Accelerated and intelligent RAP data collection
Use of AI and machine learning techniques in collecting AusRAP data has potential to reduce costs and increase the frequency and accuracy of its information.
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.
Use of AI and machine learning techniques in collecting AusRAP data has potential to reduce costs and increase the frequency and accuracy of its information.
This research project will develop and trial end-to-end monitoring and traceability of freight, using medicinal cannabis as its use case.
This research will undertake a comprehensive systematic literature review of international best practice in digitisation in the transport & freight sectors.
A downloadable final report for our ‘Managing transport system investment risk’ project, along with the main findings of that report.
This PhD project investigates the use of big data and advanced mathematical techniques to better model the traffic flow at intersections.
The ODIN PASS MaaS trial will launch in mid-2021 at University of Queensland St Lucia for staff and students over a 12-month initial deployment period.
This project will analyse potential use cases of aerial drone use at the warehouse/delivery interface, and their potential in the 4PL freight context.
This project will investigate the systemic issues, opportunities, and barriers for overcoming transport disadvantage and enhancing community transport.
A downloadable final report for our Co-modality: Making use of public transport to carry freight, with partners Transport for NSW and University of Sydney.
A downloadable progress report on our Evaluating loading dock capacity in new developments project.
This project will provide guidance on best practice for the procurement and safe use of incident response vehicles and truck-mounted attenuators.
This PhD project will develop an end-to-end food shipping quality monitoring and assurance system based on a wide area IoT network architecture.
Assessment of emerging sustainable urban mobility opportunities for Liverpool NSW, underpinned by the opening of the new Nancy-Bird Walton Airport.
A project investigating whether smart bike lights will not only enhance visibility, but also provide new insight into road safety issues for cyclists.
This PhD project will design, implement, & evaluate a novel distributed publish-process-subscribe framework for supply chains using blockchain technology.
This study will look at current Australian attitudes towards CAVs, and levers available for government to increase community acceptance and confidence.