MaaS and PT integration: Focus on vulnerable travellers
This PhD project will focus on smart adoption of MaaS with the purpose of providing vulnerable travellers with equitable mobility services.
Seafarer training for autonomous shipping: Needs & challenges
This project will look at views and perceptions of seafarers’ challenges and training requirements as a critical driver of ITS in the autonomous shipping domain.
Co-operative eco-driving system for mixed traffic on urban roads
The objective of this PhD study is to develop an eco-driving system for a mixed traffic consisting of CAVs and human-driven vehicles (HVs) on urban roads.
Electric vehicles: Supporting uptake, investigating smart charging
This PhD project looks to investigate how EV owners use and charge their vehicles, and more broadly, Australian consumers’ willingness to purchase an EV.
Estimating freight origin-destination activity using video and data
This PhD project involves integration of multiple data sources for estimating freight origin-destination (OD) activities using video and traffic counts.
Using a data-driven approach to improve intersection modelling
This PhD project investigates the use of big data and advanced mathematical techniques to better model the traffic flow at intersections.
An empirical analysis of drone ecosystems in 4PL logistics
This project will analyse potential use cases of aerial drone use at the warehouse/delivery interface, and their potential in the 4PL freight context.
Decentralised data sharing platform for supply chains
This PhD project will design, implement, & evaluate a novel distributed publish-process-subscribe framework for supply chains using blockchain technology.
Pedestrian and cyclist interaction with autonomous vehicles
This project will investigate AV/pedestrian interaction and AV/cyclist interaction to help introduce AVs to Australian roads safely and effectively.
Developing empirical customer-centric public transport
This PhD research project aims to assist public transport service providers improve quality, operational efficiency, and farebox recovery ratios.
Strengthening cybersecurity in vehicular networks
This project will develop new highly efficient cybersecurity schemes to reverse engineer vehicular network communications.
Digitalisation and implications on workforce skills development
This project will examine if and how CAV modes and services can be incorporated into the Disability Standards for Accessible Public Transport 2002.
Modelling traffic congestion as a contagion
Does the formation of traffic congestion resemble the spread of a virus? This PhD project with the University of NSW is investigating.
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.