PhD scholarship: Real-time Analytics on Urban Trajectory Data for Road Traffic Management


Enrolment status New students
Student type Domestic students, International students
Level of study Higher Degree by Research
Study area Engineering and Computing
HDR funding type Living stipend scholarship, Top-up Scholarship
Scholarship value $28,092 per annum tax-free (2020 rate), indexed annually. A top-up of $5,000 per annum will also be offered.
Scholarship duration Three years with the possibility of two 6-month extensions in approved circumstances.
Opening date 22 October 2020
Closing date 22 November 2020


This PhD project is part of an Australian Research Council (ARC) Linkage project titled “Real-time Analytics on Urban Trajectory Data for Road Traffic Management”. The overall aim of this ARC Linkage project is to develop real-time analytics and data management capabilities that leverage large-scale urban trajectory data to provide road operators with real-time insights into population movements and enable data-driven, customer-centric network operations. Current traffic management practices rely heavily on aggregate vehicle count data from fixed road sensors, which have limitations in accurately measuring traffic demand and network congestion propagation. We seek to develop innovative technologies to use a wide variety of data sources, especially massive trajectories of vehicles moving across the network, to better understand people's travel demands and road usage patterns and thus better manage the transport system.

This PhD project will focus on one of the following objectives:

  1. to develop methods to reconstruct complete, semantically rich trajectories of road users by combining raw trajectories from multiple data sources,
  2. to develop methods to estimate and predict dynamic movements of road users in real-time using multi-source trajectory data, and
  3. to develop network-wide traffic management strategies that leverage real-time population movement insights.

The successful applicant will work as a team with researchers from UQ Transport Engineering Group within the School of Civil Engineering and UQ Data Science Research Group within the School of Information Technology and Electrical Engineering, as well as industry partners from Queensland Department of Transport and Main Roads (TMR) and Transmax Pty Ltd.

The successful applicant will have flexibility to enroll through either the School of Civil Engineering or the School of Information Technology and Electrical Engineering.


To be eligible, you must meet the entry requirements for a higher degree by research.

Applications are closed.

Before you get started

If this scholarship has rules, download and read them.

How to apply

To apply for admission and scholarship, follow this link. There is no separate application for scholarship because you will have the opportunity to request scholarship consideration on the application for admission.

Before submitting an application you should:

When you apply, please ensure that under the scholarships and collaborative study section you:

  1. Select ‘My higher degree is not collaborative’
  2. Select 'I am applying for, or have been awarded a scholarship or sponsorship'.
  3. Select ‘Other’, then ‘Research Project Scholarship’ and type in ‘TRAFFIC’ in the 'Name of scholarship' field.

See an example of what you have to do

Learn more about applying for a higher degree by research at UQ

Selection criteria

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.

The applicant will demonstrate academic achievement in the field/s of transportation engineering, computer science, applied mathematics and statistics or a closely related area and the potential for scholastic success.

A background or knowledge of machine learning, data science, and programming is highly desirable.

Applications are closed.


Dr Jiwon Kim
Applications are closed.

Terms and conditions

Read the policy on UQ Research Scholarships.

A domestic part-time student with carer’s responsibilities, a medical condition or a disability, which prevents them from studying full time may be eligible for scholarship consideration, on a case by case basis.

Applications are closed.