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Student topics

Explore topics that we're looking for students to research, and discover the fields that our students are currently working on.

Within each School or discipline, you can find topics at your study level: PhD, Masters, Honours or the Vacation Research Experience Scheme (VRES).

7 matching student topics

Displaying 1 - 7 of 7 matching student topics

Intelligent transport systems

With the advancement in technology, new sources of transportation data (including traffic and transit, among others) have emerged which can potentially facilitate and even revolutionise transport modelling and simulation.My research team focuses on various aspects of the exploitation of emerging data for network planning, operations, management and control. This includes:New insights in travel behaviour modelling, traffic state estimation and predictionTravel patterns and multimodal travel behaviourTransit network monitoring, modelling or controlApplication of data from connected and autonomous vehicleData driven operation of …

Lead unit
School of Civil Engineering and Built Environment
Disciplines
Civil engineering
Computer human interaction
Data science
Information security
Vision and signal processing
Applied and computational mathematics
Statistics and operations research
Study levels
PhD
Master of Philosophy
Honours
Vacation research experience scheme

Enhancing discrete choice models using insights from behavioural economics and psychology

Behavioural economics studies the impact of psychological factors on economic decisions and how these decisions deviate from those implied by classical economic theory. It merges the fields of economics and psychology to provide a better understanding of choice behaviour.When it comes to transportation individuals face long-term choices, such as car ownership and residential/work locations, and short-term choices, such as destination and departure time.Insights from behavioural economics can be applied to these choices to gain a better understanding of the conditions …

Lead unit
School of Civil Engineering and Built Environment
Disciplines
Civil engineering
Data science
Applied and computational mathematics
Statistics and operations research
Study levels
PhD
Master of Philosophy

Development of generalized crash prediction models

This project will develop both Safety Performance Functions (SPFs) and generalized crash estimation and severity models for Queensland.The development will be guided by Queensland Department of Transport and Main Roads (TMR)’s need for innovation and the exploration or emerging technologies and techniques.This project is expected to provide the foundation for future research that over time will provide a complete and comprehensive approach for traffic safety management using state-of-the-art modelling and analysis techniques. …

Lead unit
School of Civil Engineering and Built Environment
Disciplines
Civil engineering
Data science
Applied and computational mathematics
Statistics and operations research
Study levels
PhD
Master of Philosophy

Relationship between speed, traffic volumes and road geometry on heavy vehicle crash rates

The overall objective of this research, in conjunction with previous research undertaken by the Department of Transport and Main Roads (TMR), is to determine how the type, mass and length of heavy vehicles affects the type, severity and rate of crashes.The objective of this specific piece of research is to determine how parameters such as speed limits, traffic volumes and road infrastructure affects the type, severity and numbers of heavy vehicles crashes.

Lead unit
School of Civil Engineering and Built Environment
Disciplines
Civil engineering
Data science
Applied and computational mathematics
Statistics and operations research
Study levels
PhD
Master of Philosophy

Aggregation, analyses and forecasting of network traffic conditions

This project will develop algorithms and software to process traffic data and generate comprehensive and systematic summaries of network conditions.The objectives of this project include:integrating a variety of data sources from trafficexpanding existing data-processing algorithms to generate summaries of the dataprocessing the integrated data with softwareevaluating and validating the forecasting resultsdocumenting the entire development process and softwareproposing future research projects to improve and expand the results from this project. …

Lead unit
School of Civil Engineering and Built Environment
Disciplines
Civil engineering
Data science
Applied and computational mathematics
Statistics and operations research
Study levels
PhD
Master of Philosophy

Opportunities and challenges faced in intelligent transport systems

With the advancement in technology, new sources of transportation data, including traffic and transit data, have emerged which can potentially facilitate and even revolutionise transport modelling and simulation.My research team focuses on various aspects of the exploitation of emerging data for network planning, operations, management and control. This includes:new insights in travel behaviour modelling, traffic state estimation and predictiontransit network monitoring, modelling or controlapplying data from connected and autonomous vehicledata-driven operation of transportation systems with artificial intelligence and machine learning …

Lead unit
School of Civil Engineering and Built Environment
Disciplines
Civil engineering
Computer human interaction
Data science
Information science
Applied and computational mathematics
Statistics and operations research
Study levels
PhD
Master of Philosophy
Honours
Vacation research experience scheme

Bus rapid transit operation with connected autonomous vehicles

Methodologies exist to evaluate the capacity and quality of service of Bus Rapid Transit (BRT) facilities. However these methodologies are based on manual control of buses including line-of-site operation. This project will improve upon existing methodologies to be able to evaluate capacity and quality of service of BRT facilities with buses operating as connected autonomous vehicles.

Lead unit
School of Civil Engineering and Built Environment
Study levels
PhD
Master of Philosophy

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