A critical review & evaluation of immersive reality using in training & capability development for first responders & multi-agencies in traffic incident management.
This work will develop a novel secure data provenance scheme for the Internet of Vehicles, ensuring data security, originality, & confidence in decision-making.
This PhD project aims to propose a solution to identify and possibly prevent any type of early stage C-ITS misbehaviour in the network.
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.
Download ‘Barriers to women entering & progressing in transport roles’. Find out how all levels of government can foster and support women in the sector.
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.
This project will seek to identify opportunities for innovative ways to use existing technologies and new ways of working to improve roadside worker safety.
This project will identify the barriers to women entering & progressing within the transport sector workforce, & audit/evaluate government initiatives in this area.
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.
How iMOVE’s processes and access to capability delivered a complex stakeholder consultation project in just three months for the Federal Government.
This project will provide guidance on best practice for the procurement and safe use of incident response vehicles and truck-mounted attenuators.
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 aims to explore how berry supply chain decision-makers may use real-time data and make in-transit interventions to preserve quality.
Development of simulation/optimisation framework to generate the trade-offs derived from the interaction of the optimal number and location of loading bays.
iMOVE’s Freight Data Requirements Study is a blueprint for the ways technology can increase efficiency in Australia’s freight and logistics sector.
Identification & articulation of data requirements in the freight & supply chain sector, along with investigation of openness of companies to sharing data.