Queue length estimation at signalised intersections
This PhD project proposes a methodology to estimate real-time queue lengths by using high-resolution detector data and signal timing data.
Optimising multimodal transport networks: Sharing road space
This research will focus on enhanced depiction of pedestrian and active mode interactions with vehicular traffic across a variety of road infrastructure scenarios.
Innovative road network pricing models
This PhD research aims to investigate new methods for managing urban congestion and reducing emissions through innovative transport pricing policies.
Empirical modelling of traffic states and route choice behaviour
In this PhD project data analytics on Bluetooth trajectories and traffic states will be applied to empirically estimate the assignment matrix for the network.
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.
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.
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.
How understanding disease spread can help traffic congestion
Could the need to track the coronavirus’ spread hold clues to non-health areas, such as traffic congestion? A new iMOVE project is testing the model.
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.
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.
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.
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.