Modelling interactions between human driving behaviour, information flow, and automation in mixed traffic flow

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.

Supervisor – Associate Professor Zuduo Zhengzuduo.zheng@uq.edu.au

This project aims to balance road safety and efficiency as conflicting goals of transport systems mixed with connected and automated vehicles (CAVs). This project is expected to generate fundamental knowledge on operational algorithms and analytics for CAVs and develop innovative tools for operating them. Expected outcomes include ground-breaking models capable of the co-estimation of efficiency and safety impacts of CAVs, and control strategies to safely and efficiently integrate CAVs into existing transport systems. This project will provide not only scientific breakthroughs in modelling safety, operation, and dynamics of traffic flow mixed with CAVs, but also efficient transport solutions that will significantly contribute to fully utilise the well-acknowledged benefits arising from CAVs, including safety benefits by reducing fatalities and injuries, mobility benefits by reducing congestion, and environment benefits by reducing greenhouse gas emissions. This should provide significant safety and efficiency benefits that currently cost about 1160 lives and 1.25 billion hours of congestion per year, and make Australia better prepared for the connected and automated vehicle era.

Preferred educational background

Applications will be judged on a competitive basis taking into account the applicant's previous academic record, publication record, honours and awards, and employment history.

A working knowledge of analytical skills and programming skills would be of benefit to someone working on this project.

The applicant will demonstrate academic achievement in the field(s) of traffic engineering, system modelling, operation, control, and optimisation and the potential for scholastic success.

A background or knowledge of mathematical modelling in developing traffic flow models is highly desirable.

*The successful candidate must commence by Research Quarter 1, 2022. You should apply at least 3 months prior to the research quarter commencement date. International applicants may need to apply much earlier for visa reasons.

Apply now