Secure Data Provenance in the Internet of Vehicles
This work will develop a novel secure data provenance scheme for the Internet of Vehicles, ensuring data security, originality, & confidence in decision-making.
Misbehaviour detection in C-ITS
This PhD project aims to propose a solution to identify and possibly prevent any type of early stage C-ITS misbehaviour in the network.
Understanding the cyclist experience to improve their road safety
Progress on the Light Insight Trial, in which smart bike lights provide data from cyclists’ journeys to proving insights into improving safety and informing policy.
Barriers to women entering and progressing in transport roles
Download ‘Barriers to women entering & progressing in transport roles’. Find out how all levels of government can foster and support women in the sector.
Working near traffic: Work zone end of queue study
This project will develop an evidence base to understand which traffic control measures are most effective in reducing injuries at end of queue road worksites.
Improving worker safety on the M1 Motorway
This project will seek to identify opportunities for innovative ways to use existing technologies and new ways of working to improve roadside worker safety.
Government initiatives to support women in the transport sector
This project will identify the barriers to women entering & progressing within the transport sector workforce, & audit/evaluate government initiatives in this area.
Evaluating urban freight impacts via sustainable alternatives
This PhD project proposes an urban distribution model based on the combination of a logistics platform and a network of Mobile Depots that use light vehicles.
Incident response vehicles and truck-mounted attenuators
This project will provide guidance on best practice for the procurement and safe use of incident response vehicles and truck-mounted attenuators.
Light Insight Trial (LiT): Smart bike lights data and road safety
A project investigating whether smart bike lights will not only enhance visibility, but also provide new insight into road safety issues for cyclists.
Using real-time data to preserve Aussie berries in transit
This PhD project aims to explore how berry supply chain decision-makers may use real-time data and make in-transit interventions to preserve quality.
Urban freight: Optimising loading/unloading bays
Development of simulation/optimisation framework to generate the trade-offs derived from the interaction of the optimal number and location of loading bays.
National Freight Data Hub to increase efficiency and productivity
iMOVE’s Freight Data Requirements Study is a blueprint for the ways technology can increase efficiency in Australia’s freight and logistics sector.
Freight data requirements study
Identification & articulation of data requirements in the freight & supply chain sector, along with investigation of openness of companies to sharing data.
iMOVE 2018 Undergraduate Student Industry Program awards
iMOVE has marked the end of its first intake of Undergraduate Student Industry Program students with an awards dinner, with prizes awarded to students for their end-of-year video presentations.
Health by Stealth partnership: better living through active transport
Australia is playing catch-up in the area of active transport — walking, cycling, public transport — but a new study called Health by Stealth is looking to give the country a boost.