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.
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.
This project builds upon the earlier iMOVE project, Mapping WA’s circular economy Stage 1: Achieving Net Zero, this time focusing on transport infrastructure.
This R&D project will develop a pathway towards on-road trials and commercial deployment of AV road freight in Western Australia.
Outcomes from the trial of a Level 4 capable autonomous vehicle on public streets in and around the University of Sydney.
An overview of the completed “Working from home: Changes in transport demand in Perth” project, including downloadable final reports.
Modelling current and projected thermal conditions across Perth’s paths to facilitate people to use active transport as part of their everyday journeys.
This project will provide evidence to support better decision-making and assessment in planning and designing Transit-Oriented Developments in Perth.
Objectives, findings, expected project impacts and a downloadable final report for the “Defining transport disadvantage in Perth” project.
This project leverages drone video analytics data collected at over 50 roundabouts in Perth to conduct comprehensive safety analyses.
This research project leverages cutting-edge video analytics technology as a means of monitoring use of Perth’s active transport network.
A wrap-up of the “Modelling perimeter controls: Detailed simulation project”, including conclusions and directions for further research, and a copy of the final report.
This project will form a strategy to transition WA school buses to zero emissions vehicles, supporting decisions to enable transition starting mid to late 2020s.
The wrap-up and final report for our Electric school buses for Western Australia: Feasibility study.
A profile of iMOVE PhD student Shihan Xu and her project, ‘Estimating freight origin-destination activity using video and data’.
A profile of iMOVE PhD student Samson Ting and his project, ‘Using a data-driven approach to improve intersection modelling’.