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

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

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.

Research activities

As part of the research project, you be involved in:

  • analysing crash data supplied by TMR
  • undertake a literature review
  • develop predictive equations for heavy vehicle crashes per year
  • prepare a report on the findings.

Outcomes

As a result of this project, we expect the following outcomes:

  • predictive models for heavy vehicle crash rates (crashes per year).
  • comparison of the crash rates for heavy vehicle types
  • recommendations as to the safest heavy vehicles to transport freight in urban areas, rural highways and motorways.

Skills and experience

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

Keywords

Contact

Contact the supervisor for more information.