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.

This project will use advanced AI approaches that fuse incident records with contextual data to predict long-term incident hotspots.
This project will continue to develop and test a methodology to generate and evaluate strategies to improve the flow of buses in Brisbane.
Overview and final reports from our completed project, “Motorcyclist safety: Connected motorcycle pilot”. Background, recommendations, and more.
Overview and final reports from our completed project, “Environmental impacts of Connected and Automated Vehicles”. Background, key findings and more.
An overview of the completed “Mitchell Smart Freeway (Southbound): Live decision support” project, enabling MRWA to exhaustively test response plans.
Using sensors to detect unsafe following distances, the system aims to reduce tailgating by encouraging better behaviour through targeted messages.
Deployment and testing the utility of this new Local Positioning System (LPS) across multiple high-value transport use cases.
This project will use transport and logistics models to anticipate & design next-gen delivery models for emergency medical services across Australian capital cities.
Development of an interactive bussing tool to accurately visualise disruptions, quantify customer impacts, and recommend actionable and right size responses.
Use of AI-based deep learning analytics and high-resolution time-series satellite and aerial imagery to enhance current dwelling yield forecasting approaches.
This project aims to better understand and predict realistic dwelling capacity in higher-density and infill areas across Perth, WA.
An overview of iMOVE’s completed project “National Variable Pricing Matrix: Sustainable community transport”, with background, key findings, and what’s next.
Overview and final report of the completed project, “Connected and Automated Vehicle accessibility guide”. Also recommendations for additional R&D.
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.
An evaluation of C-ITS for the provision of location services in Global Navigation Satellite System (GNSS)-denied tunnel environments.