Non-invasive vehicle classification solution using tracking radar
R&D of new algorithms to process raw data generated by the current RT4 radar, assigning an Austroads classification to all detected vehicles.
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.
Modelling traffic disruption impact: Deep Learning & simulation
This PhD looks at prediction of traffic disruptions in cities using AI and synergising traffic simulation modelling to help traffic authorities respond.
Fixed-wing drones and small package delivery
This project investigates a novel method of using a long tether and a medium fixed-wing drone to deliver multiple packages at various weights.
HD maps for automated driving – literature review
This project will carry out a literature review on high definition map creation, ahead of further work in this area to facilitate automated driving.
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.
Working from Home: Revising metro strategic transport models
What will be required for strategic transport system models used by State governments under various Working from Home futures?
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.
Autonomous mobile lockers for city logistics
A study in the introduction of a new pickup and delivery technology, Autonomous Mobile Lockers, into an existing city logistics network.
Vehicular network architecture using the 5G standard
This PhD research concentrates on the development of an ad hoc vehicular network architecture using the PC5 interface of the LTE standard.
Transformative commercial urban delivery solutions
This research aims to identify and evaluate new solutions for commercial urban deliveries to meet the demand of last-mile and surging e-commerce markets.
Econometrics, land use inputs, and strategic transport models
This project’s aim is to improve the households & business land use activity inputs to transport modelling provided by a spatial econometric land use model.
Risks in blockchain-integrated container shipping systems
The aim of the project is to investigate the situation of Container Shipping Operational Risk upon the application of blockchain technology in the industry.
Macroscopic Fundamental Diagram: Measuring flow and density
Research into a network-wide approach to identify critical links and estimate the Macroscopic Fundamental Diagram using flow and density measurements.
Demand management/estimation in large-scale traffic networks
Development of demand management & estimation tools for large-scale traffic networks, incorporating macroscopic fundamental diagram-based traffic dynamics.
Multimodal operation of smart intersections
A PhD research project aiming to build a model/platform using real-time feeds of all mode movements from smart intersections to optimise signal control.
Evaluating loading dock capacity in new developments
Development of an improved and reliable methodology for forecasting demand to establishing loading dock requirements in new developments.