Next-generation integrated traffic control
PhD research, developing a new algorithm for integrated traffic network control, with ramp metering, variable speed limit and arterial intersection control.
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.
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.
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.
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.
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.
Optimising signal control in CAV and VRU mixed environments
A research project exploring how traffic controls can be optimised to accommodate both legacy and autonomous vehicles, plus vulnerable road users.
VRU and CAV interactions
A PhD research program investigating physical interactions between Connected and Automated Vehicles and Vulnerable Road Users in order to assess safety.
Cyber security for connected vehicles and vehicular networks
Addressing the critical need for new security schemes to be designed and implemented to protect our connected cars and transport systems.