Projects

Automated Video Analysis of Three Complex Brisbane Intersections: A Safety Evaluation Using Advanced Video Recognition Technology

Grant:

$
368488

Duration:

Jan 2021 – Dec 2023.
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. While this project is led by the University of Queensland (UQ), STSR-Lab is leading the traffic safety component of this project, in which a new traffic safety model for connected and automated vehicles will be developed.

Proactively detecting motor vehicle crash black spots based on their underlying behavioral, engineering and spatial causes.

Grant:

$
171000

Duration:

Jan 2014 – Dec 2016.
Road traffic crashes are responsible for hundreds of lives and thousands of injuries on Australian roadways each year. A significant research opportunity exists to fundamentally rethink how the profession quantitatively identifies black spots on the transport network. This project aims to develop, test, and validate an evidence-based methodology to proactively detect motor vehicle crash black spots by decomposing (statistically) observed crashes at a site into their engineering, behavioural, and unobserved spatial components. The new methods combined provide novel insights and knowledge regarding transport network safety management.

Can we drive safer and faster? A unified theory for managing road transport systems with traditional, connected and automated vehicles.

Grant:

$
368488

Duration:

Jan 2021 – Dec 2023.
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. While this project is led by the University of Queensland (UQ), STSR-Lab is leading the traffic safety component of this project, in which a new traffic safety model for connected and automated vehicles will be developed.

Evaluation of the Targeted Road Safety Program 2005/2006 – 2011/2012 [LTS1819-005]

Grant:

$
268219

Duration:

Feb 2020 – Jun 2020.
The aim of this project was to evaluate the road safety performance of projects delivered as part of the Targeted Road Safety Program (TRSP) for the years 2005/2006 to 2011/2012. Specifically, this project aimed to evaluate the effectiveness of the TRSP 2005/2006-2011/2012 in reducing casualty crashes and, more specifically, fatal and serious injury (FSI) crashes. From the evaluation of safety effectiveness for the verified TRSP projects, it was concluded that the 357 TRSP projects under consideration for evaluation had an overall statistically significant positive impact on the average number of crash reductions per year, both in terms of total injury and FSI crash types. This project was led by CARRS-Q. STSR-Lab was responsible for developing the methodological frameworks for road safety program evaluation.

Our Collaborated Projects

Developing Safety Performance Functions (SPFs) for Queensland’s state-controlled road network

Grant:

$
120000

Duration:

July 2020 – Jun 2021.

Analysis of Heavy Vehicle Crashes on Queensland’s state-controlled road network

Grant:

$
60000

Duration:

July 2019 – Jan 2020.

Study of Travel Behaviour in Queensland Using Behavioural Economics

Grant:

$
90000

Duration:

September 2019 – Jun 2020.

Pilot study on the development of a practitioners toolkit for signal control performance evaluation and development

Grant:

$
50000

Duration:

September 2018 – April 2019.

A framework for incorporating Bluetooth trajectory information in OD optimisation

Grant:

$
40000

Duration:

September 2018 – April 2019.

Distracted driving research program

Grant:

$
86951

Duration:

May 2018 – Dec 2018.

Research services to develop an evaluation framework for the Mandatory Alcohol Interlock Program (MAIP)

Grant:

$
42322

Duration:

Mar 2016 – Jun 2016.

Evaluation of effectiveness of road safety billboards on driving behaviour [TMR4216]

Grant:

$
189473

Duration:

Jun 2016 – Jun 2017.

Independent evaluation of BCC left turn on red (LTOR) trial

Grant:

$
71147

Duration:

Aug 2016 – Dec 2016.

Improving taxi driver safety with a smartphone feedback system: A pilot study

Grant:

$
101000

Duration:

May 2014 – April 2015.

Prevalence and perception of following too closely in Queensland

Grant:

$
230593

Duration:

June 2014 – July 2016.

Distraction and attitudes towards safe pedestrian behavior

Grant:

$
90000

Duration:

July 2014 to December 2015.

Developing an outcome evaluation framework for the Queensland Alcohol Ignition Interlock program

Grant:

$
45000

Duration:

Mar 2014 – June 2014.

An In-Depth Examination of Crashes Involving Young Drivers

Grant:

$
91000

Duration:

Apr 2013- Apr 2014.