Development of a general framework for cooperative data fusion, integrating data coming from vehicles and infrastructure.
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.
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.
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.