Data-driven, agent-based modelling of multimodal micromobility systems

As cities pursue net-zero transport targets, micromobility options such as e-bikes and e-scooters offer strong potential to replace short car trips. However, their integration into existing transport systems remains limited due to safety concerns and the lack of robust modelling tools capable of capturing complex multimodal interactions.

You will focus on the development of advanced modelling frameworks for multimodal micromobility systems. You will develop a network-level model that integrates agent-based simulation with data-driven and artificial intelligence–based techniques to represent interactions between micromobility users, motor vehicles, and other road users. Particular emphasis will be placed on modelling user behaviour, perceived safety, and mode interactions under varying traffic, infrastructure, and policy conditions.

The research environment that you will be working in is rapidly growing into one of the strongest international transport research groups.  In the latest QS Shanghai rankings, UQ is now listed between 51-75 in the world in the field of “Transportation Science & Technology”. The expertise brought from the existing projects (ARC Discovery, ARC Linkage, ARC DECRA, iMOVE CRC) will provide the candidate with the opportunity to prosper in their research. 

The group benefits from access to extensive real-world mobility datasets and a broad range of traffic and transport analysis software through the Intelligent Transportation Systems Research Lab within the School. The group’s strong collaborative relationship with the transport industry and government agencies also provides HDR students with valuable opportunities to engage closely with practitioners to gain real-world insights and to participate in industry placements for professional development.

This project is supported by the Research project scholarship.

Learn more about the Research project scholarship.

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 background or knowledge of transport engineering and data science is highly desirable.

You must submit an expression of interest (EOI) by 28 February, 2026 28 February, 2026.

Before you apply

1. Check your eligibility for the Doctor of Philosophy (PhD).
2. Prepare your documentation.
3. If you have any questions about whether the project is suitable for your research interests, contact A/Prof Mehmet Yildirimoglu (m.yildirimoglu@uq.edu.au).

When you apply

To apply, submit an expression of interest (EOI) for the program. You don't need to apply separately for the project or scholarship. How to submit an EOI

In your EOI, complete the ‘Scholarship/Sponsorship’ section with the following details:

1. Are you applying for an advertised project: 'Yes'
2. Project: 'Research project scholarship'
3. Scholarship Code Listed in the Advertisement: MICROMOBILITY-YILDIRIMOGLU
4. Link to Scholarship Advertisement: https://study.uq.edu.au/study-options/phd-mphil-professional-doctorate/projects/data-driven-agent-based-modelling-multimodal-micromobility-systems

Submit an EOI