Data and simulation: Improving Perth’s road network performance
Download the three final reports from iMOVE’s ‘Improved network performance prediction through data-driven analytics and simulation’ project.
Improving roundabout modelling using drone video analytics
This project’s evidence-based approach will allow Main Roads Western Australia’s improvement of roundabout modelling practice and guidelines.
A model for estimating delays at traffic signals
This project will create a model for estimating delays at Perth’s traffic signals, which would inform project decisions and operational strategies.
Optimising multimodal transport networks: Sharing road space
This research will focus on enhanced depiction of pedestrian and active mode interactions with vehicular traffic across a variety of road infrastructure scenarios.
Advanced data analytics: Real-time demand calibration/prediction
This project aims to improve travel demand calibration and accuracy of 24 hour/ 7 days network simulation models for any hour of any day.
Transport predictive solution Stage 2: AI and real-time simulation
This project will offer a real-time decision support tool for traffic operations centres to predict network congestion, and evaluate the possible responses.
Future Transport and Mobility Environment project – Final report
Read about the findings from our ‘Conceptual architecture for future transport and mobility environment’ project, and download the final report.
Promoting community readiness and uptake of CAVs
This study will look at current Australian attitudes towards CAVs, and levers available for government to increase community acceptance and confidence.
Modelling perimeter controls: Detailed simulation
This project will build on simulations of gating, and use MFDs to demonstrate its benefits in enabling better control of the Perth road network.
Encouraging continuation of work from home post-pandemic
A project examining the benefits/drawbacks of working from home, and the impacts of different arrangements on productivity, transport, health, & wellbeing.
How soon is now? The convincing case for connected vehicles
The results of an eight-month study of the benefits of moving to more connected vehicle technology on Australian roads have been released.
Transport predictive solution Stage 1: Aimsun WA Live pilot
R&D of new algorithms to process raw data generated by the current RT4 radar, assigning an Austroads classification to all detected vehicles.
Macroscopic Fundamental Diagram: Measuring flow and density
Research into a network-wide approach to identify critical links and estimate the Macroscopic Fundamental Diagram using flow and density measurements.
Demand management/estimation in large-scale traffic networks
Development of demand management & estimation tools for large-scale traffic networks, incorporating macroscopic fundamental diagram-based traffic dynamics.
Enhanced vehicle detection at traffic signals and on smart freeways
A project looking at vehicle detection technologies for traffic signal control and smart freeway operations, using comparative analysis and field trials.
Accelerating the uptake of C-ITS technologies in Australia
Safety and congestion are two of the key challenges on our networks and there is strong potential for connectivity and C-ITS to help.