Traffic modelling and control with connected and autonomous vehicles

Project opportunity

This Earmarked Scholarship project is aligned with a recently awarded Category 1 research grant. It offers you the opportunity to work with leading researchers and contribute to large projects of national significance.

This project aims to develop an efficient traffic simulation model that enables data-informed traffic monitoring and automated model development, streamlining the fundamental transformation that next-generation cities will undergo in the coming decades. The project expects to generate new knowledge in traffic modelling and control by developing an innovative approach to inferring traffic conditions and traveller behaviour from diverse data feeds, and automating model calibration through an optimisation formulation. This research will have a significant impact on how the next-generation traffic networks will be designed and operated to exploit the full potential of smart cities initiatives and connected and autonomous vehicle (CAV) technologies.

Scholarship value

Supervisor

Dr Mehmet Yildirimoglu

School of Civil Engineering

Email: m.yildirimoglu@uq.edu.au

Preferred educational background

Your application will be assessed on a competitive basis.

We take into account your

• previous academic record
• publication record
• honours and awards
• employment history.

A working knowledge of traffic flow modelling, machine learning, data analytics, control theory, mathematical and statistical modelling, optimisation, or related topics would be of benefit to someone working on this project.

Latest commencement date

If you are the successful candidate, you must commence by Research Quarter 1, 2023. You should apply at least 3 months prior to the research quarter commencement date.

If you are an international applicant, you may need to apply much earlier for visa requirements.

How to apply

You apply for this project as part of your PhD program application.

View application process