Can we drive safer and faster? A unified theory for managing road transport systems with traditional, connected and automated vehicles Funding: $368,488 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 […]
Read MoreAutomated Video Analysis of Three Complex Brisbane Intersections: A Safety Evaluation Using Advanced Video Recognition Technology Funding: Funded ($99,346) by Brisbane City Council, Queensland, Australia Duration: Aug 2016 – July 2017. This project assesses the suitability of advanced video recognition technology in assessing road safety of transport facilities. As such, the objectives of this project […]
Read MoreProactively detecting motor vehicle crash black spots based on their underlying behavioural, engineering and spatial causes Funding: ARC Discovery Project (DP140101653), Funding ($171,000) 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 […]
Read MoreAutomated Video Data Processing Facilities | Automated Video Data Processing Traffic conflicts identified through automated video processing are often linked with crashes using methods to establish a correlation between non-crash and crashed based approaches. Raw video footage obtained from the intersections is processed using an Artificial Intelligence (AI)-based video analysis platform developed at the Queensland […]
Read MoreDriving Simulator Facilities | Driving Simulator CARRS-Q Advanced Driving Simulator is located at the Queensland University of Technology (QUT). This high fidelity simulator consisted of a complete car with working controls and instruments surrounded by three front-view projectors providing 180-degree high resolution field view to drivers. Wing mirrors and the rear view mirror were replaced by LCD […]
Read MoreSunny Singh Current MPhil Student
Read MoreDr. Yasir Ali Former Higher Degree Research Student Brief Detail: This dissertation developed a Complete LAne-Changing Decision (CLACD) modelling framework that explains both the mandatory and discretionary lane-changing behaviours, incorporates both the successful and failed lane-changing attempts, and describes lane-changing behaviours in both the traditional and connected environments. To test different components of CLACD, high-quality […]
Read MoreDr. Saeed Mohammadian Former Higher Degree Research Student Brief Detail: Saeed is a postdoctoral research fellow in Transport Engineering. Saeed’s PhD thesis was focused on understanding freeway traffic flow dynamics and their safety implication with a special focus on the role of human factors. As part of his doctoral work, he has conducted critical meta-research […]
Read MoreDr. Rusdi Bin Rusli Former Higher Degree Research Student Brief Detail: Dr Rusli’s PhD thesis examined the characteristics of road traffic crashes on rural mountainous roads and compared these with the characteristics of crashes on roads located in non-mountainous areas. He further investigated the effects of roadway geometrics, traffic characteristics, real-weather conditions, cross-sectional elements, roadside […]
Read MoreDr. Oscar Hernando Oviedo Current Higher Degree Research Student PhD Title: A New Model for Behavioural Adaptation in Distracted Driving Brief Detail: Dr Trespalacios’s PhD thesis explores the mechanisms of compensatory behaviours in mobile phone distracted driving, which is a major cause of road accidents. He uses models of human behavioural adaptation and integrates driving […]
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