Integrated land use and transport modelling
Work toward a proposed framework and subsequent model to better utilise and account for changes in the future transport network capacity.
Overviews, progress reports, and general info for research and development projects carried out by iMOVE and its partners, in the areas of: Intelligent Transport Systems, Freight and Logistics, and Personal and Public Mobility.
Work toward a proposed framework and subsequent model to better utilise and account for changes in the future transport network capacity.
Identification & articulation of data requirements in the freight & supply chain sector, along with investigation of openness of companies to sharing data.
Development of a general framework for cooperative data fusion, integrating data coming from vehicles and infrastructure.
Project involves a comprehensive review of national and international research on travel demand mode, with a view to informing future research agenda.
A project involving a comprehensive review of national and international research on travel demand modelling, with a view to informing future research.
Improvement of Brisbane’s parking management through analysis, prediction, and data sharing.
Development of an algorithm to provide priority at traffic lights to public transport, also with potential to reduce stop time for private vehicles.
Preparation for the arrival of Connected and Automated Vehicles on Australian roads, and their safety, mobility and environmental benefits.
Assessment of how successful current road infrastructure is in allowing the safe and reliable use of automated vehicles, and how to fix shortcomings.
The report from IMOVE’s first completed project, the MaaS and On-Demand Transport Consumer Research & Report, has been published.
Project to build an autonomous vehicle based on an everyday car, for deeper insight into their impact on future mobility and insurance business models.
This iMOVE research project involves the collection and analysis of detailed data to implement and validate advanced algorithms, to support the early identification of the onset of congestion and identify how best to mitigate its potential impact.
Security Credential Management System (SCMS) project, as part of the 500-vehicle, on-road field operational test of Cooperative Intelligent Transport Systems safety applications.
This project will survey Australian transport users to better understand their appreciation of, and interest in, MaaS and on-demand transport services.
This project aims to improve the ability of road authorities to predict network performance in the short-term using data-driven analytics and to estimate the impact of automated vehicles (AVs) in longer-term predictions.
Related research streams to support the Westport Taskforce in planning for the Outer Harbour at Kwinana and the associated road and rail links as part of the long term integrated transport plan for Western Australia.