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Development of generalized crash prediction models

Study level

PhD

Master of Philosophy

Faculty/Lead unit

Science and Engineering Faculty

School of Civil Engineering and Built Environment

Topic status

We're looking for students to study this topic.

Supervisors

Associate Professor Md. Mazharul (Shimul) Haque
Position
Associate Professor
Division / Faculty
Science and Engineering Faculty
Professor Alexander Paz
Position
Professor and TMR Chair
Division / Faculty
Science and Engineering Faculty

Overview

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.

Research activities

A detailed comparison of existing SPFs and the models developed in this research will be performed to illustrate advantages and complexities as well as opportunities for implementation and future research.

Software with a user’s friendly graphical user interface will be developed and implemented to enable easy use of the algorithms and models created as part of this research project. The entire development will be documented including reports, journal papers and a software user’s manual.

Outcomes

Some of the outcomes we expect to achieve from this project include:

  • statistical and data mining models for the estimation of crashes and their severities in Queensland
  • details comparison of results and the models developed in this research
  • a software application with a graphical user interface (GUI) to enable the estimation of new SPFs and other models when need data is available
  • documentation of the software developed in this project
  • progress and final reports as well as journal papers.

Skills and experience

To be considered for this project, you should have a strong background in statistics.

Scholarships

You may be able to apply for a research scholarship in our annual scholarship round.

Annual scholarship round

Keywords

Contact

Contact the supervisor for more information.