Connected motorcycle pilot”. Background, recommendations, and more.
CAVs and the environment: A cleaner future?
Overview and final reports from our completed project, “Environmental impacts of Connected and Automated Vehicles”. Background, key findings and more.
Real-time decision support system for the Mitchell Smart Freeway
An overview of the completed “Mitchell Smart Freeway (Southbound): Live decision support” project, enabling MRWA to exhaustively test response plans.
Smart bumper sticker system to combat tailgating
Using sensors to detect unsafe following distances, the system aims to reduce tailgating by encouraging better behaviour through targeted messages.
The Trusted Transport Positioning System
Deployment and testing the utility of this new Local Positioning System (LPS) across multiple high-value transport use cases.
Optimising ambulance logistics for time-critical emergencies
This project will use transport and logistics models to anticipate & design next-gen delivery models for emergency medical services across Australian capital cities.
Data-driven bus impact evaluation tool for major road incidents
Development of an interactive bussing tool to accurately visualise disruptions, quantify customer impacts, and recommend actionable and right size responses.
Satellite imagery and AI to enhance dwelling yield forecasting
Use of AI-based deep learning analytics and high-resolution time-series satellite and aerial imagery to enhance current dwelling yield forecasting approaches.
Future dwelling capacity and yield forecasts for Perth
This project aims to better understand and predict realistic dwelling capacity in higher-density and infill areas across Perth, WA.
National Community Transport Pricing model
An overview of iMOVE’s completed project “National Variable Pricing Matrix: Sustainable community transport”, with background, key findings, and what’s next.
Accessibility guidelines for CAVs in public transport
Overview and final report of the completed project, “Connected and Automated Vehicle accessibility guide”. Also recommendations for additional R&D.