Tour-based mode choice model development
The overall objective of this project is to be able to provide more realistic and better travel modelling to inform and influence better policy and infrastructure decisions.
The overall objective of this project is to be able to provide more realistic and better travel modelling to inform and influence better policy and infrastructure decisions.
This research will provide insights to ensure the road freight transport network can continue to support the substantial freight task in North-West WA.
The outcome of the project is to have the capability to obtain relevant data analytics from fixed cameras & have the capability to run those analytics themselves.
Download the three final reports from iMOVE’s ‘Improved network performance prediction through data-driven analytics and simulation’ project.
This project’s evidence-based approach will allow Main Roads Western Australia’s improvement of roundabout modelling practice and guidelines.
This project will create a model for estimating delays at Perth’s traffic signals, which would inform project decisions and operational strategies.
This project investigates the use of an integrated package of IoT, computer vision and machine learning to support smart bridge health monitoring and prediction.
This project will offer a real-time decision support tool for traffic operations centres to predict network congestion, and evaluate the possible responses.
Watch the video recording of our ‘Progress towards more efficient supply chains’ webinar, plus access project reports and speakers’ slide decks.
This project will build on simulations of gating, and use MFDs to demonstrate its benefits in enabling better control of the Perth road network.
Project to build new knowledge and develop approaches to perpetuate and mainstream some of the more positive behaviours and outcomes of working from home.
R&D of new algorithms to process raw data generated by the current RT4 radar, assigning an Austroads classification to all detected vehicles.
This project’s aim is to improve the households & business land use activity inputs to transport modelling provided by a spatial econometric land use model.
A project looking at vehicle detection technologies for traffic signal control and smart freeway operations, using comparative analysis and field trials.
A project to adapt key existing planning tools, guidelines and frameworks to account for the uncertainty of changing trends and emerging technologies.
Nicole Lockwood’s plenary at the 2019 ATRF Conference, focused on challenges and opportunities for Australia’s freight industry, and the importance of data.